Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

AES - DE - Generative AI Prompt Engineers at ZENSAR TECHNOLOGIES SINGAPORE PTE LTD

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

06 Oct, 26

Salary

0.0

Posted On

08 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Core Engineering, Strong Python, Test Automation Frameworks, Git, Kubernetes, Docker, AI Engineering, Hands-on with LLM APIs, RAG Pipelines, LangChain, Fine-tuning, LLM Evaluation Frameworks, Metrics, Observability, Guardrails, Quality

Industry

IT Services and IT Consulting

Description

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

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The role involves evaluating problem statements to determine the appropriate use of AI versus deterministic engineering. It also includes designing and implementing pipelines for both deterministic and AI-driven systems, ensuring reliability and compliance.