Senior AI Engineer ( Node JS, AWS & Typescript)
Indexed description
In This Role, You Will
- Design and develop backend and platform-based solutions using Node.js, TypeScript, and Python, including APIs, services, and data layers
- Build, deploy, and optimize cloud-native applications on AWS, leveraging services such as API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, and Fargate
- Implement and manage Infrastructure as Code (IaC) using AWS CDK to enable scalable, maintainable cloud environments
- Develop and integrate Generative AI solutions (RAG, chatbot/copilot experiences) into enterprise workflows
- Ensure high-quality code through testing, debugging, CI/CD pipelines, and best engineering practices
Regardless of your working arrangement, we support a healthy work-life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may evolve depending on business and client needs.
What You Need To Have To Be Considered
- 6–8 years of software engineering experience with strong hands-on development in modern application engineering
- Mandatory (Non-negotiable): Strong expertise in Node.js, TypeScript, and Python
- Mandatory: Hands-on experience with AWS CDK and Infrastructure as Code (IaC)
- Strong AWS experience, including services such as API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, and Fargate
- Experience building backend/platform-oriented full-stack systems, including APIs, microservices, databases, and cloud deployments
- At least 1 year of hands-on experience building Generative AI solutions, such as RAG-based systems, chatbots, or enterprise AI assistants
- Practical understanding of prompt engineering and how prompt design impacts output quality and reliability
- Familiarity with retrieval and generation concepts such as embeddings, chunking, semantic search, vector search, and response tuning (top-k, top-p)
- Strong understanding of software engineering fundamentals, including testing, debugging, version control, and CI/CD
- Experience implementing guardrails, safety controls, and output validation in AI systems (e.g., handling hallucinations, prompt injection, and security risks)
- Experience delivering enterprise-grade APIs/services integrating AI capabilities into business processes
- Strong collaboration and communication skills with cross-functional teams
- Ability to work in fast-paced environments with a focus on delivery and quality
- Medical/Dental/Vision/Life Insurance.
- Paid holidays plus Paid Time Off.
- 401(k) plan and contributions.
- Long-term/Short-term Disability.
- Paid Parental Leave.
- Employee Stock Purchase Plan.
This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, or any other work authorization requiring employer sponsorship.
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