Principal Software Engineer - Generative AI and Agent Platforms

Infosys; Bengaluru; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Infosys seeks a Principal Software Engineer – Generative AI & Agentic Platforms in Bengaluru. You will lead a hands-on team delivering commercial software products, driving architecture decisions and ensuring robust delivery.

You will mentor senior engineers, shape solution design, deploy AI components, and champion responsible AI, security, and cross-functional collaboration to meet strategic business goals.

Qualifications

• 7+ years of hands-on software engineering delivering commercial software products.
• 5+ years of experience working with big data—querying, analyzing, and managing large scale datasets.
• Experience leading senior engineers in an Agile environment and mentoring teams.

Responsibilities

• Lead and mentor senior software engineers in an Agile environment.
• Contribute to solution design and architectural discussions ensuring alignment with enterprise standards.
• Design, develop, and deploy modern software components, tools, and AI applications.
• Promote engineering best practices and effective collaboration.

Skills

Leadership

Big data

Frontend frameworks

Cloud platforms

LLM frameworks

RAG techniques

Prompt engineering

Responsible AI

Mentorship

Financial services domain

Tools

LangChain/LangGraph

OpenAI

AWS Bedrock/SageMaker

Hugging Face

Vector databases

Job description

Principal Software Engineer – Generative AI & Agentic Platforms

7+ years of hands-on software engineering experience delivering commercial software products.

• Demonstrated ability to lead, influence, and mentor senior software engineers.
• 5+ years of experience working with big data—querying, analyzing, and managing large scale datasets.
• Proficiency in multiple programming languages, including at least one modern front end framework (Angular, React, or Vue), and languages such as Python, Java, JavaScript, Ruby, Go, C/C++.
• Strong cloud experience with AWS, Azure, or GCP, including handling sensitive and regulated data.
• Hands on experience with LLM frameworks and services (e.g., OpenAI, AWS Bedrock/SageMaker, Hugging Face, LangChain/LangGraph).
• Deep understanding of RAG techniques, embedding models, and vector databases.
• Familiarity with LLM deployment, prompt engineering, fine tuning, evaluation, and guardrail techniques.
• Strong understanding of responsible AI, privacy, and security considerations for production AI systems.
• Good to have experience in financial services, supporting consumer banking, wealth management, trading, compliance, or portfolio platforms.

Act as a hands on technical leader within an Agile environment, promoting engineering best practices and effective collaboration.

• Contribute thought leadership to solution design and architectural discussions, ensuring alignment with enterprise architecture standards.
• Design, develop, and implement modern, architecturally sound software components, tools, and applications to support strategic business objectives.
• Serve as a peer leader and mentor, fostering a culture of innovation, accountability, and technical excellence.