Responsibilities

AI & ML Engineering

Develop, deploy, and optimize machine learning and deep learning models. Build AI solutions for NLP, computer vision, predictive analytics, and intelligent automation. Integrate AI services into enterprise applications and internal platforms.

Generative AI

Develop LLM-based applications, AI copilots, and RAG solutions. Implement prompt engineering, model evaluation, embeddings, and semantic search. Optimize model performance, scalability, and cost.

Agentic AI

Design and deploy autonomous and multi-agent AI systems. Develop agent orchestration, planning, reasoning, memory, and tool integration. Implement human-in-the-loop approvals and enterprise workflow automation.

AI Operations (MLOps / LLMOps / Agent Ops)

Build CI/CD pipelines for AI models and agents. Monitor AI systems for performance, drift, hallucinations, security, and reliability. Manage model versioning, deployment, observability, and lifecycle operations.

AI Governance & Responsible AI

Implement AI governance, model risk management, and Responsible AI practices. Maintain model documentation, validation, audit readiness, and compliance. Ensure fairness, traceability, maintainability, privacy, and regulatory adherence.

Agent Governance & Security

Govern AI agent lifecycle, identity, access, and runtime controls. Implement guardrails, audit logging, and secure integration with enterprise systems. Protect AI solutions against prompt injection, data leakage, and adversarial attacks.

Collaboration

Work with business, engineering, security, and architecture teams to deliver AI solutions. Mentor team members and promote AI engineering standards and best practice

Technical Skills

AI & Machine Learning

Machine Learning, Deep Learning, NLP, Computer Vision Predictive Analytics, Feature Engineering, Model Optimization

Generative AI

Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering Embeddings and Semantic Search Fine-tuning Foundation Models

Agentic AI

Autonomous and Multi-Agent Systems Agent Orchestration Planning and Reasoning Memory Management Tool Calling Human-in-the-Loop (HITL) Model Context Protocol (MCP)

Frameworks & Libraries

PyTorch Tensor Flow Scikit-learn Hugging Face Lang Chain Lang Graph Llama Index Auto Gen Crew AISemantic Kernel

Cloud & Infrastructure

Microsoft Azure AI Foundry Azure Machine Learning AWS Bedrock Amazon Sage Maker Google Vertex AIDocker Kubernetes Terraform

Data & Integration

SQLPostgre SQLMongo DBApache Spark Vector Databases REST APIsFast API

AI Operations

MLflow Kubeflow Azure ML Pipelines Git Hub Actions Azure Dev Ops

AI Monitoring & Observability