Senior Software Engineer, AI Platform
San Francisco, CA or Remote (USA)
- Remote-first
- Website
- @fieldguide š
- Search
Fieldguide
The Fieldguide AI Platform for Advisory & Audit provides an engagement automation platform for advisory and audit firms to save time, increase margins, and improve client satisfaction.About Us:
Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and ESG (Environmental, Social, Governance). Put simply, we build software for the people who enable trust between businesses.Ā
Weāre based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We're backed by top investors including Bessemer Venture Partners, 8VC, Y Combinator, Floodgate, Elad Gil, Justin Kan, Qasar Younis, Eric Ries, and more.
We value diversity ā in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguideās team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth.
As an early stage start-up employee, youāll have the opportunity to build out the future of business trust. We make audit practitionersā lives easier by eliminating up to 50% of their work and giving them better work-life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide.
About the Role:
We are looking for a seniorālevel backāend engineer who loves building rockāsolid, scalable platforms and who thrives on enabling others to ship AIāpowered features quickly and safely. You will be the technical owner of our GenAI platform ā the layer that powers ultraāhighāthroughput workflows such as ingesting hundreds of thousands of PDFs, extracting and vectorizing their content, and orchestrating agentic runtimes that call largeālanguageāmodel APIs.
You will focus on the architecture, infrastructure, and developer experience that make AI features reliable, observable, and fast.
What You'll Do:
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Design and implement serviceāoriented architectures for AI workflows, including web servers, background workers, task queues, and event streams.
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Harden and extend our Temporalābased orchestration layer; own uptime, scaling, and observability for critical agentic workflows.
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Build ingestion and retrieval pipelines that push the limits of pgvector, Pinecone, or similar vector stores.
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Create tooling and CLIs that allow any engineer to stand up, debug, and deploy new LLM-powered workflows in minutes.
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Optimize cost and performance across AWS, GCP, and other clouds as we expand our multiācloud strategy.
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Collaborate closely with ML engineers, product managers, and infra/SRE teammates to ship lovable user experiences.
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Champion engineering best practices around testing, monitoring, and secure handling of sensitive data.
About You:
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Architecting distributed, serverāside systems in production, balancing speed with longāterm maintainability.
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Programming in TypeScript/Node and/or Python, with strong fundamentals in relational databases such as Postgres.
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Building and operating message/worker queues (e.g., AWS SQS, RabbitMQ, Kafka) at scale.
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Deploying and monitoring workloads on AWS or GCP using IaC and CI/CD pipelines.
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Writing maintainable, wellātested code and leading projects involving multiple contributors.
Nice to Haves:
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Temporal or other workflow orchestration engines.
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pgvector, Pinecone, or other vector database technologies.
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Integrating with OpenAI, Anthropic, or similar LLM APIs.
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SRE or platform engineering background with a focus on reliability and observability.
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Designing zeroātoāone developer platforms or internal tooling for AI features.
Not sure if you meet 100 percent of the requirements? We encourage you to apply even if your experience doesnāt match every bullet point. Weāre looking for teammates who are eager to learn, grow with us, and bring new perspectives to the team.
More about Fieldguide:
Fieldguide is a values-based company. Our values are:
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Fearless - Inspire & break down seemingly impossible walls.
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Fast - Launch fast with excellence, iterate to perfection.
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Lovable - āāDeliver happiness & 11 star experiences.Ā
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Owners - Execute & run the business with ownership.
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Win-win - Create mutual value & earn trust for life.Ā
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Inclusive - Scale the best ideas with inclusive teams.Ā
Some of our benefits include:Ā
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Competitive compensation packages with meaningful ownership
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Flexible PTO
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401k
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Wellness benefits, including a bundle of free therapy sessions
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Technology & Work from Home reimbursement
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Flexible work schedules
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Anthropic APIs Architecture AWS CI/CD Engineering GCP Generative AI Kafka LLMs Machine Learning OpenAI Pinecone Pipelines PostgreSQL Privacy Python RabbitMQ RDBMS Testing TypeScript
Perks/benefits: 401(k) matching Career development Competitive pay Flex vacation Startup environment Wellness
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