AES-AI Engineer
Zensar Technologies
Salary undisclosed
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Description
Job Description -AI Engineer
Experience: 2–7 Years
About the Role
We are looking for a Generative OR Agentic AI Engineer with hands-on experience in building AI-powered applications using LLMs, Agentic AI frameworks, and modern cloud platforms. The ideal candidate should be able to independently prototype, develop, and demonstrate innovative AI solutions while effectively communicating with both technical and business stakeholders.
Key Responsibilities
Generative AI & Agentic AI
- Build end-to-end GenAI applications using OpenAI, Claude, Gemini, Mistral, Llama, etc.
- Develop AI agents and multi-agent systems using LangGraph, AutoGen, CrewAI, LlamaIndex, or similar frameworks.
- Design and implement RAG-based applications with vector databases and embedding models.
- Rapidly create and showcase AI PoCs and production-ready solutions.
AI Innovation & Experimentation
- Fine-tune LLMs/SLMs for domain-specific use cases.
- Create synthetic datasets for training and evaluation.
- Evaluate AI agents for performance, reliability, accuracy, and latency.
- Explore emerging standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication.
Collaboration & Communication
- Translate business requirements into AI-powered solutions.
- Present AI concepts, demos, and outcomes to technical and non-technical audiences.
- Collaborate with cross-functional teams to drive AI innovation initiatives.
Responsibilities
Required Skills
- Strong proficiency in Python, AI/ML, MLOps, Prompt Engineering, Embeddings, and Model Orchestration
- Hands-on experience with LLMs, Agentic AI, RAG, Vector Databases, and Cloud Platforms (AWS/Azure/GCP/Databricks)
- Experience building scalable AI applications beyond notebooks.
- Strong problem-solving, presentation, and stakeholder management skills.
Good to Have
- Microsoft Copilot Studio
- Databricks Mosaic AI
- DevRev
- Cursor
- Codium
- Atlassian AI
Qualifications
Qualifications
- Bachelor's/Master's degree in Computer Science, AI/ML, or related field.
- 2–7 years of experience in Software Development, AI/ML, or GenAI Engineering.
- Proven ability to independently drive AI experiments from ideation to working demos and production-ready solutions.
At 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.
About this role
Zensar is seeking an AI Engineer to build generative and agentic AI applications at scale. You'll work with large language models like OpenAI, Claude, and Gemini, develop multi-agent systems using frameworks such as LangGraph and CrewAI, and design RAG-based solutions with vector databases. The role emphasizes moving beyond prototypes—you'll be expected to take AI concepts from ideation through production-ready deployment while experimenting with emerging standards like Model Context Protocol and agent-to-agent communication.
This position suits someone with 2–7 years of software or AI/ML experience who is comfortable working independently and thrives on variety. You'll need strong Python skills alongside expertise in prompt engineering, embeddings, model orchestration, and cloud platforms (AWS, Azure, GCP, or Databricks). Beyond technical depth, the role demands the ability to translate business needs into AI solutions and present findings clearly to both technical and non-technical stakeholders—you'll be collaborating across teams to drive innovation initiatives.
The in-office role is based in Pune and part of Zensar's broader organization of 10,000+ employees across 30+ global locations. A degree in Computer Science, AI/ML, or a related field is required, and familiarity with tools like Databricks Mosaic AI, Microsoft Copilot Studio, or Cursor is a plus.
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