Job Overview

The candidate will serve as a Full Stack AI Engineer with 6 to 8 years of software engineering experience, focusing on modern application development, backend/platform-oriented full-stack solutions, AWS cloud deployment, and Generative AI integration.

Requirements

• 6–8 years of software engineering experience with strong hands-on development experience in modern application engineering.
• Strong experience with Node.js and TypeScript as a 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 with hands-on experience in services such as API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, CDK, and Fargate.
• Experience with infrastructure as code (IaC), with strong hands-on use of AWS CDK.
• 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.
• 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, and 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, with the ability to work effectively with product, engineering, QA, architecture, security, and business stakeholders.