Member of Technical Staff, Fireworks AI
EMEA
Generative AI platform enabling rapid scaling for developers and businesses
Be an early applicant
Generative AI platform enabling rapid scaling for developers and businesses
101-200 employees
Be an early applicant
101-200 employees
Company mission
To help every organization unleash the full power of artificial intelligence.
Role
Who you are
- You are first and foremost an excellent software engineer; that is what we are testing for
- You prefer building product to being customer-facing, and that is exactly right for this role, though you are welcome to join customer work when it interests you
- Treat this as a flexible role: a bucket for exceptional builders at different levels of experience rather than a fixed job spec. There is no specific seniority requirement; anywhere from 3 to 10 years of experience can fit
- What we value most is first principles thinking: reasoning about unfamiliar problems from the ground up rather than from playbooks
- You will be evaluated on this directly in the interview process, and strength here can outweigh gaps elsewhere in your background
- First principles and critical thinking: the ability to break down novel problems and reason to a solution without a reference implementation. This is the primary interview signal and can outweigh other qualifications
- Excellent software engineering: depth in backend systems and infrastructure, and a track record of shipping production systems you owned
- Strong coding skills in Python and at least one systems language
- Fluent in AI-assisted and agentic engineering: uses coding agents and AI tooling as a core part of how you build, and knows when to trust the output and when not to
- Genuine interest in inference and AI infrastructure
What the job involves
- As a Member of Technical Staff on the EMEA field team, you build on top of one of the largest inference platforms in the world
- The work spans the stack: capabilities on top of inference and serving, tooling around fine-tuning and post-training of LLMs, and the product our region’s customers need that the core platform team will not take on
- Build: Design and ship product capabilities end to end, from ambiguous need to running in production
- Build on Inference: Create capabilities on top of the serving stack: routing, model controls, observability, and whatever a deployment turns out to need
- Build on Training: Ship tooling around fine-tuning and post-training of LLMs, from data pipelines to evaluation, working alongside our applied ML engineers
- Own Regional Capability: Turn EMEA-specific requirements into product, working with core platform where the line is unclear
- Engineering Quality: Set the engineering bar for the regional team; your code is the reference
- Agentic Development: Use coding agents and AI tooling as a core part of how you build, with judgment about when to trust the output
- Optional Customer Work: Join deployments or customer conversations when useful or interesting; never required
Salary benchmarks
Our take
Whilst the development of generative AI is thought to be the reserve of large companies like Open AI, smaller startups such as Firework AI are making this technology easier to access and develop for smaller companies wanting to handle specific business needs using AI. As an open-source model API, it has one of the largest user bases - with over 12,000 users leveraging Fireworks AI’s software.
Though lacking the brand name recognition of generative AI developers like Google and Meta, Fireworks AI differentiates itself in a market crowded with large competitors through its unique approach to deploying its software. It creates smaller, production-grade, customizable generative AI models that can be launched privately and securely, rather than the non-private and inflexible models built by larger companies.
After its 2025 Series C round of $250M, Fireworks AI has been valued at over $4B, an impressive sum for a David in a sea of Goliaths. The company plans to use its funding to reshape AI infrastructure as well as expand globally. It will be interesting to see how the company evolves with its potentially disruptive business approach to generative AI.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2025
$230m
SERIES C
Jul 2024
$52m
SERIES B
Total funding: $307m
Company HQ
Redwood City, CA
Leadership
Lin Qiao
(Co-Founder & CEO)Previously a Senior Director of Engineering at Meta, a Tech Lead at Linkedin, a Research Staff Member at IBM Almaden Research Center and an Advisory Software Engineer at IBM Silicon Valley Lab.
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