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
Skills Required
- Strong Python with solid OOP, typing, and packaging
- Test automation frameworks: pytest, Playwright or Cypress, Pact (contract testing)
- Git, GitHub Actions, FluxCD and GitOps workflows
- Container and orchestration basics: Kubernetes, Docker, Helm
- Experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering
- RAG pipelines, embeddings, and vector stores (FAISS, pgvector or similar)
- Orchestration frameworks: LangChain, LlamaIndex or equivalent
- Awareness of fine-tuning/model adaptation techniques (LoRA, PEFT)
- LLM evaluation frameworks: Ragas, DeepEval, promptfoo, LangSmith
- Familiarity with evaluation metrics: groundedness, faithfulness, accuracy, latency, token cost
- Golden dataset design and regression harness setup
- Observability tooling: OpenTelemetry, LangFuse, MLflow
- Guardrails and policy engines: NeMo Guardrails, Guardrails AI, Llama Guard or custom solutions
- Output schema validation skills (Pydantic, JSON Schema)
- PII/IP leakage detection, hallucination checks, rate-limit and cost controls
- Code quality and 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, clear documentation, evidence-based reporting, comfortable in hybrid POD environment
Zensar Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zensar Technologies and has not been reviewed or approved by Zensar Technologies.
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Retirement Support — A 401(k) with company match and immediate vesting is highlighted, with broad fund options available.
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Wellbeing & Lifestyle Benefits — Work-life balance, remote/hybrid flexibility, and supportive teams are emphasized as strengths that enhance the overall experience.
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Parental & Family Support — Inclusive policies such as parental leave and access to EAP and dependent medical coverage are promoted across regions.
Zensar Technologies Insights
What We Do
Zensar is a leading experience, engineering, and technology solutions company. We conceptualize, build, and manage digital products for Forbes Global 2000 clients across the hi-tech engineering, banking and financial services, insurance, manufacturing and consumer services verticals. With proven excellence across five core areas, including experience services, advanced engineering services, data engineering and analytics, foundation services, and application services, our solutions leverage industry-leading platforms to help our clients be competitive, agile, and disruptive while moving with velocity through change and opportunity. Zensar’s expansive ecosystem of 60+ technology partners, including Oracle, Salesforce, SAP, Guidewire, Automation Anywhere, Adobe, and UiPath, enables us to deliver comprehensive solutions to clients, facilitating seamless integration and allowing them to leverage cutting-edge technologies and tools for enhanced business outcomes. Zensar is part of the USD 4.4 billion RPG Group. With headquarters in Pune, India, our 10,500+ employees, representing over 50 nationalities, work from 30+ locations across North America, UK/Europe, and South Africa. Visit us at www.zensar.com
