Generative AI Engineer

Generative AI Engineer

As a Generative AI Engineer
, you’ll be a core member of this pod, building and integrating agentic systems powered by cutting‑edge LLM and GenAI technologies. You’ll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production‑ready enterprise solutions.

• Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks.
• Integrate GenAI models into full‑stack applications and internal workflows.
• Collaborate on prompt engineering, model fine‑tuning, and evaluation of generative outputs.
• Build reusable components and services for multi‑agent orchestration and task automation.
• Optimize AI inference pipelines for scalability, latency, and cost efficiency.
• Participate in architectural discussions, contributing to the pod’s technical roadmap.

• 8 years of software engineering experience with at least 2‑3 years in AI/ML or GenAI systems in production
• Hands‑on experience with Python only for AI/ML model integration.
• Experience with LLM frameworks (Lang Chain, Llama Index is a must)
• Exposure to agentic frameworks (Langgraph, Google ADK, is a must)
• Understanding of Git, CI/CD, Dev Ops
  , and production‑grade GenAI deployment practices.
• Familiarity with Google Cloud Platform (GCP) — e.g., Vertex AI, Cloud Run, and GKE.

• Experience building AI APIs, embeddings, vector search
  , and integrating them into applications.
• Experience fine‑tuning open‑source models (LLaMA, Mistral, etc.) or working with OpenAI APIs.
• Exposure to multi‑modal AI systems (text, image, or voice).
• Familiarity with Low‑Code/No‑Code tools (e.g., App Sheet) for workflow integration.

Mid‑Senior level

Contract

Information Technology

IT Services and IT Consulting

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