AI/ML Engineer

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Description

About the role binbash is an AWS Advanced Tier Services Partner. We build the DevOps, data and AI platforms that startups run their companies on, and our AI/ML practice ships the GenAI half of that — retrieval systems, agents, and the evaluation that decides whether either is fit to put in front of a user. You would join that practice as a senior individual contributor: hands on the systems, working alongside the pre-sales architects who scope them and the delivery engineers who run them. Not a research seat — the work is production GenAI for clients whose users notice when it is wrong. Requirements / Technical Skills Strong Python, and comfort reading and writing infrastructure as code (Terraform) Production experience with a hosted model API — Amazon Bedrock ideally, another provider otherwise Retrieval systems end to end: chunking, embeddings, a vector store (OpenSearch, pgvector or similar), and the reranking that makes results usable Agent and tool-calling architectures, orchestrated with AWS Step Functions, Amazon Bedrock AgentCore or an equivalent Model evaluation you can defend: task-level test sets, regression suites, and the judgement to say when a system is not ready Amazon SageMaker for training, tuning or hosting where a managed model is the wrong answer Excellent verbal and written communication skills (English) Enthusiasm for working in a startup environment and the ability to be cross-functional Key Responsibilities Design and ship GenAI systems on AWS — retri

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