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MoxiePosted 3 Nov 2026

Staff AI Engineer

Confirmed Pakistan eligibleSalary not disclosed

At the employer, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide. Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey. STAFF AI ENGINEER We're looking for a Staff AI Engineer to lead some of the employer's highest-impact AI projects in Q4 2026 and H1 2027, including Maia, the Context Engine, and AI drafts. Beyond the project work, you'll provide technical leadership across the company and own and validate major architectural decisions that shape how the employer builds, with particular responsibility for our AI systems and shared AI platform. You'll join the Client Experience team and work day to day with Product, Design, QA, Operations, and your engineering peers. You'll inherit live LLM features and a growing shared platform underneath them, including customer-facing systems where quality is visible to patients and providers. The bar is production, not demos. OUR OBJECTIVES FOR THE ROLE - Become a primary IC on the employer's AI initiatives. Within your first month you're contributing to production AI systems, understanding our architecture and key workflows, and identifying opportunities for improvement. By month three you're a leading technical contributor on one or more AI initiatives, including Maia, AI drafts, or the Context Engine. - Ship early wins that improve AI quality and reliability. Within your first two months, deliver targeted fixes and improvements to known failure modes, evaluation coverage, or production reliability, with measurable evidence that they worked. - Lead a major AI project from design to production. Take one meaningful AI initiative through design, architecture review, cross-functional collaboration, and launch, including the evaluation and guardrail systems…

RemoteRemoteFull-timePrincipal
Candidate SourcingPosted 29 Oct 2026

AI Engineer

Confirmed Pakistan eligibleSalary not disclosed

Position Type: Full-Time | Remote Working Hours: U.S. Business Hours About the Role We’re looking for a skilled AI Engineer to build, deploy, and improve AI-powered systems and features. You’ll work across the full development lifecycle, from prototyping and model development to production deployment, integration, and performance monitoring. The ideal candidate has strong Python and machine learning skills, practical experience with NLP or LLM-based applications, and the ability to turn AI concepts into reliable, scalable products. You should be comfortable working independently, making technical decisions, and continuously improving deployed systems. Key Responsibilities AI Model Development • Design, build, and iterate on AI-powered systems and features. • Develop prototypes and turn successful experiments into production-ready solutions. • Apply machine learning techniques to solve practical product and customer problems. Pipeline Architecture & Performance • Design and maintain reliable, scalable data and model inference pipelines. • Optimize AI systems for performance, reliability, and efficiency. • Identify and resolve bottlenecks across data processing and model execution. Integration & Deployment • Integrate AI models into existing product infrastructure and software systems. • Manage the process from experimentation and testing through deployment and monitoring. • Work with APIs and supporting infrastructure to ensure smooth integration. Applied AI Research & Development • Stay current with developments in AI, machine learning, NLP, and LLMs. • Evaluate new techniques and tools for practical use within the existing technical stack. • Translate relevant research and advancements into measurable product improvements. Quality, Evaluation & Iteration • Monitor deployed model performance and diagnose issues. • Evaluate models against benchmarks and defined quality criteria. • Drive continuous improvement through systematic testing, evaluation…

RemoteRemoteFull-time
Product & DesignPosted 27 Oct 2026

Senior Data Scientist

Confirmed Pakistan eligibleSalary not disclosed

the employer [link available with access] employer.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use the employer to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. the employer users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, the employer lets them control their financial moves in the same app they use to safely store or spend money worldwide. the employer has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 [link available with access] employers-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 [link available with access] We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. RESPONSIBILITIES As a Data Scientist at the employer, you’ll help shape our consumer products through rigorous analysis, experimentation, and reliable data. You’ll work closely with Product, Engineering, Design, and Growth to understand user behavior, identify opportunities, and guide product decisions. - Analyze user journeys, activation, engagement, retention, and monetization to identify opportunities and recommend product improvements. - Design and evaluate A/B tests, including hypotheses, success metrics, guardrails, sample sizing, and interpretation. Communicate uncertainty and distinguish observed relationships from causal effects. - Define and maintain product metrics, and partner with Engineering to improve instrumentation and validate the data behind them. - Build reusable analytical datasets and dbt models using …

