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Forward Deployed Engineer in United States at Jobgether

NewJob Function: Engineering
Jobgether
United States, United States
Posted on
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Job Description

Forward Deployed Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer based in the United States.

This role operates at the intersection of software engineering, enterprise consulting, and applied AI deployment within complex real-world environments. You will work directly inside enterprise retail and partner ecosystems, embedding with technical teams to design and deliver AI-driven solutions tailored to their infrastructure and business needs. The position requires strong technical depth as well as the ability to navigate ambiguous, heterogeneous systems and turn them into production-grade integrations. You will build and deploy agentic AI systems while continuously adapting core platform capabilities to fit external environments. A key part of your impact will be acting as the bridge between enterprise customers and internal R&D teams, ensuring real-world constraints shape product evolution. This is a highly hands-on, field-facing engineering role for builders who thrive in dynamic, customer-centric environments.

Accountabilities:
  • Embed directly with enterprise retail and CPG customers to understand their technical ecosystems, data infrastructure, and operational workflows.
  • Design, build, and deploy AI and agentic solutions tailored to customer-specific environments and constraints.
  • Integrate and extend core platform capabilities into complex, often undocumented or heterogeneous enterprise systems.
  • Serve as the primary technical point of contact during implementation and deployment engagements.
  • Collaborate closely with internal R&D teams to surface product gaps, share field insights, and influence platform development.
  • Partner with solution architects to translate customer requirements into scalable, production-ready technical solutions.
  • Troubleshoot and resolve integration challenges across APIs, legacy systems, and enterprise data pipelines.
  • Facilitate technical discussions with customer stakeholders while maintaining hands-on engineering ownership.
Requirements:
  • 10+ years of software engineering experience with a strong track record of delivering production-grade systems.
  • Extensive experience building with LLM APIs, agent frameworks, RAG pipelines, or other applied AI systems in production.
  • Strong proficiency in Python or similar backend/scripting languages used in data-intensive environments.
  • Proven ability to integrate with complex enterprise systems, including undocumented APIs, legacy infrastructure, and inconsistent data schemas.
  • Experience working directly with external enterprise customers in a consulting, solutions engineering, or customer-facing engineering role.
  • Strong understanding of retail, e-commerce, or supply chain systems and workflows.
  • Excellent communication skills with the ability to translate technical insights into actionable recommendations for both customers and internal teams.
  • Comfort operating in ambiguous, fast-moving environments with evolving requirements and minimal structure.
  • Strong problem-solving skills and ability to balance hands-on coding with stakeholder collaboration.
  • Prior experience in embedded engineering, professional services, or early-stage startup environments is highly valued.
Benefits:
  • Competitive base salary ranging from $169,000 to $214,000 USD depending on location
  • Annual equity grants and new hire equity incentive eligibility
  • Fully remote work flexibility across the United States
  • Comprehensive health, dental, and vision insurance coverage
  • Paid time off, holidays, and parental leave support
  • Opportunity to work on cutting-edge applied AI and agentic systems in production
  • High-impact role with direct influence on enterprise customer success and product direction
  • Collaborative, fast-paced environment bridging engineering, product, and customer strategy
  • Strong exposure to real-world enterprise AI deployment challenges at scale
  • Career growth opportunities across both technical and customer-facing leadership tracks
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location

United States, United States

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