Software Engineer, AI Platform

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Satori Analytics

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Satori Analytics is a data and AI transformation partner focused on bringing clarity to decision-making through advanced analytics, data management, and AI solutions. They specialize in embedding and adopting AI, generative AI, workflow automation, business intelligence, and data governance across various industries. Satori Analytics partners with leading technology vendors and has deep expertise in verticals such as Retail, Financial Services, Consumer Packaged Goods, and Energy. They prioritize delivering high, sustainable business value and return on investment to their clients through custom solutions and flexible partnering services. With a strong track record and a client repeat rate of over 90%, Satori Analytics is dedicated to excellence and innovation in data and AI solutions.

📋 Description

• Build and maintain the services, data models, and APIs that power the platform — designed for correctness, testability, and scale. • Work on the systems that coordinate complex, multi-step interactions between AI agents and external systems, improving their reliability and throughput. • Design systems that grade agent outputs, combining deterministic checks with model-assisted judgment — and make scoring reliable, explainable, and reproducible. • Build pipelines that generate, transform, and quality-check large volumes of structured data and benchmark content. • Add the tests, instrumentation, and safeguards needed to trust outputs from systems that are inherently non-deterministic.

🎯 Requirements

• 4+ years building and shipping production software, with strong proficiency in Python. • Deep software engineering fundamentals: system and API design, data modeling, concurrency/async, testing strategy, debugging, and code review. You can own a non-trivial service end-to-end. • Experience designing and operating distributed or service-oriented systems (queues, workers, APIs) — not just calling them. • Comfort designing schemas and working with relational databases, plus the migrations and performance concerns that come with them. • Working knowledge of LLM APIs — orchestration, structured outputs, and handling non-determinism. We expect you to use LLMs effectively, but this is not a prompt-engineering role. • Ability to reason about correctness of probabilistic systems: how to test, measure, and trust outputs that aren't byte-for-byte deterministic. • High quality bar: you write tests, types, and docs by default, and you keep changes small and reviewable. • **Bonus points for:** • - Experience building agentic or multi-agent systems, tool-use, or orchestration frameworks. • - Background in evaluation / benchmarking of ML or LLM systems (rubrics, golden datasets, model-as-judge, inter-rater reliability). • - Experience with distributed task queues and async workloads. • - Modern Python tooling and typed codebases (e.g. type checkers, linters, Pydantic, FastAPI). • - Retrieval / search experience and working with data ingest pipelines. • - Some comfort with the infra side (Docker, CI/CD) so you can ship what you build.

🏖️ Benefits

• Competitive salary. • Training budget to level up your skills from top tech partners like Microsoft, AWS, Salesforce, and Databricks – whether it’s certifications or courses, we’ve got you covered. • Private insurance, top-tier tech gear, and the chance to work with a stellar crew.