Applied AI Engineer

We are partnering with a pioneering technology company that is at the forefront of designing and deploying cutting-edge AI solutions, transforming how businesses leverage large language models and intelligent agents. The Role Design, build, evaluate, and productionize LLM-powered agents and AI workflows using AWS-native platforms. Implement and leverage Amazon Bedrock capabilities, including Bedrock Agents, Knowledge Bases, and various foundation models. Develop agentic workflows incorporating RAG, tool/function calling, APIs, and enterprise data sources. Integrate AI agents with enterprise applications and data using AWS services such as Lambda, Step Functions, SQS/SNS, and API Gateway. Build and maintain robust LLM evaluation suites and implement prompt/context engineering for reliable production behavior. Collaborate directly with business users to rapidly iterate on solutions and deliver production-ready functionality. What You'll Need 8+ years of software engineering experience, with at least 2.5+ years building production LLM applications. Strong programming skills in Python and/or TypeScript, coupled with strong API engineering experience. Hands-on experience with prompt engineering, context engineering, and LLM evaluation approaches (golden datasets, LLM-as-a-judge). Practical experience with AWS, ideally including Amazon Bedrock, or strong experience with OpenAI/Anthropic APIs combined with AWS. Ability to work full Pacific Time (PST/PDT) business hours. Strong information-retrieval/RAG experience, including chunking, embeddings, hybrid search, and re-ranking. What's On Offer Opportunity to work on innovative, production-focused AI systems rather than just prototypes. Engage with advanced AWS technologies, including Amazon Bedrock, to solve complex business challenges. Contribute to a collaborative environment focused on reliable, observable, and measurable AI applications. Apply via Haystack today! Show more Show less