Agentic AI Engineer (ICDS)

Bootminds; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Bootminds in Bengaluru is seeking a Senior Agentic AI Engineer (ICDS) to design, develop, and deploy autonomous AI agent systems for enterprise-scale use cases. You will lead delivery from concept to production, collaborating with product and engineering teams.

Key duties include building multi-agent architectures, implementing RAG patterns, ETL pipelines, and integrating with enterprise APIs. Strong Python/SQL, data engineering, and cloud experience are essential.

Qualifications

• Graduation with CS or Equivalent degree and production experience in AI/ML and Data Engineering.
• Strong understanding of Agentic AI, Python, SQL, Agentic Frameworks, Data Engineering, ETL/ELT.
• Proven experience designing and building agentic AI systems for enterprise use cases.
• Expertise in agentic frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or equivalent.
• Hands‑on experience building GenAI applications using OpenAI, Anthropic, Google Gemini, or open‑source LLMs (Llama, Mistral, etc.).
• Strong understanding of LLM concepts including RAG, embeddings, vector databases, and semantic search.
• Knowledge of LLM evaluation, guardrails, and AI safety best practices.
• Familiarity with Git, CI/CD pipelines, and Agile methodologies.

Responsibilities

• Architect and develop autonomous AI agents capable of executing complex business workflows with minimal human intervention.
• Design and maintain ETL/ELT pipelines that process structured and unstructured data at scale.
• Build single-agent and multi-agent systems, incorporating planning, reasoning, memory management, tool/function calling, and workflow orchestration.
• Integrate AI agents with enterprise systems, internal APIs, and third-party tools.
• Optimize AI applications for performance, scalability, latency, and cost efficiency.
• Implement agent evaluation frameworks, observability tooling, and production monitoring.
• Apply Prompt Engineering, Prompt Optimization, and Prompt Chaining to improve LLM-driven workflows.
• Implement Retrieval-Augmented Generation (RAG) patterns using semantic search, embeddings, and vector databases.
• Ensure LLM reliability through guardrails, hallucination mitigation, and AI safety best practices.
• Own the full delivery lifecycle: architect, develop, test, deploy, and maintain AI agent solutions from concept to production.
• Collaborate with stakeholders across engineering, product, and business teams within Agile delivery frameworks.

Skills

Agentic AI

Python

SQL

Data Engineering

ETL/ELT

Agentic Frameworks

Education

CS or Equivalent degree

Tools

LangGraph

LangChain

CrewAI

AutoGen

Semantic Kernel

OpenAI

Anthropic

Google Gemini

Llama

Mistral

Git

CI/CD

Job description

Agentic AI Engineer (ICDS)

We are seeking a Senior Agentic AI Developer with strong Data Engineering foundations to design, develop, and deploy autonomous AI agent systems for enterprise-scale use cases.

Key Responsibilities

• Architect and develop autonomous AI agents capable of executing complex business workflows with minimal human intervention.
• Design and maintain ETL/ELT pipelines that process structured and unstructured data at scale.
• Build single-agent and multi-agent systems, incorporating planning, reasoning, memory management, tool/function calling, and workflow orchestration.
• Integrate AI agents with enterprise systems, internal APIs, and third-party tools.
• Optimize AI applications for performance, scalability, latency, and cost efficiency.
• Implement agent evaluation frameworks, observability tooling, and production monitoring.
• Apply Prompt Engineering, Prompt Optimization, and Prompt Chaining to improve LLM-driven workflows.
• Implement Retrieval-Augmented Generation (RAG) patterns using semantic search, embeddings, and vector databases.
• Ensure LLM reliability through guardrails, hallucination mitigation, and AI safety best practices.
• Own the full delivery lifecycle: architect, develop, test, deploy, and maintain AI agent solutions from concept to production.
• Collaborate with stakeholders across engineering, product, and business teams within Agile delivery frameworks.

Requirements

• Graduation with CS or Equivalent with Production experience in AI/ML and Data Engineering.
• Strong understanding of Agentic AI, Python, SQL, Agentic Frameworks, Data Engineering, ETL/ELT.
• Proven experience designing and building agentic AI systems for enterprise use cases.
• Expertise in agentic frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or equivalent.
• Hands‑on experience building GenAI applications using OpenAI, Anthropic, Google Gemini, or open‑source LLMs (Llama, Mistral, etc.).
• Strong understanding of LLM concepts including RAG, embeddings, vector databases, and semantic search.
• Knowledge of LLM evaluation, guardrails, and AI safety best practices.
• Strong proficiency in Python and SQL.
• Solid experience designing and operating ETL/ELT pipelines for both structured and unstructured data.
• Good to have - Hands‑on experience with Databricks and/or Snowflake.
• Experience with cloud platforms: Azure, AWS, or GCP.
• Familiarity with Git, CI/CD pipelines, and Agile methodologies.
• Strong problem‑solving, communication, and stakeholder management skills.

Work Arrangements

• Location: Bengaluru, Karnataka, India.
• Work Schedule: Full‑time.
• Remote Work Arrangement: Not specified.
• Travel Requirements: Not specified.