LLM Engineer

Must-Have Skills:Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) to write and refactor code, automate workflows, and optimize engineering processes.Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI.Grounding in NLP and machine learning as they relate to building LLM systemsStrong experience working with key LLM models APIs (e.g. OpenAI, Anthropic)Experience building, deploying, and securing MCP servers at scale.Understanding of multi-agent systems and their applications in complex problem-solving scenarios.Designing and implementing RAG systems end to end: vector databases, semantic search, retrieval quality, and chunking strategy.Experience with prompt writing for various use casesExperience with generative solutions released to prod, at scale, beyond POCsProficiency with server-side events, event-driven architectures, and messaging systems.Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems, not just solving isolated problems.Solid understanding of security best practices for backend systems, including authentication and data protection. Other Qualifications:2+ years of experience developing and experimenting with LLMs8+ years of experience developing APIs with PythonNice-to-Have Skills:Experience with LLM guardrailsExperience with LLM Frameworks (e.g. LangChain, LlamaIndex)Experience with LLM monitoring and observabilityExperience developing AI/ML technologies within large and business critical applicationsBuilding evaluation into LLM systems: eval harnesses, regression suites, LLM-as-judge, and offline/online quality metrics.Recruiter's Email : shikharsharma@thriveitsystems.com