RemoteRemoteFull-timeSenior
TechnologyPosted 26 Oct 2026

Data Engineer

Confirmed Pakistan eligibleSalary not disclosed

Role: Data Engineer Location: Remote Work Week: Sunday – Thursday Work Timings: 9:00 AM – 6:00 PM (Saudi Arabian Time Zone) About Us the employer is on a mission to revolutionize e-commerce in the MENA region and beyond by building the most convenient and trustworthy re-commerce marketplace in the region. We're reshaping how C2C marketplaces operate, making buying and selling second-hand products seamless and reliable. Since our launch in July 2021, the employer has become one of the fastest-growing startups in the region, achieving rapid expansion in both our team and product offerings. In recognition of our impact and growth, we were proudly named one of the Top 10 LinkedIn Startups in Saudi Arabia for 2024. Overview We’re seeking a Data Engineer to design, build, and maintain the data infrastructure that underpins our analytics, ML models, and decision-making processes. You’ll be responsible for building scalable data pipelines, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization. Working closely with data scientists, analysts, and product teams, you’ll enable data-driven insights while optimizing for performance and scalability. This is a great opportunity to have a direct impact on how data is leveraged across a fast-growing company. Why Join the employer: • Be part of a fast-scaling Saudi marketplace where Finance has real influence over how the business is run. • Work directly with senior Finance leadership and gain broad exposure across accounting, audit, and financial operations. • A culture that values ownership, speed, and constant improvement over hierarchy and red tape. • Design, build, and maintain scalable and reliable data pipelines to support analytics, ML models, and business reporting. • Collaborate with data s…

RemoteRemoteFull-time
Remote opportunityPosted 22 Oct 2026

AI Engineer

Confirmed Pakistan eligibleSalary not disclosed

AI Engineer / AI Automation Specialist – LLMs, AI Agents & Workflow Automation | Remote Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role At the employer, one of our clients is hiring an AI Engineer / AI Automation Specialist to build AI-powered applications, intelligent agents, integrations, and business automations. This is a hands-on technical role for someone who can take an AI or automation use case from idea to working implementation . You’ll combine software development, LLMs, APIs, automation platforms, and agentic workflows to build systems that reduce manual work and improve business efficiency. You’ll work across generative AI, AI agents, API integrations, workflow automation, prompt engineering, and internal tooling , while continuously evaluating emerging AI technologies. What You’ll Own AI Applications & Agent Development • Design and build AI-powered applications and workflows • Develop AI agents that can execute structured tasks and business processes • Build agentic workflows using LLMs, tools, APIs, and business logic • Turn manual processes into scalable AI-assisted systems • Improve existing AI applications as business requirements evolve LLM & Generative AI Integration • Integrate LLMs with internal systems and third-party platforms • Build structured workflows around generative AI models • Develop and refine prompts, tools, and reusable AI components • Implement reliable structured outputs and workflow logic • Evaluate AI responses for quality, consistency, and reliability Automation & Business Workflows • Build automated workflows that reduce repetitive manual work • Connect applications and business systems using APIs and automation platforms • Develop workflows using tools such as Make, Zapier, n8n, or similar platforms • Troubleshoot failed or unreliable automations • Continuously improve workflow efficiency and scalability APIs & Integrations • Build and maintain API integrations b…

