CommerceIQ
Mountain View, California, United States
Company Overview CommerceIQ’s AI‑powered digital commerce platform is revolutionizing the way brands sell online. Our unified e‑commerce 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 top investors including SoftBank, Insight Partners, and Madrona.
Role Summary Senior AI Engineer – Mountain View, CA (Onsite, 5 days per week)
Why this role matters
Impact from day one – build end‑to‑end product features, not just AI models.
Hands‑on AI development – design, ship, and iterate real AI tools.
Global exposure – collaborate with distributed engineering teams serving the world’s largest brands.
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); contribute to full‑stack features.
Write code that integrates and deploys AI models – focus 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, and 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 & 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.
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
Short & long‑term disability insurance
Life insurance
Paid parental leave
Monthly reimbursements for gym, phone, internet, and commuting
10+ paid company holidays in each calendar year and unlimited PTO
Equal Employment Opportunity 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.
Location Mountain View, CA – onsite, 5 days per week.
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Company Overview CommerceIQ’s AI‑powered digital commerce platform is revolutionizing the way brands sell online. Our unified e‑commerce 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 top investors including SoftBank, Insight Partners, and Madrona.
Role Summary Senior AI Engineer – Mountain View, CA (Onsite, 5 days per week)
Why this role matters
Impact from day one – build end‑to‑end product features, not just AI models.
Hands‑on AI development – design, ship, and iterate real AI tools.
Global exposure – collaborate with distributed engineering teams serving the world’s largest brands.
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); contribute to full‑stack features.
Write code that integrates and deploys AI models – focus 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, and 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 & 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.
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
Short & long‑term disability insurance
Life insurance
Paid parental leave
Monthly reimbursements for gym, phone, internet, and commuting
10+ paid company holidays in each calendar year and unlimited PTO
Equal Employment Opportunity 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.
Location Mountain View, CA – onsite, 5 days per week.
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