AES - DE - Generative AI Prompt Engineers

Zensar Technologies • Python • 1 day ago
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Location
In office (Pune)
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Zensar Technologies

Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
zensar.com • HQ: Pune, India • Custom Software Development • Software • IT Outsourcing • IT Consulting • Information Technology • 1001-5000 employees • Est. 1991

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
    • Clear documentation and evidence-based reporting
    • Comfortable operating in a hybrid Zensar + Vanderlande POD environment
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