Forward Deployed Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Forward Deployed Engineer Austin, Texas, United States; Remote; Reston, Virginia, United States Why Seekr At Seekr, we're building a platform that helps enterprises harness agentic AI in the real world - responsibly, transparently, and at scale. Our FDEs don't just deploy solutions; they shape how AI gets adopted across entire industries. Forward Deployed Engineers (FDEs) work alongside our clients, embedding with their teams to tackle their hardest technical and operational problems. You won't just design solutions - you'll deploy AI systems in production, applying large language models, fine-tuning, and agentic workflows to unlock real business value. With SeekrFlow, our platform for trustworthy, document-grounded, agentic AI, you'll transform how organizations leverage their data - building solutions that are explainable, scalable, and production-ready. As an FDE, you'll be on the front lines of AI adoption, shaping how enterprises bring advanced AI into their most critical missions. Core Responsibilities As an FDE, your work will directly shape our clients' missions and create real-world impact. Operating in small, dynamic teams, you'll take full ownership of high-impact projects from start to finish, including: - Operationalizing AI PoCs by transforming demos and prototypes into robust, production-grade AI systems. - Designing and deploying data pipelines and retrieval frameworks that prepare enterprise data for LLM training, fine-tuning, and RAG-based applications. - Fine-tuning, evaluating, and deploying large language models and agentic workflows, ensuring outputs remain grounded, explainable, and compliant. - Integrating SeekrFlow AI agents with customer environments, containerizing and orchestrating them across cloud, hybrid, and on-prem deployments (AWS, Azure,

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