Jr. AI Engineer - INTL - India

We are seeking an AI Engineer with 0-2 years of experience to support the development of AI-powered applications, enterprise chatbots, and automation solutions within AWS. This role will focus on Retrieval-Augmented Generation (RAG), agent-based workflows, LLM integrations, and business process automation. The ideal candidate has a strong foundation in software engineering, cloud technologies, and modern AI application development.

Responsibilities * Design, develop, and maintain AI applications using AWS services such as Amazon Bedrock, Lambda, API Gateway, S3, DynamoDB, CloudWatch, and Step Functions. * Build enterprise chatbots and assistants using RAG over internal documents, knowledge bases, and business data. * Develop prompt workflows, tool-calling patterns, and simple agentic flows for task execution. * Integrate AI applications with internal systems, databases, REST APIs, and third-party platforms. * Support ingestion, chunking, embedding, retrieval, and grounding pipelines for knowledgebased assistants. * Build backend services and orchestration logic using Python and/or Node.js. * Implement automation workflows for repetitive operational tasks, using AI where it adds value and standard automation where it is more appropriate. * Participate in prompt tuning, response evaluation, testing, debugging, and performance improvement. * Implement logging, retries, error handling, and monitoring for deployed solutions. * Collaborate with business stakeholders, architects, and developers to convert use cases into working AI solutions.

• 0 to 1+ years of experience in software engineering, backend development, AI engineering, or a related role.
• Hands-on experience with AWS cloud services, especially services used in modern AI application development.
• Good understanding of LLM-based applications, prompt engineering, and chatbot design.
• Working knowledge of Node.js or TypeScript is a plus.
• Experience integrating with REST APIs, JSON payloads, authentication flows, and databases.
• Familiarity with Git, CI/CD, and software development best practices.
• Experience with Amazon Bedrock for chatbot or GenAI use cases.
• Experience with LangChain, LangGraph, CrewAI, or similar orchestration frameworks.
• Exposure to multi-agent or agentic patterns.
• Experience with vector databases or search platforms such as OpenSearch, Pinecone, FAISS, or similar.
• Familiarity with serverless design patterns.
• Exposure to cloud security, IAM, and monitoring fundamentals.
• Experience automating business processes or internal workflows.