RemoteRemoteFull-time
FinancePosted 19 Oct 2026

Junior Business Intelligence Data Engineer

Confirmed Pakistan eligibleSalary not disclosed

About Us At the employer , we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges. Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle. The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day. If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at the employer. Junior BI Data Engineer Position Overview We’re seeking a Junior Business Intelligence (BI) Data Engineer to join our growing data team and play a key role in designing and implementing scalable data infrastructure to power analytics and reporting across the organization. This role will work closely with business stakeholders and analysts to ensure data is accurate, accessible, and actionable — enabling smarter, data-driven decisions. The position is remote in Pakistan and with working hours Monday through Friday 4:00am ET to 1:00pm ET or similar schedule. Responsibilities • Design, build, and maintain scalable data pipelines in Microsoft Fabric (Data Factory, Lakehouse, Dataflows Gen2) to support BI reporting and analytics. • Develop and optimize medallion architecture (Bronze, Silver, Gold layers) for both structured and unstructured data. • Collaborate with business stakeholders to translate business requirements into scalable, high-performance data solutions. • Ensure data quality, consistency, and governance across multiple sources and systems. • Leverage SQL and scripting…

RemoteRemoteUnspecifiedJunior
EngineeringPosted 14 Oct 2026

FinOps Data Engineer

Confirmed Pakistan eligibleSalary not disclosed

About the Role We're looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company. This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Strong communication matters as much as technical depth, you'll regularly explain a savings case or a data model's implications to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You'll Be Responsible For In this role, you'll: - Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. - Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on. - Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online. - Apply data science to cost and usage data: Build forecasting model…

RemoteRemoteFull-time
Remote opportunityFirst seen 12 Oct 2026

Data Analyst

Confirmed Pakistan eligibleUSD 1,500–1,800

Job Title: Data Analyst Location: Remote (PST Time Zone) Salary Range: up to 1800 USD Work Schedule: Monday - Friday, 8:00 AM to 4:00 PM (PST) NOTE: INDEPENDENT CONTRACTOR POSITION Company Overview: the employer is an exclusive membership community for top executives, founders, and CEOs seeking to hire and maximize the impact of international talent. We bridge the gap between global talent and US-based businesses, connecting candidates from vibrant regions like Latin America, the Philippines, India, Pakistan, Bangladesh, and Africa with leading American companies. the employer provides a high-performance remote work environment, ensuring access to world-class opportunities for top-tier professionals. About the Company: the employer represents a high-growth, data-driven company where operational precision and business intelligence are central to strategic decision-making. The team values efficiency, clear communication, and proactive problem-solving in a collaborative and fast-paced setting. Position Overview: We are seeking a Data Analyst to support both daily operations and strategic initiatives by building and maintaining data models, dashboards, and automation tools. Reporting to the Solutions Architect -- and working directly with the CEO, you'll be responsible for transforming data into actionable insights through Excel, Power BI, and lightweight automation. Key Responsibilities: • Design and maintain advanced Excel models and operational reports. • Create and manage VBA macros…

RemoteRemoteFull-time
Remote opportunityFirst seen 12 Oct 2026

GTM Engineer

Confirmed Pakistan eligibleSalary not disclosed

We're building a vetted network of AI engineers. Most AI engineers deal with the same problem: great skills, inconsistent work. One month you're slammed, the next you're hunting for clients. We've built a model that fixes that. We work with a small number of independently operated AI engineers — people who run their own businesses, build their own teams, and want a steady pipeline of well-scoped projects. We handle the client relationships. You handle the builds. What you actually get: • Consistent project work. • $35/hour • A PRD with every single project (no ambiguous briefs, no scope creep surprises) • Full autonomy - hire people under you, build your team, run your business how you want • We only ever interface with you, not your sub-contractors • $1,000 referral bonus for every engineer you refer who earns their first $1,000 with us What we're looking for: You're AI-native - not "I use Claude occasionally" but actually building with it daily. Within 10 minutes of talking to you, it's obvious. You're probably active in communities like n8n, y…

