Akkodis is seeking a ML/AI Engineer for an FTE role with a growing and well funded startup in the San Francisco/Bay Area.

ML/AI Engineer

Location: San Francisco Bay Area (Preferred) / Remote OK w/ occasional travel to SFO

Type: Full-Time, Senior-Level

Salary range: 200-250K+

About the company: developing a state-of-the-art AI platform that handles significant amounts of data. They are rethinking how product design integrates with adaptive AI systems — This is not just another AI tool—it’s a market disruptor, and a decision intelligence partner. And building out their security team is an essential part to the success of the company as i'm sure you can imagine!

This product helps companies:

Predict the optimal balance of human vs digital labor.
Simulate outcomes before committing real resources.
Deploy scalable solutions via integrated platforms and recruitment infrastructure.

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at mia.harpster@akkodisgroup.com

About the Role

We’re looking for a senior AI/ML Engineer to join a fast-moving, evaluation-first team focused on building cutting-edge AI agents that learn from user behavior and interact with internal tools via microservice-based workflows.

You’ll work directly with the Head of Orchestration, to architect agent workflows, integrate with various systems (e.g., Mulesoft), and ensure our agents are dynamic, data-driven, and production-ready. The team is driving forward a product with the core goal of learning from data to adapt and personalize experiences.

What You’ll Do

Design & Build AI agents that can dynamically reason, adapt, and integrate with various tools and APIs.
Design end-to-end ML pipelines: from ingesting and parsing data, deriving user preferences, to serving personalized results in production.
Collaborate cross-functionally with product, ML engineers, and platform/infrastructure engineers to deliver tightly integrated workflows.
Work with modern tech stacks — heavy emphasis on microservices, APIs (FastAPI, Django), Docker, and data pipelines.
Contribute to agent evaluation strategies: build quickly, evaluate quickly, and iterate based on results.
Help define best practices and reusable components for ML development and agent orchestration.
Occasionally dive into the codebase to build and ship features directly — we're a hands-on team.

Ideal Background

Experience in building recommendation systems, personalization engines, or adaptive AI products (e.g., Netflix, Spotify, Amazon-like systems).
Strong background in AI/ML workflows, with proven ability to build and deploy ML services end-to-end.
Experience with microservice architecture, particularly how agents can interface with data layers, external APIs, and orchestration layers.
Familiarity with agent-based architectures, tool integrations, and workflow automation.
Knowledge of FastAPI or Django, Docker, and how to stand up REST APIs and services that scale.
Comfortable working in evaluation-driven, fast-paced startup environments.
You’ve built internal tools or cookie-cutter templates for rapid ML/API development.
Familiarity with RAG systems and retrieval-augmented workflows is a plus.
Attendance at AI/ML conferences or participation in AI engineering communities is a strong signal.

Who You Are

You’ve likely been an ML Engineer, AI Engineer, or Software Architect working in recommendation, personalization, or agent systems.
You're not afraid to code, even if you’re also doing architectural work.
You thrive in ambiguous environments and love turning abstract product vision into technical implementation.
Bonus: You’ve worked in or around startups and understand the value of build fast, evaluate fast.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance

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