Role overview
Santa Clara, CA
Job ID
What we're looking for
- 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
What We’re Looking For**
- 1-3+ 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
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Experience working in AI-first or fast-moving product teams
Please note this role is categorized as hybrid in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zone. Zones are determined by location. Zone A is SF Bay Area, CA .
Zone A Base annual salary base range: $120,750 to $161,000 + discretionary annual bonus up to `10% + preIPO equity (stock options).
Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting May 1st, 2025, employees residing near Santa Clara, CA return to the office 3X per week.
Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status.
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.
*#LI-Hybrid