Forward Deployed AI Engineer

About the role

As a Forward Deployed AI Engineer (FDAE) at Celigo, you will be at the heart of our customers' agentic transformations. Embedded directly within Enterprise customer environments, you will drive rapid, measurable adoption of Celigo’s AI capabilities — including AI Studio, agentic workflows, and MCP server orchestration — by identifying high-value business processes ripe for automation and personally building production-grade solutions.

Responsibilities

• Conduct workshops and strategy sessions with executive teams, present findings, and translate them into design documentation and project plans.
• Utilize Celigo’s AI capabilities, including AI Studio, agentic workflows, and MCP server orchestration.
• Coordinate with customer data teams to understand data quality and agentic transformation requirements.
• Design intelligent prompts and develop AI agents and solutions that drive real value for customers.
• Set up and maintain MCP servers for scalable integration runtime environments.
• Design and manage APIs, including defining endpoints, authentication, versioning, and governance best practices.
• Co-build alongside customers and partners, sharing best practices and enablement as you go.
• Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not weeks.
• Perform end-to-end testing and validation of agentic solutions.
• Ensure best practices in performance, security, and governance.
• Provide go-live support, ongoing support, advisory services, and knowledge transfer to customers.
• Educate customers on the use of Celigo platform’s agentic capabilities.
• Mentor junior developers and contribute to solution design reviews.

Requirements

Skills & Abilities

• Strong problem-solving skills with the ability to troubleshoot complex agentic issues.
• Excellent verbal and written communication skills across business, technical, and executive audiences.
• Client-facing professionalism with the ability to lead discussions, training, and advisory sessions.
• Self-starter with strong ownership, attention to detail, and ability to work independently.
• Ability to manage multiple priorities in a fast-paced, client-driven environment.
• Demonstrated business acumen and sound decision-making skills.
• Drive to self-learn and showcase emerging technologies, including AI and automation, to elevate the practice.

Technical Skills

• Strong experience with prompt engineering, using frontier LLM models, API integration, and management to solve business problems.
• Strong understanding of API lifecycle management, versioning, security, and governance.
• Experience integrating ERP systems (NetSuite, Acumatica, Microsoft Dynamics, SAP, etc.).
• Hands-on experience with cloud/SaaS platforms (Salesforce, Shopify, Amazon, etc.).
• Data transformation expertise (JSON, XML, CSV, EDI, mapping, normalization).
• Understanding of middleware and iPaaS architecture patterns.
• Experience integrating and operationalizing AI/LLM services.
• Familiarity with agentic architectures and orchestration concepts (e.g., Celigo agentic services, MCP servers).
• Understanding of technologies such as Node.js, web services (SOAP/REST), and data transport formats (JSON, XML, EDI, flat files).
• Familiarity with enterprise applications (NetSuite, Salesforce, Amazon, Google, Shopify, HubSpot, etc.).
• Strong database fundamentals (SQL, data modeling, querying).
• Knowledge of legacy integration methods (FTP, ACH, fixed-width files, EDI) is a plus.

Education & Experience

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field is preferred.
• 7+ years of total experience, ideally with 4+ years of experience in management/technical consulting with direct client engagement.
• 3+ years of experience with AI development (frontier models, agentic services, MCP servers) with at least one production agent you can walk through.
• Proven ability to design and deliver scalable, production-grade integration solutions.
• Experience across the full delivery lifecycle (requirements through post-go-live support).

Benefits

• Remote-first culture, built on trust, collaboration, and transparency.
• Three weeks of vacation (starting year one).
• Wellness days and holidays to recharge.
• Parental leave and a generous benefits package.
• Monthly tech stipend.
• Recognition and career development opportunities.
• High-growth, inclusive work environment where innovation thrives and ideas are implemented.
• Lightspeed learning opportunities to keep you at the leading edge of your field.
• Exceptional coworkers who challenge and inspire you daily.

Pay

Celigo reasonably expects to pay a base salary between $145,000 and $160,000 per year for this position. Actual starting base pay will be determined by skills, experience, geographic location, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, benefits, or other perks as outlined in any formal employment offer made.