Sr. Software Engineer

Job Description

Skill Set

• AI/ML Engineering

• Total Experience :

• 7.00 to 10.00 Years

• No of Openings :

• 1

• Job Post Date :

• 10/07/2026

• Job Expiry Date :

• 08/08/2026

• Domain :

• IT

• Location :

• BENGALURU [India]

• Job Reference No :

• 4095548

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• Job Summary

• Scope of Work

• • Build AI agents and multi agent systems using frameworks with LangGraph and LangChain tools.

• • Develop and tune prompt engineering workflows across multiple LLMs (GPT, Claude, LLaMA), balancing reliability, cost, and latency.

• • Develop REST APIs, WebSocket services, and event driven pipelines for real time AI services that remain stable under load.

• • Automate testing and releases through Jenkins CI/CD, and maintain code and documentation standards using Git, Jira, and Confluence.

• • Deployment of AI Application in enterprise adhering to best practices

• • Use AI augmented development tools such as Claude Code and Codex to accelerate delivery.

• • Coordinate with platform, security, and product teams to deliver scalable, secure deployments.

• Must Have Skills

• • 3 5 years in Machine Learning, AI, or a related field, with production systems delivered.

• • At least 1 year building custom Agentic AI applications

• • Strong Python skills and sound modern development practices.

• • Hands on experience with LLMs and prompt engineering across the full application lifecycle.

• • Demonstrated experience building AI agents with LangGraph.

• • Familiarity with at least one enterprise cloud AI platform for building and deploying agentic applications, such as Azure AI Foundry, AWS Bedrock, or Google Gemini Enterprise, including cloud native deployment practices.

• • Working knowledge of REST APIs, WebSockets, and event driven systems.

• • Proficiency with CI/CD tooling (Jenkins) and version control (Git).

• • Fluency with AI augmented development tools for rapid prototyping.

• • Strong written and verbal communication, an analytical approach to problem solving, and the ability to work independently within a cross functional team.

• • Data layer curations and integration with source system for agentic application

• Good to Have Skills

• • Familiarity with Databricks.

• • Exposure to MLOps/LLMOps workflows and application monitoring.

• • Knowledge of enterprise security, compliance, and governance for AI systems.

• • Familiarity with code and model lifecycle management practices.

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