CommerceIQ

AI platform that runs commerce

SoftwareDevelopmentEngineer

Bengaluru, Karnataka, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Software Development Engineer at CommerceIQ. Skills: backend software engineering, Java, Python, agentic AI systems, generative AI systems. Contribute to building agentic AI products and backend capabilities from the ground up. Design and deliver backend features with guidance from senior engineers, while taking ownership of well-scoped components end to end”

Industry & Context.

AI platform that runs commerce
Problems you'll solve

Ability to break down well-scoped problems

What They're Looking For.

Must Have

1 to 3 years of professional backend software engineering experience, fundamentals in Java or Python, with experience shipping production backend services, Exposure to or curiosity about agentic or generative AI systems, with eagerness to build in this space, Ability to break down well-scoped problems and drive them to completion with support from senior engineers, Good product sense and willingness to collaborate closely with cross-functional partners, Comfort working in an early-stage or evolving environment where priorities can change quickly

Nice to Have

Familiarity with technologies such as Postgres, Databricks, and AWS, or comparable stacks

What You'll Do.

Contribute to building agentic AI products and backend capabilities from the ground up

Design and deliver backend features with guidance from senior engineers

while taking ownership of well-scoped components end to end

Translate technical specs into clean

scalable backend services and APIs

Help implement the core architecture of a new product alongside the team

well-tested code and contribute to technical documentation

How You'll Work.

Team & Collaboration

Work with cross-functional partners across engineering, product, and go-to-market teams to understand requirements and integrate with the broader CommerceIQ platform; collaborate closely with cross-functional partners; Participate in code reviews

Process & Methodology

Ability to break down well-scoped problems and drive them to completion

Full Job Description

The Company CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg' s. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO. @CommerceIQ, you will : 1) Contribute to building agentic AI products and backend capabilities from the ground up 2) Design and deliver backend features with guidance from senior engineers, while taking ownership of well-scoped components end to end 3) Translate technical specs into clean, scalable backend services and APIs 4) Help implement the core architecture of a new product alongside the team 5) Work with cross-functional partners across engineering, product, and go-to-market teams to understand requirements and integrate with the broader CommerceIQ platform 6) Write clean, well-tested code and contribute to technical documentation 7) Participate in code reviews and grow into the engineering standards we set as a team What you will need: 1) 1 to 3 years of professional backend software engineering experience 2) Strong fundamentals in Java or Python, with experience shipping production backend services 3) Exposure to or strong curiosity about agentic or generative AI systems, with eagerness to build in this space 4) Familiarity with technologies such as Postgres, Databricks, and AWS, or comparable stacks 5) Ability to break down well-scoped problems and drive them to completion with support from senior engineers 6) Good product sense and willingness to collaborate closely with cross-functional partners 7) Comfort working in an early-stage or evolving environment where priorities can change quickly We are an equal opp

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