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# Jr. AI Engineer - INTL - India

- **Company:** Insight Global
- **Location:** King of Prussia, PA, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, Cloud Computing, Cloud Computing Security, Encodings, Databases, Continuous Integration, Software Debugging, Software Design Patterns, Amazon DynamoDB, Identity and Access Management, JSON, Python (Programming Language), Node.Js, Cloud Services, Software Engineering, Systems Integration, TypeScript, Software Organization, Data Logging, Pinecone, Chatbots, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, State Machines, Generative AI, Backend, Agentic-AI, Git, Kubernetes, Amazon Bedrock, CrewAI, FAISS, Functional Programming, Cloudwatch, Api Gateway, Restful APIs, Serverless Computing, OpenSearch
- **Published:** October 15, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3448866433&tx=JL7973FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

## Description

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.