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 solid 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.)

📌 Senior Artificial Intelligence Engineer (Bengaluru)
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