We are looking for a highly skilled AI/ML Python Engineer to design and deliver enterprise-grade GenAI solutions on Azure AI, Google Vertex AI, or similar cloud platforms.

This role requires deep hands-on expertise in LLMs, agentic systems, RAG architectures, and scalable Python microservices.

Key Responsibilities :

- Architect and deploy end-to-end AI solutions (LLMs, RAG, agentic workflows, MCP-based systems).

- Build scalable Python applications, REST APIs, and AI-powered microservices.

- Design multi-agent orchestration flows (Planner/Worker/Critic models) with checkpointed, resumable execution.

- Develop enterprise RAG systems (ingestion ? embedding ? retrieval ? grounded synthesis).

- Implement guardrails, evaluation frameworks, observability, and cost optimization strategies.

- Lead code reviews, enforce engineering best practices (CI/CD, MLOps, testing, monitoring).

- Collaborate with product and business teams to translate requirements into scalable AI architectures.

Must-Have Skills :

- Strong expertise in Python, FastAPI/Flask/Django, RESTful APIs, Docker & Kubernetes.

- Hands-on experience with LLMs (Azure OpenAI, Anthropic, Llama/Qwen, etc.).

- Experience in Prompt Engineering, Context Engineering, and Structured Outputs (JSON/schema).

- Built agentic systems using LangGraph, LangChain, Temporal, ADK, or similar.

- Delivered production-grade RAG pipelines with hybrid search & enterprise data sources.

- Implemented guardrails (prompt injection defense, role-based tool access, PII-safe logging).

- Strong knowledge of CI/CD, DevOps, MLOps, model evaluation & telemetry monitoring.

Ideal Candidate :

- Strong understanding of transformer architecture & LLM behavior

- Experience tuning decoding parameters & optimizing inference cost/latency

- Built at least one production AI system with monitoring & governance

- Excellent communication & stakeholder management skills

The job is for:

Women candidates preferred

Differently-abled candidates preferred

For women joining back the workforce