Agentic AI Developer

Capco; Chennai District, Bengaluru, Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Capco, a Wipro company, is expanding its GenAI-focused engineering team in Bangalore, looking for engineers with 6–10 years of experience to build scalable Python applications and AI-driven platforms.

You will design and deploy AI-powered solutions, work with LLMs and foundation models, and collaborate across product, data science, and frontend teams in a fast-paced environment.

Qualifications

• Develop scalable Python applications focused on GenAI.
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings.
• Proficient in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).
• Design, develop, and fine-tune applications around foundation models (LLMs, multimodal models).
• Implement generative AI techniques including RAG and prompt engineering.
• Lead intelligent autonomous agents and multi-agent systems.
• Utilize agentic AI frameworks like LangChain, AutoGen, Semantic Kernel, Crew AI.
• Develop MCP solutions to standardize data access for AI apps.
• Lead full-stack development with AI and agentic systems.

Responsibilities

• Develop scalable Python applications focused on GenAI.
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings.
• Proficient in SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Design, develop, and fine-tune apps around foundation models (LLMs).
• Implement generative AI techniques including RAG and prompts.
• Lead intelligent agents and multi-agent systems.
• Work with LangChain, AutoGen, Semantic Kernel to build agents.
• Develop MCP-based data access standards for AI apps.
• Lead full-stack AI-enabled applications and APIs.

Skills

Python

GenAI development

Tools

PostgreSQL

MySQL

MongoDB

React

Angular

Vue.js

JavaScript

TypeScript

HTML

CSS

Flask

Django

FastAPI

Node.js

Go

AWS

Azure

GCP

Job description

About Us

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications

Preferred skills

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross‑functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non‑technical team members, ensuring alignment and understanding across all project phases.