Hiring: Senior Software Engineer - ML Services Company: AI Fund Location: Mountain View, CA Job Posted Time: 2026-09-16 13:58:30 Employment Type: Full-time / On-site Target Skills & Keywords : AI, AWS, Azure, Cloud Native, Docker, GCP, Kubernetes, LLM, Machine Learning, PyTorch, R, vLLM About the job Experience: •5+ years of experience in software development, with a strong backend and ML engineering background. Required Skills: •Be a driving force for the team's agentic coding practice - establishing patterns for spec-driven development, context engineering, and multi-agent orchestration that compound team output. •Design, develop, and maintain AI-powered applications and services, focusing on high availability, performance, and reliability. •Work closely with Machine Learning Engineers, building AI capabilities from early R&D prototyping to scalable operation in multiple production stacks. •Build ML services designed for low-latency or high-throughput, and optimized for high cost efficiency. •Lead cross-functional initiatives, collaborating with Machine Learning Engineers, Product Managers, and other teams to align technical solutions with business needs. •Drive innovation by making strategic technical decisions, setting best practices, and mentoring engineers to elevate the team’s technical bar. •Improve ML development process by enhancing the internal ML platform, facilitating data sourcing, and enabling ML observability for deployed services. •Fluency with agentic coding tools (Claude Code, Codex or equivalent). Experience writing effective specs, managing repo context, and reviewing/verifying agent output. Qualifications: •Stock Awards – We want you to share in our success with equity grants. •Comprehensive Healthcare – Medical, dental, and vision coverage for you and your dependents.* •Wellness Stipend – Support for your health and well-being, whether it’s fitness programs or self-care.* •Lifelong Learning – An education stipend to help you grow and keep learning. •At our Mountain View HQ, with the expectation to work from the office on a daily basis. As we are a global team, the position also requires flexibility to collaborate across international time zones. Compensation: •$190,000 - $220,000 / year •Flexible work environment (work from home / hybrid options) •Stock Awards – We want you to share in our success with equity grants Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!