Lead Generative AI Engineer

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")