RemoteRemoteContract
Remote opportunityFirst seen 12 Oct 2026

Senior AI/ML Engineer

Confirmed Pakistan eligibleSalary not disclosed

Requirements: • Strong experience with FastAPI (or equivalent async frameworks), including dependency injection, UV, Pydantic, and async/await patterns (including thread pool executors for blocking operations). • Solid understanding of REST API design, including multi-tenancy, pagination, filtering, JWT/OAuth2 authentication, and structured error handling. • Proficiency in SQLAlchemy (including async sessions), raw parameterized queries, schema design, and migrations. • Hands-on experience integrating multiple LLM providers (e.g., OpenAI, Anthropic, AWS Bedrock, Ollama, Google Gemini, Snowflake Cortex) using provider abstraction layers. • Experience with JSON response validation, markdown/code-block extraction, and fallback error handling (preferably using frameworks like Pydantic). • Knowledge of prompt engineering techniques, including context injection, temperature/token tuning, and confidence scoring. • Familiarity with embedding-based retrieval and similarity scoring. • Experience with production-grade agentic frameworks such as Pydantic AI (structured output generation, agents). • Strong experience with gradient boosting models (e.g., XGBoost, LightGBM), including GPU-accelerated training, hyperparameter tuning, and evaluation. • Expertise in segmentation, anomaly detection, and feature engineering on high-frequency sensor data. • Experience with train/test splits, feature engineering, model evaluation (R², MAE, etc.), and experiment tracking (e.g., MLflow). • Understanding of when to combine classical ML with LLM-based components (e.g., LLM-assisted labeling, embedding features in tree models). • Strong database knowledge, including complex schemas, JSONB, parti…

RemoteRemoteUnspecifiedSenior
PulsepointPosted 8 Oct 2026

ML Engineer

Confirmed Pakistan eligibleSalary not disclosed

tl;dr: Classic ML, post-acquisition health/adtech, remote, up to $150k, we can talk higher figures and EU/UK/US employment PulsePoint sits at the intersection of healthcare and adtech. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. We are 300+ and growing, post-acquisition business and one of the leading players in the US healthcare ad market. We are looking for a Senior Machine Learning Engineer, who will help us: - Optimize and validate targeting mechanisms for specific health conditions. - Improve and optimize our proprietary contextualization and recommendation engines that handle millions…

RemoteRemoteFull-time
All Published JobsPosted 28 Sept 2026

Principal AI Engineer

Confirmed Pakistan eligibleSalary not disclosed

Job Brief: the employer is looking for an experienced AI Engineer to join our innovative team. The successful candidate will have a robust understanding of machine learning algorithms and technologies. You will be responsible for designing, implementing, and optimizing AI models and tools to solve complex problems and enhance our products. Duties and Responsibilities: • Develop and implement machine learning models and algorithms. • Analyze large datasets to derive actionable insights and improve AI systems. • Collaborate with data scientists and software engineers to integrate AI functionalities into existing applications. • Research and implement the latest advancements in AI technologies and methodologies. • Monitor and evaluate the performance of AI models and tweak as necessary. • Provide technical support to other teams in utilizing AI solutions effectively. • Document development processes, model designs, and results to ensure reproducibility and efficiency. • Participate in code reviews and share best practices with…

