AES - DE - Generative AI Prompt Engineers

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

Responsibilities

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

Qualifications

Experience in AI/ML Field, 4-7 years

About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.