Description

You will design and implement GenAI and agentic components, including prompt engineering, tool orchestration, and retrieval mechanisms.

This role is on-site.

Responsibilities

• Design and implement GenAI/Agentic components aligned to business workflows.
• Build production-grade pipelines for data ingestion, embeddings, and model APIs.
• Partner with AI Tech Leads to translate requirements into scalable solutions.
• Embed quality, safety, and observability including guardrails and performance tuning.
• Support enterprise readiness via documentation, incident triage, and continuous improvement.

Required Skills

• Strong proficiency in Python.
• Experience with orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or CrewAI.
• Knowledge of CI/CD for AI workflows and LLMOps practices.
• Experience with model and prompt lifecycle management.
• Familiarity with feature flags and environment promotion (dev → test → prod).
• 5+ years of experience.
• Any Graduate.

Preferred Skills

• Experience with human-in-the-loop patterns.
• Background in rapid prototyping and controlled rollout strategies.

Key Skills

Education

Any Gradute