Lead Generative AI Engineer

3 weeks ago

Lahore, Punjab, Pakistan Cogent Labs Full time

Join to apply for the Lead Generative AI Engineer role at Cogent Labs

Join to apply for the Lead Generative AI Engineer role at Cogent Labs

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Role Overview

As a

Role Overview

As a Lead Generative AI Engineer at Cogent Labs, you%u2019ll own the design and deployment of scalable, production-ready GenAI solutions. You%u2019ll lead initiatives in LLM integration, AI agents, and multi-agent systems, while driving innovation using the latest tools and research. In this role, you will collaborate cross-functionally, mentor engineers, and shape our GenAI strategy across products and platforms.

Key Responsibilities

  • Design and lead the development of LLM-based applications using cutting-edge frameworks for agentic workflows and system coordination
  • Architect agentic and multi-agent systems to handle complex workflows
  • Drive prompt engineering strategies and own the quality of model outputs
  • Implement RAG pipelines, fine-tune LLMs, and manage inference at scale
  • Collaborate with product, data, and engineering teams to integrate AI into production systems
  • Mentor junior engineers, set engineering standards, and contribute to internal GenAI tooling
  • Stay ahead of the curve on advancements in LLMs, GenAI architectures, and multimodal models
  • Ensure models are secure, efficient, explainable, and compliant with responsible AI practices

Must-Have
  • 5+ years of professional experience in AI/ML, Data Science, Data Engineering or a related field
  • At least 2 years of hands-on experience with:
    • LangChain, LangGraph, and LangSmith
    • Advanced Prompt engineering
    • Multi-agentic systems (CrewAI, A2A etc.)
    • Evaluation Framework(s)
    • Retrieval-Augmented Generation (RAG) and LLM fine-tuning
  • Strong Python expertise, especially in object-oriented and async programming
  • Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure
  • Proven ability to solve complex, non-trivial problems using LLMs and generative AI
  • Solid understanding of transformer architecture and model optimization
  • Familiarity with MCP (Model Context Protocol)
  • Experience with observability for GenAI Applications
Nice to Have
  • Experience with multimodal models (e.g., vision + language)
  • Experience with hosting and scaling self-hosted models
  • Exposure to FastAPI, Django, or other API frameworks

Soft Skills
  • Strong communicator with leadership and mentoring skills
  • Collaborative and able to turn abstract ideas into real solutions
  • Proactive, self-driven, and thrives in fast-paced environments
  • Self accountability and the ability to set a higher bar for the team

Deal Breakers
  • No experience with LangChain
  • No track record in prompt engineering or LLM-based applications

%uD83C%uDFA5 Mandatory Loom Video Submission (Required with Application)

Please record a short Loom video answering all of the following questions:
  • What makes you a strong fit for this position?
  • Share one of the best technical problems you%u2019ve solved in Generative AI.
  • How do you stay updated with the latest trends and developments in AI?
  • What do you value most when choosing an organization to work with?

%u26A0%uFE0F Note: Submissions without a Loom video answering all four questions will not be considered.

%uD83D%uDCE9 How to Submit
  • Share a Loom video link or a Google Drive link
  • If using Google Drive, please ensure the video is accessible (set to "anyone with the link can view")
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

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