Key Skills Required

* Core Engineering
* Strong Python; solid OOP, typing, packaging
* Test automation frameworks: pytest, Playwright/Cypress, Pact (contract
testing)
* Git, GitHub Actions / FluxCD, GitOps workflows
* Kubernetes, Docker, Helm basics
* AI / LLM Engineering
* Hands-on with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt
engineering
* RAG pipelines, embeddings, vector stores (FAISS, pgvector, or similar)
* LangChain / LlamaIndex or equivalent orchestration frameworks
* Fine-tuning and model adaptation basics (LoRA / PEFT awareness)
* Evaluation & Observability
* LLM evaluation frameworks: Ragas, DeepEval, promptfoo, LangSmith
* Metrics: groundedness, faithfulness, accuracy, latency, token cost
* Golden dataset design and regression harness setup
* Observability: OpenTelemetry, LangFuse, MLflow




* Guardrails & Trust
* NeMo Guardrails, Guardrails AI, Llama Guard, or custom policy engines
* Output schema validation (Pydantic, JSON schema)
* PII / IP leakage detection, hallucination checks, rate-limit and cost
controls
* Quality & DevOps
* SonarQube, static analysis, code review automation
* CI/CD integration of AI tests and evals
* Familiarity with Speckit-driven and agentic delivery workflows
* Soft Skills
* Collaborative mindset — works across GenAI Architect, domain developers,
and QA
* Transparent documentation and evidence-based reporting
* Comfortable operating in a hybrid Zensar + Vanderlande POD environment

📌 AES - DE - Generative AI Prompt Engineers (Pune)
🏢 Zensar
📍 Pune