Senior AI/ML Engineer GenAI / LLM / Agentic AI

Role & responsibilities

Key Responsibilities

Senior AI/ML Engineer GenAI / LLM / Agentic AI

• Build AI/ML and GenAI use cases from requirements through development, production deployment and handover.
• Develop and deploy LLM, RAG and AI-agent based solutions.
• Build AI agents with tool/function calling, retrieval, failure handling and human-in-the-loop approval.
• Develop predictive ML models and support model validation, monitoring and deployment.
• Work with Python, SQL and GCP to develop scalable AI/data solutions.
• Use Vertex AI, Gemini, BigQuery, Cloud Run/GKE and other GCP services.
• Build APIs, data pipelines, ingestion and retrieval workflows.
• Implement CI/CD, automation and production deployment practices.
• Use GitHub Copilot and Cursor for AI-assisted software development.
• Develop test sets, evaluation methods and accuracy/quality thresholds for AI solutions.
• Implement AI security and governance controls including PII handling, access control, prompt-injection protection, output validation and audit trails.
• Collaborate with engineering, business, security, compliance and other cross-functional teams.
• Monitor production solutions for accuracy, latency, cost, drift and unexpected usage.
• Prepare technical documentation, runbooks, test cases and production handover documentation.

Preferred candidate profile

• Generative AI / GenAI
• LLM / Large Language Models
• Agentic AI / AI Agents
• RAG (Retrieval Augmented Generation)
• Google Cloud Platform (GCP)
• Vertex AI & Gemini
• BigQuery
• Cloud Run / GKE
• Python & SQL
• Machine Learning / Predictive Modeling
• MLOps & Model Deployment
• GitHub, GitHub Copilot & Cursor
• CI/CD & API Development
• ETL / Data Engineering
• Dataflow / Dataproc / Data Fusion
• Airflow / PySpark
• Terraform / Tekton
• PostgreSQL / Cloud SQL
• LangChain / LlamaIndex
• Vector Databases / Vector Search
• AI Governance / Responsible AI
• LLM Security / Prompt Injection
• Human-in-the-Loop AI
• Model Evaluation & Monitoring
• AI Automation
• Security, Risk & Compliance
• Experience in regulated industries such as BFSI, Insurance or Automotive