Live opening · Posted 7 hours ago

AI SDLC Engineer

Infosys · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyInfosys
LocationIndia (Remote)
Work modeYes
SkillsPython, Java, Azure
SourceLinkedin
ListedPosted 7 hours ago

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About the role

Description supplied by the original job listing.

Description:
We are looking for a Senior AI Engineer to design, build, and operate production-grade AI applications. In this role, you will develop backend services and APIs that integrate large language models into business workflows, with a strong focus on reliability, safety, observability, and maintainability.
This is an engineering-first role for someone with strong software engineering fundamentals and hands-on experience delivering LLM-powered systems to production. You should be comfortable owning services end to end, adapting them as models and requirements evolve, and helping teams adopt effective AI engineering practices
Relevant Experience
5+ Years
Mandatory skills
• Strong Python and backend engineering skills for building production-grade services and APIs
• Proven experience developing and shipping LLM-powered applications in production
• Strong understanding of prompt engineering, structured outputs, context management, and tool calling
• Experience integrating foundation models and LLM platforms such as Azure OpenAI, OpenAI, or Bedrock
• Strong experience in API design, testing, deployment discipline, observability, evaluation, and failure handling
• Solid practical understanding of AI safety, reliability, and evaluation, including guardrails, fallback patterns, and output validation
• A pragmatic approach to solving messy real-world problems with clean, maintainable systems
• Curious, delivery-focused, and comfortable working in a fast-moving technical landscape
Nice to have
Desired skills
• Experience designing and operating LLM systems with orchestration frameworks such as LangChain, MCP, RAG, Graph databases
• Familiarity with platform engineering practices such as Infrastructure as Code and performance testing for production APIs
• Experience working with Java or Kotlin
• Ability to prototype and experiment quickly using tools such as streamlit and Jupyter notebooks
• Background in applied NLP tasks such as classification or PII detection
Domain (Industry)
Retail- E Commerce
Total Experience (Ex. 5-7 Years)
8 Years to 12 Years

Work arrangement
Yes

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