GenAI engineer (CE58SF RM 3567)

Position: GenAI engineer (CE58SF RM 3567)

Shift timing : IST (with MT overlap)
Education Required: Bachelor’s / Masters / PhD: Bachelor’s

Must have skills:
Generative AI & LLMs
Python & ML Libraries
RAG & Vector Databases
Agentic AI Workflows
Data Pipelines (Ingestion, Preprocessing, etc.)
Model Evaluation & A/B Testing
Red-teaming & Vulnerability Assessment
Cloud Platforms (Azure, AWS, GCP)
APIs, Microservices, & Containerization
Data Governance & Security
Orchestration Libraries (e.g., LangGraph, Crew AI)

Good to have skills:
Fine-tuning & Parameter-efficient Tuning
Multimodal Models & Retrieval

Job description:

• Architect, develop, test, and deploy generative-AI solutions (online/offline LLMs, SLMs, TLMs) for domain-specific use cases.
• Design and implement agentic AI workflows and orchestration using frameworks such as LangGraph, Crew AI, or equivalent.
• Integrate enterprise knowledge bases and external data sources via vector databases and Retrieval-Augmented Generation (RAG).
• Build and productionize ingestion, preprocessing, indexing, and retrieval pipelines for structured and unstructured data (text, tables, documents, images).
• Implement fine-tuning, prompt engineering, evaluation metrics, A/B testing, and iterative model improvement cycles.
• Conduct/model red-teaming and vulnerability assessments of LLMs and chat systems using tools like Garak
  (Generative AI Red-teaming & Assessment Kit).
• Collaborate with MLOps/platform teams to containerize, monitor, version, and scale models (CI/CD, model registry, observability).
• Ensure model safety, bias mitigation, access controls, and data privacy compliance in deployed solutions.
• Translate business requirements into technical designs with clear performance, cost, and safety constraints.

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