AI Engineer – GenAI / Agentic Development
US client via staffing partner · San Francisco, CA
- Location
- San Francisco, CA · 2 days/week onsite
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
Python · TypeScript · React · AI/ML · Generative AI · AI coding assistants · Agentic development workflows · Microservices · Full-stack development · Responsible AI · Agile/Scrum · Jira · Confluence · Cloud-based AI platforms · AI agents
About the role
Job Title: AI Engineer – GenAI / Agentic Development Job Location: San Francisco, CA (Hybrid –2 days/week onsite) Duration: 12+ Months Overview We are looking for an experienced AI Engineer to build and deliver production-grade AI/ML and Generative AI solutions. The ideal candidate combines strong software engineering fundamentals with hands-on experience developing AI applications, leveraging AI coding assistants, and implementing modern agentic development workflows. This role requires someone who can work across Python and TypeScript/React, navigate multiple codebases and technology stacks, and independently drive technical solutions from concept through production. Key Responsibilities * Design, develop, and deploy production-grade AI/ML and Generative AI applications. * Own AI engineering initiatives end-to-end, from technical design through implementation, testing, deployment, and optimization. * Leverage AI coding assistants and agentic development workflows to improve engineering productivity and accelerate development. * Develop full-stack applications using Python, TypeScript, and React. * Integrate emerging AI [contact hidden] and agentic capabilities into existing engineering workflows and applications. * Design and implement scalable solutions using microservice architecture and modern software design patterns. * Evaluate technical trade-offs and recommend appropriate architectures for AI-enabled applications. * Work across different codebases, technology stacks, and AI platforms while maintaining development efficiency and quality. * Collaborate with engineering, product, and other technical stakeholders to translate business requirements into scalable AI solutions. * Mentor engineers and contribute to technical decisions, coding standards, and engineering best practices. * Demonstrate strong ownership, prioritization, and execution of delegated technical tasks. * Apply responsible AI principles related to bias, safety, reliability, and ethical AI development. * Participate in Agile development practices and utilize tools such as Jira and Confluence. * Communicate complex AI/ML concepts clearly to both technical and non-technical audiences. Required Qualifications * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Information Technology, or equivalent practical experience. * 5+ years of software engineering experience, including at least 2+ years focused on AI/ML or Generative AI applications. * Demonstrated experience delivering production AI systems with end-to-end ownership. * Expert-level experience with AI coding assistants and agentic development workflows. * Strong hands-on full-stack development experience with: * Python * TypeScript * React * Experience designing and developing microservices and understanding architectural patterns and trade-offs. * Ability to efficiently context-switch between different codebases, technology stacks, and AI platforms. * Strong communication and collaboration skills. * Ability to independently prioritize and execute technical assignments. * Leadership mindset with experience mentoring engineers and influencing technical decisions. * Experience working in Agile/Scrum environments with tools such as Jira and Confluence. * Understanding of Responsible AI, including AI safety, bias, and ethical considerations. Preferred Qualifications * Experience working in the Retail industry. * Hands-on experience integrating emerging GenAI [contact hidden] into existing enterprise applications. * Experience building or integrating AI agents and agentic workflows. * Experience working with modern cloud-based AI platforms and services. * Experience leading technical initiatives across multiple engineering teams.
Recruiter contact
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