Senior Agentic AI Engineer

Saarthee; Kolkata District; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Saarthee is seeking a Senior Agentic AI Engineer in Bangalore with 8–12 years of experience in AI/ML and data engineering. You will design, build, and deploy autonomous AI agents, RAG-based apps, and scalable ETL/ELT pipelines using Python and cloud platforms.

Responsibilities include integrating agents with enterprise apps, optimizing for performance and cost, and implementing safety guardrails and observability. Collaboration with cross-functional teams across the AI lifecycle is essential.

Qualifications

• BE/B.Tech or MSc in Computer Science or related field.
• 8–12 years of software engineering experience with strong AI/ML and Data Engineering expertise.
• Strong programming skills in Python and SQL.
• Hands-on experience with Agentic AI, LLMs, RAG, Vector Databases, and Semantic Search.
• Experience with LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel.
• Experience building GenAI applications using OpenAI, Anthropic, Gemini, or open-source LLMs.
• Strong experience in ETL/ELT, Data Engineering, and enterprise data pipelines.
• Exposure to cloud platforms (Azure, AWS, or GCP) and CI/CD practices.
• Good to have experience with Databricks or Snowflake.

Responsibilities

• Design, develop, and deploy autonomous AI agent solutions for enterprise use cases.
• Build single-agent and multi-agent systems using modern Agentic AI frameworks.
• Develop RAG applications using vector databases, embeddings, and semantic search.
• Design and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Integrate AI agents with enterprise applications, APIs, and third-party services.
• Optimize AI applications for scalability, performance, reliability, and cost.
• Implement prompt engineering, guardrails, observability, and AI safety best practices.
• Collaborate with cross-functional teams throughout the AI solution lifecycle.

Skills

Python

SQL

Agentic AI

LLMs

RAG

Vector Databases

Semantic Search

ETL/ELT pipelines

CI/CD

Cloud platforms

Education

BE/B.Tech or MSc in Computer Science or related field

Tools

LangGraph

LangChain

CrewAI

AutoGen

Semantic Kernel

Databricks

Snowflake

Job description

About Saarthee

Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are an onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.

Position Details

Position: Senior Agentic AI Engineer

Location: Bangalore

Work Mode: Hybrid

Min-Max Experience: 8-12 Years

Position Summary

We are looking for a Senior Agentic AI Engineer with strong expertise in Agentic AI, Large Language Models (LLMs), and Data Engineering. The ideal candidate should have hands‑on experience building autonomous AI agents, RAG‑based applications, ETL/ELT pipelines, and scalable AI solutions using Python and cloud platforms.

Your Role: Responsibilities and Duties

• Design, develop, and deploy autonomous AI agent solutions for enterprise use cases.
• Build single-agent and multi-agent systems using modern Agentic AI frameworks.
• Develop RAG applications using vector databases, embeddings, and semantic search.
• Design and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Integrate AI agents with enterprise applications, APIs, and third-party services.
• Optimize AI applications for scalability, performance, reliability, and cost.
• Implement prompt engineering, guardrails, observability, and AI safety best practices.
• Collaborate with cross-functional teams throughout the AI solution lifecycle.

Required Skills and Qualifications

• BE/B.Tech or Master’s degree in Computer Science or related field.
• 8–12 years of software engineering experience with strong AI/ML and Data Engineering expertise.
• Strong programming skills in Python and SQL.
• Hands‑on experience with Agentic AI, LLMs, RAG, Vector Databases, and Semantic Search.
• Experience with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel.
• Experience building GenAI applications using OpenAI, Anthropic, Gemini, or open-source LLMs.
• Strong experience in ETL/ELT, Data Engineering, and enterprise data pipelines.
• Exposure to cloud platforms (Azure, AWS, or GCP) and CI/CD practices.
• Good to have experience with Databricks or Snowflake.
• Strong analytical, communication, and stakeholder management skills.