AI Engineer San Francisco, CA

AI Engineer

Full Time • San Francisco, CA
Benefits:
  • 401(k)
  • Bonus based on performance
  • Training & development
Role:- AI Engineer
Key Responsibilities
  • Apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or RAG workflows under guidance from senior engineers. 
  • Design, develop, and maintain high quality UI and backend services and applications that support AI driven products and platforms. 
  • Implement and integrate RESTful APIs with a focus on security, scalability, and maintainability. 
  • Collaborate with cross functional teams (engineering, AI/ML, product, and platform) to deliver end to end features. 
  • Write clean, testable code and participate in code reviews to maintain high engineering standards. 
  • Assist in troubleshooting, debugging, and resolving production issues. 
  • Learn and follow best practices for cloud native development, reliability, and observability. 
  • Stay current with emerging trends in AI, machine learning, and software engineering. 
  • Provide post-production support

Required Qualifications (Non Negotiable)
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 
  • 2+ years of experience in software engineering, User Interface, backend development, JavaScript, Angular
  • Proficiency in Python, Java, or Go. 
  • Translating user experience design into code using Angular, Angular Material, NodeJS, strong fundamental knowledge of Object-oriented JavaScript, SASS, CSS3
  • Knowledge of advanced JavaScript and browser optimizations
  • Experience with Spring Framework or Spring Boot a plus
  • Basic understanding of distributed systems, APIs, and backend service design. 
  • Experience working with relational (SQL) and/or NoSQL databases. 
  • Familiarity with software development best practices: version control, testing, and code reviews. 

Preferred / Nice To Have Skills
  • Exposure to AI/ML concepts, including machine learning pipelines or LLM based systems. 
  • Familiarity with embeddings, vector databases, or retrieval augmented generation (RAG). 
  • Experience deploying services in cloud environments (AWS, Azure, or GCP). 
  • Interest in agentic AI, automation, or developer productivity tooling
Compensation: $80,000.00 - $90,000.00 per year




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