Forward Deployed Engineer

The Role

As a Forward Deployed AI Engineer at Vultron, you'll be a hands-on AI leader working shoulder-to-shoulder with customers. You will own implementation, and deployment of end-to-end AI-powered products. Your work will go beyond prototypes—you will ship production-grade systems that help reshape how government and defense ecosystems operate.

You’ll act like a startup CTO within our customer engagements: identifying real-world problems, architecting full-stack AI solutions, and working across product, infrastructure, and operations to deliver.

What You’ll Do

• Architect, implement, and deploy LLM-based workflows that operate at production scale.

• Work closely with partners (from Fortune 500s to federal agencies) to define AI strategy and rapidly ship impactful solutions.

• Write scalable code and own deployed systems—monitor, debug, and iterate in real-world environments.

• Contribute field learnings to Vultron's core platform to inform product development and improve capability reuse.

• Plan and lead technical work across AI, MLOps, data processing, and UI integration.

• Build integrations into customer and partner ecosystems to enable seamless delivery and adoption.

Minimum Qualifications

• 6+ years of engineering experience with proficiency in Python, JavaScript/TypeScript, or similar languages.

• Deep understanding of the GenAI landscape, including experience with LLMs (e.g., RAG, prompt engineering, fine-tuning).

• Strong foundation in Machine Learning principles: training, evaluation, and system design.

• Experience building real-world applications that process and reason over large, complex datasets.

• Proficiency with front-end frameworks such as React.

• Strong systems thinking and the ability to work across infrastructure, AI, and UI layers.

• U.S. Citizen eligible for Secret security clearance.

Preferred Qualifications

• Background in Computer Science, Physics, Mathematics, or related technical field.

• Experience with physical systems, motion planning, or multi-agent autonomy.

• Familiarity with behavior trees, modeling and simulation (M&S), and safety-critical software.

• Understanding of distributed communication systems and real-time architectures.

• Experience working with or for defense or intelligence communities; familiarity with military operational concepts.