AI Engineer + Data Scientist (Bengaluru)

AI Engineer + Data Scientist (Bengaluru)

10 Sep
|
UST
|
Bengaluru

10 Sep

UST

Bengaluru

Role Description

Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at .

Job Description

Build and ship production-grade GenAI and agentic AI applications that automate enterprise workflows — from design through deployment. A hands-on individual-contributor role for a strong builder.

Key Responsibilities

Build agentic applications using LangGraph, AutoGen, CrewAI, or Semantic Kernel.
Design RAG pipelines — chunking, hybrid search, re-ranking, memory, and tool orchestration.
Deploy and monitor AI workloads on Azure (AKS/ARO) with CI/CD and observability.
Implement responsible-AI guardrails — prompt-injection defense and content filtering.
Define evaluation metrics for task success, hallucination, latency, and cost.

Must-Have Skills





5+ years ML/AI engineering with production LLM/agentic delivery.
Advanced Python and at least one agent framework (LangGraph, AutoGen, CrewAI, PydanticAI).
Solid LLM and prompt-engineering skills (GPT, Claude, LLaMA); hands-on RAG workflows.
Azure AI stack (Azure OpenAI, AI Search, AI Services) and Databricks ML (MLflow, Delta Lake).
Vector databases (FAISS, Pinecone, Chroma) and embedding/retrieval design.
Containerized deployment (Docker/Kubernetes, AKS/ARO) and REST APIs / WebSockets / event-driven services.
CI/CD and version control (Jenkins / GitHub Actions, Git) with SDLC and agile practices.
Portfolio of 3+ production AI deployments with measurable business impact.

Nice to Have

Model fine-tuning (LoRA/PEFT), multi-modal AI, and model evaluation frameworks.
LLMOps / MLOps and model monitoring (drift, latency, cost, hallucination).
Knowledge graphs (Neo4j); AWS Bedrock / GCP Vertex AI exposure.
AI-augmented dev tools (GitHub Copilot, Cl

📌 AI Engineer + Data Scientist (Bengaluru)
🏢 UST
📍 Bengaluru

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