Staff SW Engineer

Qualifications

• Basic Qualifications:
• 5+ years of relevant work experience with a bachelor’s degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
• Preferred Qualifications:
• 6+ years of backend software development experience with Java and Spring Boot.
• Experience in software engineering or a directly related field.
• Experience in developing and/or implementing web-based or mobile applications.
• Experience in a leadership role with or without direct reports.
• Experience in technologies/software systems or a directly related field.
• Experience in creating and maintaining test plans and executing testing procedures.
• Experience in debugging and troubleshooting software issues.
• Experience in collaborating with cross-functional teams to deliver technical solutions.
• Experience in code review and applying coding standards.
• Experience in building or enhancing developer tools.
• 2+ years of backend experience with Python (FastAPI, Flask, or similar frameworks).
• Production-level experience in building and deploying AI Agentic solutions, including orchestration of LLM-based agents, integration with enterprise microservices, and troubleshooting live production environments.
• Hands-on experience implementing LLM, GenAI, and RAG systems using frameworks such as LangChain, LangGraph, or Autogen.
• Strong understanding of AI orchestration and LLM integration patterns in distributed environments.
• Proven experience building and scaling distributed microservice architectures.
• Proficiency in REST/gRPC API design, event-driven architectures, and message queues (Kafka, RabbitMQ).
• Experience with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) pipelines.
• Hands-on expertise with cloud platforms (AWS, GCP, Azure).
• Familiarity with SQL and NoSQL databases (MySQL, DynamoDB, MongoDB).
• Experience with containerization and CI/CD pipelines (Docker, Kubernetes, ArgoCD, Jenkins, GitHub Actions).