Senior Software Engineer- Applied AI

Role Description

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.
• Serve as a critical feedback loop between customers and Datassential's product and engineering teams.

Qualifications

• 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.

Requirements

• 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 executive reviews.

Benefits

• Competitive salary plus eligibility for a performance-linked annual bonus plan.
• Affordable Medical, Dental, and Vision Insurance, including a no cost employee-only plan.
• Paid parental leave.
• 401K with dollar-for-dollar company match up to 5%.
• Unlimited PTO, recharge days, and Christmas through New Year break.
• 100% business travel reimbursement.
• Wellness Reimbursement or HQ Gym access.
• Remote stipend for 100% remote roles.