GenAI Engineer_ Pune at Zensar Technologies UK Ltd

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

25 Mar, 26

Salary

0.0

Posted On

25 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Development, Python, PyTorch, TensorFlow, LLM Ecosystems, RAG Systems, API Development, Cloud Platforms, Problem-Solving, Communication, Agentic Frameworks, Workflow Automation, Multi-Agent Orchestration, Ethics & Safety, Continuous Innovation, Developer Productivity Tools

Industry

IT Services and IT Consulting

Description

Key Responsibilities · Design & Build Agentic AI Systems: Develop autonomous AI agents for planning, reasoning, and executing multi-step tasks with minimal human intervention. · Workflow Automation: Identify and automate repetitive business processes using AI agents to improve efficiency. · Developer Productivity Tools: Build AI-powered solutions for code generation, debugging, refactoring, and documentation across SDLC. · Business Impact: Collaborate with stakeholders to design AI solutions that improve KPIs such as revenue, cost optimization, and customer experience. · Enterprise Integration: Develop APIs and integrate AI agents with enterprise platforms, databases, and collaboration tools. · Multi-Agent Orchestration: Implement frameworks to coordinate multiple AI agents for complex workflows. · Ethics & Safety: Apply guardrails, monitoring, and security measures to ensure responsible AI usage and prevent adversarial attacks. · Continuous Innovation: Stay updated on advancements in LLMs, agentic AI, and emerging technologies to enhance solutions. Required Skills & Experience · Experience: 4+ years in AI/ML development, focusing on agentic or autonomous systems. · Programming: Strong expertise in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face). · Deep knowledge of LLM ecosystems (e.g., Azure OpenAI/OpenAI, Anthropic, Google, Meta): prompting, function calling, MCP (Model Context Protocol), Agent-to-Agent (A2A), token/cost management. · Expertise in RAG and Memory systems: vector DBs (FAISS, Pinecone, Milvus, pgvector/Postgres, Elastic/OpenSearch), embedding strategies, and rerankers. · Understanding of LLMOps and eval tooling: LangSmith, TruLens, Ragas, DeepEval, W&B, MLflow; prompt caching/compression; distillation. · Agentic Frameworks: Hands-on experience with AI agent orchestration tools and multi-agent coordination - LangGraph, AutoGen, Sematic Kernel, CrewAI (or similar) and tool integrations. · API Development: Proficiency in FastAPI/Flask and system integration. · Hands-on with coding agents & IDEs: GitHub Copilot, Cursor, Claude Code etc. and IDE integrations (VS Code/IntelliJ/JetBrains); expert in vibe coding workflows. · Cloud Platforms: Familiarity with AWS, Azure, or GCP for AI deployment. · Soft Skills: Strong problem-solving, communication, and ability to translate technical concepts for business teams Education & Certifications · Bachelor’s/Master’s in Computer Science, Software Engineering, Data/AI, or related field (or equivalent experience). · Preferred: ML/AI certifications (Azure/AWS/GCP)

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Responsibilities

The GenAI Engineer will design and build autonomous AI systems, automate workflows, and develop AI-powered tools to enhance developer productivity. They will also collaborate with stakeholders to create AI solutions that positively impact business KPIs.