Senior AI Engineer at CommerceIQ

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

198000.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, Software Engineering, Java, Python, Machine Learning, LLM Integration, Cloud-Native Architectures, Microservices, Event-Driven Systems, CI/CD Pipelines, Data Pipelines, MLOps, Problem-Solving, Communication Skills, Startup Mindset, Collaboration

Industry

Software Development

Description

Company Overview CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. 10 out of the top 12 CPG brands work with us, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. We’ve raised over $200M from some of the top investors including SoftBank, Insight Partners, and Madrona. Learn more at commerceiq.ai. The Role: We’re looking for a hands-on Software Engineer with an AI focus to join a new team we are incubating at our Mountain View, CA headquarters. In this founding engineer role, 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. Why this role matters 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. Location / Travel: This is an onsite role based out of our Mountain View, CA headquarters. You will be expected to work onsite 5 days per week if hired. What You'll Do: 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. What You'll Bring: 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. Compensation and Benefits: The typical base pay range for this role in Mountain View, CA is: $176,000 - $198,000/per year. This role also qualifies for an annual bonus and initial equity package in the form of stock options. The indicated base pay range may be inclusive of multiple career levels at CommerceIQ and will be narrowed based on a number of factors including the candidate’s experience, qualifications, and location. Base salary, bonus, and equity are just one part of your total rewards package at CommerceIQ. You will also receive access to: Comprehensive medical, vision, and dental coverage A 401(k)-retirement plan Short & long-term disability insurance Life insurance Paid parental leave Monthly reimbursements for gym, phone, and internet 10+ paid company holidays in each calendar year, quarterly Global Recharge Fridays, and unlimited PTO Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

Responsibilities

Design, build, and ship AI-powered commerce solutions while collaborating with cross-functional teams. Own end-to-end delivery of features, ensuring they meet business requirements and user needs.