AI SDLC Engineer

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