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
• Robust 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

📌 AI SDLC Engineer (Hyderabad)
🏢 Kairos Technologies
📍 Hyderabad