Principal Software Engineer – Generative AI & Agentic Platforms

Infosys; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Infosys in Bengaluru seeks a hands-on technical leader with 7+ years of software engineering experience to guide teams delivering commercial software products. You’ll mentor senior engineers, drive architectural discussions, and champion engineering best practices in an Agile environment while designing modern components aligned with enterprise standards.

Experience with cloud, big data, and AI/ML tooling is highly valued, along with strong collaboration with cross-functional teams to meet

Qualifications

• 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.
• 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.
• Good to have experience in financial services, supporting consumer banking, wealth management, trading, compliance, or portfolio platforms

Responsibilities

• 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.

Skills

Leadership

Big data

Programming languages

Front-end frameworks

Cloud platforms

LLM frameworks

RAG techniques

Embedding models

Vector databases

Prompt engineering

Fine tuning

Evaluation

Guardrails

Responsible AI

Agile leadership

Architecture design

Solution design

Mentoring

Job description

• 7+ yearsof hands-on software engineering experience delivering commercial software products.
• Demonstrated ability tolead, influence, and mentorsenior software engineers.
• 5+ yearsof 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 asPython, Java, JavaScript, Ruby, Go, C/C++.
• Strong cloud experience withAWS, Azure, or GCP, including handling sensitive and regulated data.
• Hands on experience withLLM frameworks and services(e.g., OpenAI, AWS Bedrock/SageMaker, Hugging Face, LangChain/LangGraph).
• Deep understanding ofRAG techniques, embedding models, and vector databases.
• Familiarity withLLM deployment, prompt engineering, fine tuning, evaluation, and guardrail techniques.
• Strong understanding ofresponsible AI, privacy, and security considerations for production AI systems.
• 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.

Good to have experience infinancial services, supporting consumer banking, wealth management, trading, compliance, or portfolio platforms