Manager - Genai Full Stack Developer

Manager role leading teams to deliver end-to-end Generative AI (GenAI) solutions, including RAG and agentic AI, from strategy through build, deployment, and adoption. Responsibilities include designing, building, and implementing custom AI/GenAI solutions, architecting agentic AI systems, leading RAG implementations, driving GenAI model build activities, overseeing deployment, and leading development pods.

What you'd actually do

  1. Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  2. Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  3. Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  4. Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  5. Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.

Skills

Required

  • GenAI / NLP / Agentic AI
  • Python programming
  • Natural Language Processing (NLP)
  • Agentic AI, including LangChain, LangGraph, and LlamaIndex
  • RAG (Retrieval-Augmented Generation)
  • Prompt engineering
  • Vector databases (design/usage/integration)
  • Model build + deployment
  • GenAI model build: training, fine-tuning, validation
  • Model deployment (serving patterns, monitoring, iteration)
  • Containers (e.g., Docker)
  • Data engineering + APIs
  • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
  • FastAPI (or equivalent) to build backend services
  • API development and integration (RESTful services)
  • Full stack engineering
  • JavaScript/TypeScript
  • HTML/CSS plus SASS/LESS
  • UI/UX design principles
  • Front-end frameworks: React, Angular

What the JD emphasized

  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • GenAI / NLP / Agentic AI
  • Python programming
  • Natural Language Processing (NLP)
  • Agentic AI, including LangChain, LangGraph, and LlamaIndex
  • RAG (Retrieval-Augmented Generation)
  • Prompt engineering
  • Vector databases (design/usage/integration)
  • Model build + deployment
  • GenAI model build: training, fine-tuning, validation
  • Model deployment (serving patterns, monitoring, iteration)
  • Data engineering + APIs
  • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
  • API development and integration (RESTful services)

Other signals

  • Generative AI
  • Agentic AI
  • RAG
  • Full Stack Development
  • Team Leadership