Senior Software Engineer- Applied AI

Who We Are Datassential is a leading global intelligence platform for the food and beverage industry. Leveraging billions of data points and cutting-edge AI, we provide a suite of innovative solutions that empower more than 90% of the world's largest food and beverage brands to develop, market, and sell their products more effectively. Based in Chicago, USA, Datassential has expanded its global reach through strategic acquisitions of CHD Expert (France) in 2022 and Brizo Data, Inc. (Canada) in 2025. In 2024, we secured investment from top-tier private equity firms New Mountain Capital and Endicott Capital—a milestone that fuels our accelerated product roadmap and strengthens our research and development, enabling us to deliver even greater value to our clients. Our remote-first, globally distributed team thrives on diverse perspectives and deep expertise in the food and beverage space. Food brings people together—and at Datassential's table, there's room for everyone. What We Need As a Senior Engineer, you'll be the technical heartbeat of our most strategic customer relationships. You won't just hand customers documentation and wish them luck—you'll embed yourself in their workflows, understand their data and automation needs at a deep level, and architect the integrations that unlock the full power of Datassential's platform. This role is equal parts engineer and trusted advisor. You'll work side by side with food manufacturers, distributors, operators, and enterprise accounts to design, build, and optimize integrations that connect Datassential's intelligence into their existing tools and AI-powered product ecosystems. When a customer's workflow changes, you evolve with them. You'll also serve as a critical feedback loop between customers and Datassential's product and engineering teams—surfacing patterns, gaps, and opportunities that shape the future of our platform. Who You Are You are a technically exceptional, customer-obsessed engineer who sits at the intersection of product and partnership. You bring:

• Strong proficiency in Python and JavaScript/TypeScript software languages.
• Hands-on experience building and consuming REST APIs, webhooks, and streaming data interfaces.
• Experience with Applied AI, MCP (Model Context Protocol) and/or A2A (Agent-to-Agent) integration patterns.
• Experience designing integration architectures across heterogeneous enterprise environments (CRMs, ERPs, data warehouses, AI platforms)
• Comfort working with JSON, data transformation, authentication protocols (OAuth 2.0, API keys, JWT), and cloud infrastructure
• Ability to write scripts, lightweight automation, and configuration tooling that customers can maintain themselves
• Genuine passion for customer success—you feel ownership over whether integrations actually work, not just whether they were set up
• Ability to communicate complex technical concepts clearly to both engineering teams and non-technical business stakeholders
• Strong project management instincts: you can juggle multiple customer engagements simultaneously without dropping the ball
• A consultative mindset—you ask good questions, listen carefully, and design solutions around real customer needs rather than assumptions
• Comfort presenting technical architectures and leading discovery conversations at the VP and C-suite level when needed

What You Will Do

• Partner with enterprise customers during onboarding and beyond to understand their technical environments, data workflows, and automation goals
• Design and implement end-to-end integration solutions using Datassential's MCP, A2A, and REST API infrastructure
• Help customers connect Datassential's F&B intelligence into their internal platforms, CRMs, data pipelines, AI agents, and enterprise tools
• Write clean, well-documented integration code, scripts, and configuration resources to accelerate customer time-to-value
• Lead technical discovery sessions, integration workshops, and architecture reviews with customer engineering and data teams
• Proactively identify integration bottlenecks and performance issues—and fix them before customers notice
• Develop reusable integration templates, playbooks, and guides that help scale deployment across the customer base
• Collaborate closely with Datassential's Product and Engineering teams to translate customer needs into platform improvements
• Act as a technical escalation point for complex integration issues, working through solutions end-to-end with customers
• Track customer integration health, usage patterns, and expansion opportunities alongside the Account Management team
• Travel to customer sites as needed to lead onboarding sessions, integration workshops, and execut

Apply tot his job Apply To this Job