Senior Artificial Intelligence Engineer

JD : Job Title: Senior AI Engineer (Agentic AI & Enterprise AI Solutions)

Experience

• Total Experience: 10+ years
• Relevant AI/ML Experience: 5-6+ years
• Location: Remote

Role Overview

We are seeking a Senior AI Engineer with strong expertise in modern AI paradigms (Agentic AI, AI Agents, MCP) to lead the design, development, and scaling of enterprise-grade AI solutions.

The ideal candidate will be a hands-on practitioner capable of rapidly developing POCs, translating business problems into AI-driven solutions, and defining scalable architecture and deployment roadmaps.

Key Skills

• End-to-end AI/ML solution development and deployment
• Rapid POC development (fast experimentation and validation)
• Strong problem-to-solution translation for business use cases
• AI architecture design and scalability planning
• Performance optimization (latency, scalability, efficiency)
• Cross-functional stakeholder collaboration
• MLOps implementation and lifecycle management
• Technical leadership and mentoring

Key Technologies

• Machine Learning & Deep Learning frameworks
• LLMs & Generative AI (RAG, prompt engineering, fine-tuning)
• Agentic AI & AI Agents (multi-agent systems, orchestration)
• MCP (Model Context Protocol) & tool integration frameworks
• NLP and Conversational AI systems
• Computer Vision solutions
• AI frameworks: LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel
• Programming: Python, API development
• Cloud platforms: Azure / AWS / GCP
• Data & pipeline tools: Spark, Airflow
• Containerization: Docker, Kubernetes
• MLOps tools (MLflow, CI/CD pipelines, monitoring & observability)

Modern AI Stack:

• Agentic AI frameworks (LangGraph, AutoGen, CrewAI, etc.)
• AI Agents & Multi-agent orchestration
• MCP-based integrations and tool usage patterns
• LLM frameworks (LangChain, Semantic Kernel, etc.)