About the role
Build and ship AI-powered product features using LLMs, NLP, and agent-based workflows Develop backend services and APIs that support model inference, orchestration, and tool execution Implement LLM workflows, including pipelines, retrieval (RAG) systems, and goal-oriented agent behaviors Work closely with Product Managers and Designers to turn AI-driven ideas into working features Collaborate with ML engineers to integrate, evaluate, and productionize models Write clean, maintainable, and well-tested code Participate in code reviews and contribute to technical discussion Help improve system performance, reliability, and scalability 3-5 years of professional software engineering experience Strong experience building backend or full-stack applications Proficiency in Python and at least one other language (Java, Go, or TypeScript) Hands-on experience integrating LLMs, NLP, or ML-powered features Familiarity with APIs, distributed systems, and backend services Understanding of prompting, embeddings, and model inference Solid software engineering fundamentals (testing, debugging, system design) Product mindset with a focus on real-world impact and usability Experience with agentic systems, workflows, or orchestration frameworks Exposure to RAG Architecture Design & Evaluation Experience working in AI-first or fast-moving product teams Experience our comprehensive
benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.
About Eightfold
Eightfold is a developer of a talent intelligence platform used to help companies find, recruit, and retain workers. Its platform bridges the talent gap by using the power of Artificial Intelligence, which helps to turn talent management into a competitive advantage and enables clients to match candidates to the right roles.
Eightfold was founded in 2016 and is headquartered in Mountain View, California.
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Job details
Salary
$143,000 - $191,000
Location
Santa Clara, CA
Funding
Total raised
$410M
Last stage
Series E
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