RemoteRemoteFull-timePrincipal
MarketingPosted 17 Sept 2026

Marketing & Data Analyst

Confirmed Pakistan eligibleSalary not disclosed

We are the employer, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. Currently, we are looking for a Marketing & Data Analyst for RNK Health to own marketing and product analytics, reporting, and tracking across their acquisition channels. Type: Full time Location: Remote Working hours: 14:00-22:00 EEST (Kyiv time) ABOUT RNK HEALTH RNK Health is a fast growing telehealth brand. We help people get treatments like NAD+, sermorelin, tirzepatide, semaglutide, and B12 — prescribed by licensed providers and shipped to their door. We run our own ads, funnels, creative, email/SMS, affiliates, and analytics. What this job is You own marketing and product analytics, tracking, and reporting across the business. This is a hands-on role. You will analyze acquisition, product, and retention performance, maintain tracking systems, investigate data issues, and provide clear insights for business and marketing decisions. You should understand both marketing and the technical side of analytics, from CAC, LTV, funnels, and attribution to GTM, pixels, and server-side tracking. WHAT YOU WILL OWN Marketing, product & retention analytics Analyze performance across the full customer journey, from acquisition and funnel conversion to subscription performance, retention, and LTV. Track CAC, ROAS, CR, cohorts, rebills, cancellations, refunds, churn, and customer lifetime value. Identify trends, performance changes, and opportunities for improvement, and turn the data into clear reports and actionable insights for marketing, product, and business decisions. Funnels and A/B testing Analyze user behavior and acquisition funnels, identify conversion opportunities, and evaluate A/B tests across landing pages, pricing, and customer journeys. Attribution Understand how attribution works across Meta, Google, internal data, and o…

RemoteRemoteFull-time
Remote opportunityPosted 14 Sept 2026

Full-Stack AI Engineer

Confirmed Pakistan eligibleSalary not disclosed

Full-Stack AI Engineer Position Type: Full-Time, Remote Working Hours: U.S. Business Hours Location: Remote (LATAM, Eastern Europe, Pakistan, India, South Africa Preferred) About the Role At the employer, one of our clients is hiring a Full-Stack AI Engineer to build, deploy, and scale AI-powered applications that solve real business problems. This role combines full-stack software engineering with applied AI/ML expertise. You’ll work across AI pipelines, backend systems, APIs, cloud infrastructure, and modern frontend frameworks to deliver scalable, production-ready AI applications. You’ll collaborate closely with engineering, product, and data teams to build intelligent automation, chat experiences, analytics tools, and AI-powered workflows. Responsibilities AI & LLM Development • Integrate AI/ML models using OpenAI, Hugging Face, TensorFlow, PyTorch, or similar frameworks. • Build AI inference APIs using FastAPI, Flask, Node.js, or similar technologies. • Develop RAG pipelines using vector databases such as Pinecone, Weaviate, or FAISS. • Implement embeddings, semantic search, and AI-powered workflows. • Optimize inference performance, scalability, and cost. Full-Stack Development • Build frontend applications using React, Next.js, Vue, or similar frameworks. • Develop backend services and APIs connecting AI models with business logic. • Build AI-powered features including chatbots, copilots, dashboards, and automation tools. • Design secure, scalable, and maintainable application architectures. Data & Infrastructure • Build ETL pipelines and data workflows using Airflow, Prefect, Dagster, or similar tools. • Manage structured and unstructured datasets. • Deploy AI services using Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. • Build CI/CD pipelines and monitor system performance, reliability, and costs. Security & Collaboration • Implement secure authentication, authorization, and API protection. • Maintain compliance …

RemoteRemoteFull-time
Candidate SourcingPosted 14 Sept 2026

E-commerce Operations & Data Analyst

Confirmed Pakistan eligibleSalary not disclosed

E-commerce Operations & Data Analyst – Remote Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role At the employer, one of our clients is hiring an E-commerce Operations & Data Analyst to support the day-to-day logistics, inventory management, operational reporting, and data analysis of a growing e-commerce business. This is an operations-first role , not a highly technical data engineering position. You’ll coordinate freight and inventory, maintain accurate operational data, manage Shopify information, build reports and dashboards, and use spreadsheets to help the business make better operational decisions. You’ll also use modern AI tools such as ChatGPT and Claude to streamline repetitive work, improve reporting, and make internal processes more efficient. The ideal candidate combines logistics and e-commerce experience with strong spreadsheet and analytical skills and enjoys continuously improving how operations are run. What You’ll Own Logistics & Freight Coordination • Manage freight and shipment coordination from start to finish. • Track shipments, deliveries, and fulfillment timelines. • Coordinate closely with warehouses and logistics partners. • Maintain visibility into shipment status and proactively address delays. • Keep accurate and organized logistics records. • Ensure day-to-day logistics workflows run smoothly. Inventory & Purchase Order Management • Monitor inventory levels and stock availability. • Create and manage purchase orders based on inventory needs. • Use sales trends and forecasting data to support purchasing decisions. • Help prevent stockouts and unnecessary overstock. • Maintain accurate inventory trackers and records. • Support inventory planning across products and fulfillment channels. E-commerce Operations • Manage and update product and operational data within Shopify. • Maintain accurate product information and internal records. • Support day-to-day e-commerce operational wo…

