Requirements

• 4+ years building production software; 2+ years applied ML/LLM work shipping user-facing features
,
• Hands-on experience with RAG (vector stores, embeddings, chunking), prompt engineering, and LLM orchestration (e.g., LangChain/LlamaIndex or custom)
,
• Proficiency in Java or a similar JVM language; strong Python skills and familiarity with AI/ML frameworks are a plus
,
• Experience developing and deploying AI-powered applications, including integrating with LLM APIs
,
• Knowledge of cloud-native architectures (AWS/GCP/Azure), microservices, event-driven systems, and CI/CD pipelines
,
• Strong problem-solving and communication skills, with the ability to work effectively across time zones
,
• Startup mindset; comfortable working in a fast-moving environment and wearing multiple hats
,
• Expertise with data pipelines (batch/stream), feature stores, and MLOps (experiment tracking, model registry, CI/CD) on a major cloud
,
• Bachelor's degree, preferably in Computer Science, Mathematics, or a related field

What the job involves

• We’re looking for a hands-on Senior AI Engineer to join a new team we are incubating at our Mountain View, CA headquarters. In this founding role, you’ll build and own actual product features from end to end, not just AI models
,
• Additionally, you’ll work closely with product managers, data scientists, and other engineers in both the U.S. and India to design, build, and ship the next generation of AI-powered commerce solutions, including Ally and OCC
,
• Impact from day one: Join a small, high-impact U.S. team working on CommerceIQ’s newest AI-driven offerings
,
• Hands-on AI development: Build and deploy real AI tools, not just consume pre-built services
,
• Global exposure: Collaborate with a talented, distributed engineering organization serving the world’s largest brands
,
• Build retrieval & agentic systems: design RAG pipelines over brand, retail, and media data; add tools/plans; manage long-running jobs and guardrails
,
• Train/fine-tune models: supervise fine-tunes & LoRA; evaluate with robust offline metrics and online A/Bs; reduce hallucinations with policy & eval gates
,
• Design & build features: Develop scalable backend services (Java preferred; Python also welcome) and contribute to full-stack features, collaborating with cross-functional teams to bring AI-powered capabilities to market
,
• Work with AI at the code level: Write code that integrates and deploys AI models (including large-language-model APIs), focusing on building tools that deliver real-time insights to users
,
• Collaborate globally: Partner daily with our Bangalore-based engineering team to align on architecture, code quality, and delivery
,
• Drive technical quality: Contribute to design discussions, code reviews, and best-practice adoption for performance, security, and maintainability
,
• Own end-to-end delivery: Take features from design through deployment, ensuring they meet business requirements and user needs
,
• Create leverage: use AI coding tools judiciously, document playbooks, up-level the broader engineering org on LLM best practices

• Learning & Development - Growth is important. That’s why we provide a dedicated learning budget to support your growth and development
,
• Competitive Pay - Come join our team and you’ll receive a generous benefit package that takes care of your family and you, including Medical, Vision, and Dental insurance, a 401K and more
,
• Equity - At CommerceIQ, you’ll have skin in the game with our equity awards. When we win, you win
,
• Unlimited PTO - We believe in creating an environment that helps you be your absolute best, whether it means taking a break to climb Mt. Rainier or pampering yourself on a cruise
,
• Work/Life Balance - Every last Friday of the month is off! We know there is a time to work and there is a time to leave work behind. At CommerceIQ, we offer flexible hours