AES - DE - Generative AI Application Developers

Reposted One Month Ago
Be an Early Applicant
Pune, Mahārāshtra, IND
In-Office
Senior level
Information Technology
The Role
Build production-grade generative AI/LLM applications and agentic systems: design cloud-native microservices, implement RAG/embedding pipelines, integrate LLM APIs and enterprise tools, apply guardrails and eval frameworks, ensure observability, and collaborate with architects and AI/ML engineers to ship reliable solutions.
Summary Generated by Built In

Key Skills Required

  • Core Engineering
    • Strong Python; TypeScript / Node.js a plus
    • REST / gRPC API design, async programming, FastAPI or equivalent
    • Experience building cloud-native microservices
    • Hands-on experience with Kafka-based event-driven architecture
    • Practical understanding of Domain-Driven Design (DDD) concepts
    • Git, GitHub Actions, FluxCD, GitOps workflows
    • Docker, Kubernetes, Helm
  • GenAI / LLM Development
    • Hands-on with LLM APIs (OpenAI, Anthropic, Azure OpenAI, open-source models)
    • Prompt engineering, prompt versioning, structured output (JSON schema, Pydantic)
    • RAG pipeline implementation — chunking, embeddings, vector stores (pgvector, FAISS, Pinecone, Weaviate)
    • Function calling, tool use, and agent loops
  • Agentic Frameworks & Tooling
    • LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, or equivalent
    • MCP server/client implementation
    • Familiarity with Speckit, GitHub Copilot extensions, Figma MCP integration
    • Experience building coding agents, review agents, or test-generation agents
  • Evaluation & Guardrails
    • Working knowledge of eval frameworks (Ragas, DeepEval, promptfoo, LangSmith)
    • Guardrail implementation (NeMo Guardrails, Guardrails AI, custom validators)
    • Observability: LangFuse, OpenTelemetry, token/cost dashboards
  • Data & Integration
    • SQL and NoSQL basics; data pipelines for ingestion and indexing
    • Integration with enterprise systems (Jira, Confluence, GitHub, Artifactory)
    • Cloud services (Azure / AWS / GCP) — storage, compute, identity
  • Soft Skills
    • Collaborative team player; works closely with the Solution Architect and AI/ML Engineer
    • Quick learner who stays current with the fast-moving GenAI ecosystem
    • Strong ownership — ships production-grade code, not prototypes.
Responsibilities

Part of Agentic AI team 

Qualifications

BE Computer, 4-8 years of experience

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.

Skills Required

  • BE Computer
  • 4-8 years of experience
  • Strong Python
  • TypeScript / Node.js
  • REST / gRPC API design and async programming
  • FastAPI or equivalent
  • Experience building cloud-native microservices
  • Hands-on experience with Kafka-based event-driven architecture
  • Practical understanding of Domain-Driven Design (DDD) concepts
  • Git, GitHub Actions, FluxCD, GitOps workflows
  • Docker, Kubernetes, Helm
  • Hands-on with LLM APIs (OpenAI, Anthropic, Azure OpenAI, open-source models)
  • Prompt engineering, prompt versioning, structured output (JSON schema, Pydantic)
  • RAG pipeline implementation: chunking, embeddings, vector stores (pgvector, FAISS, Pinecone, Weaviate)
  • Function calling, tool use, and agent loops
  • Experience with agentic frameworks and tooling (LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI or equivalent)
  • MCP server/client implementation
  • Familiarity with Speckit, GitHub Copilot extensions, Figma MCP integration
  • Experience building coding agents, review agents, or test-generation agents
  • Working knowledge of eval frameworks (Ragas, DeepEval, promptfoo, LangSmith)
  • Guardrail implementation experience (NeMo Guardrails, Guardrails AI, custom validators)
  • Observability tools knowledge (LangFuse, OpenTelemetry, token/cost dashboards)
  • SQL and NoSQL basics; data pipelines for ingestion and indexing
  • Integration with enterprise systems (Jira, Confluence, GitHub, Artifactory)
  • Cloud services experience (Azure / AWS / GCP) — storage, compute, identity
  • Collaborative team player; works closely with Solution Architect and AI/ML Engineer
  • Quick learner who stays current with GenAI ecosystem
  • Strong ownership; ships production-grade code

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.

  • Retirement Support — A 401(k) with company match and immediate vesting is highlighted, with broad fund options available.
  • Wellbeing & Lifestyle Benefits — Work-life balance, remote/hybrid flexibility, and supportive teams are emphasized as strengths that enhance the overall experience.
  • Parental & Family Support — Inclusive policies such as parental leave and access to EAP and dependent medical coverage are promoted across regions.

Zensar Technologies Insights

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The Company
HQ: Pune, Maharashtra
10,000 Employees
Year Founded: 2001

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

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