RemoteRemoteFull-time
Remote opportunityPosted 6 Sept 2026

L1 Data Engineer

Confirmed Pakistan eligibleSalary not disclosed

We are looking for a motivated and technically solid L1 Data Engineer to join our growing Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining the data architecture and infrastructure that supports our organization's data strategy. You will work hands-on to develop, test, and deploy reliable data solutions — ensuring pipelines are scalable, efficient, and aligned with business requirements. This is an ideal opportunity for a data professional who is eager to deepen their expertise in cloud-native data platforms, particularly within the Microsoft Azure and Databricks ecosystem, and who thrives in a collaborative, fast-paced environment. KEY RESPONSIBILITIES • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support business intelligence and analytics use cases. • Build and optimize data ingestion processes using Azure Data Factory and Databricks, ensuring data quality and consistency across all layers of the data platform. • Transform and process large datasets using PySpark and Python, applying best practices for performance and maintainability. • Write and optimize complex SQL queries to support analytical reporting and data validation requirements. • Collaborate with data architects and senior engineers to implement and maintain data models aligned with organizational standards. • Monitor, troubleshoot, and resolve pipeline failures and data quality issues, applying root-cause analysis to prevent recurrence. • Contribute to documentation of data pipelines, data dictionaries, and engineering standards. • Support the team in exploring and evaluating new tools and approaches to continuously improve the da…

RemoteRemoteFull-time
StemPosted 4 Sept 2026

Remote Opportunity

Confirmed Pakistan eligibleSalary not disclosed

> Project Overview We are sourcing experienced technical specialists in Machine Learning to audit tasks used to train and evaluate AI systems. The objective of this project is to ensure that AI training workflows and tasks are technically rigorous, practical, and highly accurate within your specific area of expertise. Project Deliverables & Scope • Task Evaluation: Assess whether machine learning tasks are technically accurate, realistic, solvable, reproducible, and supported by reliable tests and evaluation criteria. • Technical Auditing & Feedback: Provide clear, actionable feedback on any identified data pipeline flaws, model training inefficiencies, or algorithmic logic errors within the tasks. Required Expertise • Demonstrable professional exper…

RemoteRemoteContract
Remote opportunityPosted 26 Aug 2026

Lead Engineer

Confirmed Pakistan eligibleSalary not disclosed

We’re Hiring: AI Engineering Lead Company: CoPilot Innovations Location: Remote Experience: 5+ years in AI/ML engineering, including 2+ years leading or mentoring engineers CoPilot Innovations, a subsidiary of The Plumtree Group, is looking for an AI Engineering Lead to act as the technical authority across our engineering team. This is a hands-on leadership role for someone who can build production-ready AI systems while coaching engineers, reviewing architectures, and setting strong engineering standards internally as well as across client accounts. 🎥 Learn more about our culture: [link available with access] What You’ll Do: • Architect and ship end-to-end AI applications across GenAI, agentic AI, ML/DL including computer vision, and automation • Lead technical direction for AI projects across multiple accounts • Review solution architecture and ensure scalable, secure, enterprise-ready builds • Coach and mentor engineers through code reviews, 1:1s, and growth plans • Define best practices for AI-first software development, cloud deployment, and engineering quality What We’re Looking For: • Strong hands-on experience with Python, LLM applications, RAG, …

RemoteRemoteFull-timeLead

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