Senior Fullstack AI Engineer

Software Engineer • 6–8 years of software engineering experience with strong hands-on development experience in modern application engineering. • Strong experience with Node.js / TypeScript; this is the non-negotiable primary language requirement for the role. • Strong experience building backend/platform-oriented full-stack solutions, including APIs, services, databases, cloud deployment, and operational support. • Strong AWS experience is required. Candidates should have hands-on experience with services such as API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, CDK, and Fargate. Bedrock is required. • Experience with infrastructure as code (IaC) is required, ideally with strong hands-on use of AWS CDK. CDK is explicitly required for this role. • At least 1 year of hands-on experience building Generative AI solutions, ideally in RAG/search-based AI, chatbot/copilot experiences, or enterprise knowledge assistants. RAG/chatbot experience is sufficient for this hire • Practical understanding of prompt engineering and how prompt design impacts grounding, reliability, usability, and output quality. • Working knowledge of retrieval and generation concepts such as embeddings, chunking, semantic retrieval, vector search, top-k, top-p, and related controls that influence response behavior and quality. • Basic hands-on familiarity with guardrails / safety controls / output validation, including awareness of risks like hallucinations, prompt injection, jailbreak attempts, and content-safety concerns. • Experience building and shipping enterprise-grade APIs/services that connect AI capabilities into real business workflows. • Strong software engineering fundamentals including testing, debugging, source control, and CI/CD. • Strong collaboration and communication skills; we need a collaborative, high-output builder who works well with product, engineering, QA, architecture, security, and business stakeholders.