AES-AI Engineer
Zensar Technologies (company site, opens in a new tab)2–7 yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build end-to-end GenAI applications, including AI agents, multi-agent systems, and RAG solutions using LLMs and modern AI frameworks.
- Drive AI experiments from ideation through PoCs, evaluation, and production-ready solutions; fine-tune models and create synthetic data where needed.
- Translate business requirements into AI solutions and present demos and outcomes to technical and non-technical stakeholders.
Minimum Requirements
- Work Experience Required: 2–7 years in software development, AI/ML, or GenAI engineering.
- Bachelor’s or master’s degree in Computer Science, AI/ML, or a related field.
- Strong proficiency in Python, AI/ML, MLOps, prompt engineering, embeddings, and model orchestration; hands-on experience with LLMs, agentic AI, RAG, and vector databases.
- Experience with AWS, Azure, GCP, or Databricks, and building scalable AI applications beyond notebooks.
Ideal Candidate Profile
- Has practical experience building and deploying LLM-powered applications, rather than only experimenting in notebooks.
- Can work across agent frameworks, retrieval systems, and cloud platforms to prototype and evaluate solutions for real use cases.
- Can independently take AI experiments toward working demos or production-ready solutions and explain results to business and technical stakeholders.