AI/ML, Agentic AI_5+ Years_ Chennai, Bangalore, Pune

3 weeks ago

Bengaluru, India Innova ESI Full time

1.Budget for AI Engineer – 18-22 LPA

Budget LPA

Shift Timing – Hybrid, General Shift

Location – Chennai, Bangalore, Pune

Total experience – 5Years in AI/ML Engineer.

Relevant Experience in 2 years in agentic AI development.

Strong proficiency in Python, LangChain, LLM orchestration frameworks, NoSQL, and GraphDB.

Hands-on experience with knowledge graph modeling, SPARQL, and semantic reasoning.

Familiarity with MCP protocols, tool-augmented agents, and retrieval-augmented generation (RAG).

Understanding of LLM fine-tuning, prompt engineering, and multi-turn dialogue systems.

Position: Permanent Role: AI Developer Experience: 5 Years Location: Chennai / Bangalore / Pune Shift Timing: General Shift

About the Role

We are seeking an experienced AI Engineer with proven expertise in developing AI Agents and implementing Agentic AI capabilities. The ideal candidate will also have deep knowledge in designing and managing Knowledge Graphs (KG) using GraphDB, enabling intelligent reasoning, contextual awareness, and semantic data enrichment in enterprise-grade AI systems.

Key Responsibilities


•

Design and develop autonomous AI agents using agentic design patterns (e.g., reflection, reasoning, tool-use, collaboration).


•

Implement multi-agent systems capable of task delegation, planning, and decision-making.


•

Build and maintain Knowledge Graphs using GraphDB to support semantic search, contextual reasoning, and data enrichment.


•

Integrate AI agents with external tools, APIs, and databases to enable dynamic workflows.


•

Collaborate with data scientists, domain SMEs, and architects to define ontology models, entity relationships, and graph schemas.


•

Optimize agent performance through feedback loops, RLHF, and context-aware protocols (e.g., MCP).


•

Ensure scalability, security, and compliance of AI systems across cloud and hybrid environments.


•

Document technical designs, workflows, and best practices for stakeholders.

Required Skills & Experience


•

5+ years of experience in AI/ML engineering, with at least 2 years in agentic AI development.


•

Strong proficiency in Python, LangChain, LLM orchestration frameworks, NoSQL, and GraphDB.


•

Hands-on experience with knowledge graph modeling, SPARQL, and semantic reasoning.


•

Familiarity with MCP protocols, tool-augmented agents, and retrieval-augmented generation (RAG).


•

Understanding of LLM fine-tuning, prompt engineering, and multi-turn dialogue systems.

Pay Range & Compensation Package

Competitive salary based on experience and qualifications.

Equal Opportunity Statement

We are an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We encourage applications from all qualified individuals regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law.

Qualifications


• Bachelor's degree in computer science, Information Technology, or a related field

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