Senior Software Engineer, AI

What You’ll Do

• Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration.
• Implement and integrate LLM-based experiences using frameworks like LangChain, LlamaIndex, and tools like OpenAI, Claude, or Gemini.
• Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed.
• Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue — with a focus on usability, performance, and trust in AI outputs.
• Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily "drop in" GenAI capabilities into their own applications.
• Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).
• Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).
• Ensure security, privacy, observability, and test coverage across the full stack.
• Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.
• Partner with platform and infrastructure teams to ensure services scale reliably across the org.

What You’ll Bring

• 5–8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.
• 5+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.
• Strong Python development skills and 2+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.
• Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.
• Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
• Familiarity with secure coding, authentication/authorization, and internal data governance best practices.
• Ability to collaborate across engineering, design, and product teams — with a strong sense of user empathy and technical ownership.
• Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.