Senior Software Engineer - AI Agentic Product Dev

Eightfold • Full-time • Hybrid in Santa Clara, California, United States • 3h ago

Fast Facts

Join our team as a Senior Software Engineer focusing on AI Agentic Product Development, where you'll build innovative AI-driven features using advanced technologies.

Responsibilities: You will build and ship AI-powered product features, develop backend services and APIs, implement LLM workflows, and collaborate with various teams to ensure product success.

Skills: Strong backend or full-stack development experience, proficiency in Python and another language, experience with integrating LLMs and NLP features, understanding of APIs and distributed systems, and solid engineering fundamentals are key.

Qualifications: 3-5 years of professional software engineering experience, experience with agentic systems, and familiarity with cloud platforms such as AWS, GCP, or Azure are preferred.

Location: The position is located in Santa Clara, CA, US.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $130,000 - $180,000.

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 discussions 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 Familiarity with cloud platforms (AWS, GCP, or Azure) Experience working in AI-first or fast-moving product teams