Senior Agentic AI Software Engineer

Overview

Senior Agentic AI Software Engineer to develop financial technology solutions using agentic protocols and frontier LLM capabilities. You’ll build and test agents and AI-powered internal tools, improve full-stack components across the SDLC, and mentor other engineers.

What you'll do

• Develop agents using AI development tools and APIs intended for agent use.
• Build and extend agentic protocols to apply to frontier LLM use cases.
• Own solutions end-to-end, ensuring they are well tested before deploying to multiple environments.
• Translate requirements into technical designs and application code, including UI/UX components.
• Create and execute unit tests, analyze code for defects, and remediate known errors.
• Run automation test scripts, track defects through their lifecycle, and improve quality and efficiency.
• Provide technical on-call triage and remediation for production incidents.

What you'll need

• 5–8 years of experience in a related field including full stack SDLC, frontend/backend development, and UI/UX engineering.
• Bachelor’s degree in Computer Science or a related field (or equivalent relevant work experience).
• Experience with Python, full stack development, and agile methodology.
• Experience with AWS, telemetry, and GitHub.
• Exposure to OpenAI and Gemini.
• Experience using tools such as GitHub Copilot.

Nice to have

• 8+ years of experience in a related field across full stack SDLC, frontend/backend, and UI/UX engineering.
• 6+ years building production backend services.
• 3+ years building public-facing frontend interfaces.
• 3+ years in AI/ML, generative AI, or agentic systems (e.g., LLM-powered applications, LangChain, LangGraph, AutoGen).

Details

• Location: Bangalore, India.
• Work environment: hybrid.