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Principal Software Engineer - Generative AI & Agentic Platforms

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Onsite

Principal Software Engineer - Generative AI & Agentic Platforms

Infosys

Principal Software Engineer - Generative AI & Agentic Platforms

Skills

MicroservicesAIAWSCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

26 August 2026

What they need


Educational Requirements

Bachelor of Engineering,Master Of Engineering

Service Line

Strategic Technology Group

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.

Additional Responsibilities

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

Technical and Professional Requirements

  • 7+ yearsof hands-on software engineering experience delivering commercial software products. Demonstrated ability tolead, influence, and mentorsenior software enginee+ yearsof experience working with big dataquerying, 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 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.

Preferred Skills

  • Technology->Microservices->Microservices API Management
  • Technology->Enterprise Architecture->API / Microservices Architecture
  • Technology->AI-Generative AI->Conversational AI Platform
  • Technology->AI-AI Hyperscalers->AWS Agentic AI Services
  • Foundational ->Soft Skill->Problem solving
  • Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)
  • Technology->AI-AI Engineering->LLMOps

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