AI Engineer

About the CompanyWe are working with a US start-up that is building AI-driven workflow automation to transform financial operations. They are looking for software engineers with strong foundations in production systems and a focus on applied AI. You will build product functionality directly and write production-grade code that brings advanced AI workflows into real-world use.Full-time roles are available with remote, hybrid, or on-site flexibility depending on preference and seniority. The office is in the Bay Area.Candidates must be based in the US, there will be very occasional travel to the Bay Area.Key Responsibilities:Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systemsIntegrate model training, evaluation, deployment, and monitoring into product workflowsDeploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics toolsOperationalise LLMs and AI agents, including prompt orchestration, chaining, and fine-tuningBenchmark models, develop evaluation frameworks, and improve reliability and auditabilityImplement observability, monitoring, and rollback mechanisms for secure, scalable deploymentsWork across the stack, from backend systems to product SDKs to deliver AI features into user-facing applicationsPrototype rapidly, gather feedback, and iterate while maintaining scalability and maintainabilityOwn critical product components and deliver robust, production-grade featuresCollaborate with data scientists, product managers, and engineers to solve real customer problemsDebug complex issues and perform root cause analysis across pipelines, infrastructure, and product layersQualificationsBS or MS in Computer Science, Statistics, Mathematics, or equivalent experienceStrong software engineering background with experience shipping production systems3+ years of experience in ML/DL pipelines, deployment, and applied AI solutionsProficiency in Python or Go, with frameworks such as TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPCExperience with LLM and AI frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API)Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systemsExperience building and scaling backend platforms, APIs, and microservicesComfortable working full-stack, from model APIs to user-facing integrationsProven experience shipping AI features used in productionStrong attention to detail, reliability, and usabilitySelf-starter with a high level of ownershipRegular user of AI developer tools (e.g. Cursor, Claude Code, Copilot)Bonus PointsProduction experience with LLMs at scale (APIs or custom implementations)Experience building agentic systems or LLM-powered productsFamiliarity with prompt tuning methodologies (e.g. self-prompting, DSPy, Banks)Experience with performance optimisation and large-scale document indexing systemsPrior startup experience and ability to thrive in fast-paced environmentsFamiliarity with databases and writing SQL queriesPerksCompetitive compensation ($140 - $170K)BonusEquityUnlimited PTOAccess to AI assistants for work (coding and general-purpose tools)