AI Builder
InMarket is a leader in consumer intelligence and real-time activation for brands, leveraging a data-driven marketing platform. The AI Builder role focuses on designing and building internal software that utilizes AI to simplify and automate workflows across the organization, collaborating with various departments to create effective solutions.
Responsibilities
- Own the end-to-end lifecycle of internal tools, from initial design and rapid prototyping to launch, iteration, and transition to steady-state ownership
- Design and build scalable, AI-enabled systems and services that automate repetitive tasks and optimize complex workflows
- Modernize technical debt by converting ad-hoc scripts and notebook-driven processes into robust, maintainable production software
- Harden and validate solutions in development environments to ensure they meet rigorous standards for reliability, security, and scalability
- Embed with internal teams to identify friction points and translate business requirements into technical designs that reduce operational risk
- Partner with Product, Data, and Engineering to ensure all internal solutions align with the broader company roadmap and architectural standards
- Manage stakeholders by setting clear expectations, communicating progress, and facilitating feedback loops to drive continuous improvement
- Drive adoption through the creation of lightweight training materials and hands-on enablement for new system implementations
- Standardize documentation including system architectures, operational playbooks, and handoff plans to ensure long-term stability and ease of use
Skills
- Proven expertise using AI-native IDEs (e.g., Cursor, Windsurf, Claude Code) and LLMs to accelerate development and automate complex workflows
- Deep familiarity with RESTful APIs, Git, CI/CD pipelines, and Agile methodologies
- Ability to translate exploratory work from JupyterLab or ad-hoc scripts into maintainable, production-ready software
- Solid understanding of SQL/NoSQL databases, data modeling, and structured data management
- Ability to design for cloud environments while maintaining a strong foundation in software engineering principles
- Skill in evaluating where AI provides genuine leverage versus where traditional software solutions are more appropriate
- A 'progress over perfection' mindset, with the ability to identify patterns, evaluate trade-offs, and prioritize high-impact solutions
- Comfortable navigating messy, real-world business processes and technical challenges in a fast-paced environment
- Strong troubleshooting skills with the ability to reason through complex system failures
- Exceptional communication skills, with the ability to explain technical concepts to non-technical stakeholders clearly
- Experience working in fast-moving teams where iterative feedback and flexibility are key to success
- Degree in Computer Science, Engineering, or equivalent practical experience
- Experience building internal platforms or operational tooling
- Experience in Node.js, with a track record of building internal tools, services, and robust automations
- Experience in Python and SQL; comfortable building tools, services and automations
- Familiarity with workflow orchestration, job scheduling, or data pipelines
- Exposure to containerization (Docker) and cloud-native tooling
- Prior experience working directly with operations or business teams
Company Overview
Company H1B Sponsorship