The Work: Join a Mission That Matters
Torch.AI is building the AI Control Layer for the United States Government.
Not another dashboard. Not another workflow app. Not another black-box model glued to a PowerPoint.
The AI Control Layer is foundational data and intelligence infrastructure that makes sense of messy, adversarial, multi-domain data at machine speed. Commanders, analysts, and operators can act with clarity when it matters most.
Our platform—ORCUS (data movement), NEXUS (deep semantic vectorization), and HALO (graph-native reasoning)—is accredited, deployed, and operating today across enterprise clouds and tactical edge environments. We support multi-INT fusion, predictive movement analysis, targeting workflows, anomaly detection, and decision support for cross-domain operations including ISR, information advantage, joint effects, and force protection.
We are seeking candidates who want to build systems that operate under real constraints: degraded visibility, adversarial mis/disinformation, intermittent connectivity, low-SWaP hardware, and seconds-to-decision timelines.
This is operational AI.
It ships. It runs. It gets used.
If you’re driven to strengthen U.S. defense readiness and protect national interests, Torch.AI offers meaningful impact at national scale.
What Makes Torch.AI Different
We believe the government must own its data, its decision environment, and its reasoning infrastructure.
Our AI Control Layer increases the value of existing systems of record rather than replacing them. We measure performance by accuracy, latency, and efficiency, not slideware benchmarks.
We are craftsmen.
We build with intention.
We ship with discipline.
You’ll collaborate with engineers, data experts, veterans, and mission practitioners. You’ll own meaningful work, move quickly, and see your systems deployed in production, often within weeks.
We are fast-paced, entrepreneurial, and mission-driven. Every day is a new puzzle.
The Type of Candidates Who Thrive
Torch.AI is not for everyone.
People who succeed here:
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Are builders, not curators. They ship and iterate.
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Are comfortable with messy data, unclear requirements, and real mission constraints without always having the luxury of clear specs.
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Respect operators and prioritize utility over elegance.
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Care about explainability and determinism because real decisions demand auditability.
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Move quickly but understand security boundaries and accreditation realities.
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Measure success by operational impact, not model novelty.
If you need perfect conditions and months of runway, this may not be the right place.
If you want to see your work used in production and feel the weight of that responsibility, we should talk.
Security Clearance
Some roles require an active Secret, Top Secret, or Top Secret/SCI clearance. Where required, candidates must be eligible to obtain and maintain the appropriate clearance level.
U.S. citizenship is required for all positions. Torch.AI does not sponsor employment visas.
If you do not currently hold a clearance but are eligible, sponsorship may be available depending on role and mission requirements.
Work Location
Most roles are based at our headquarters in Leawood, KS. Some hybrid/remote positions across the Arlington, VA, Washington, DC, and Maryland (DMV) region are available. Limited travel (<10%) may be required for some roles.
Compensation, Benefits, Incentives
We offer competitive, performance-aligned compensation tied to technical depth, clearance level, and mission impact.
Total Rewards Include:
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Competitive base salary
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Quarterly performance bonuses
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Equity participation within the first 12 months
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Unlimited PTO + 11 paid company holidays
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Professional development in a high-growth, mission-driven environment
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Weekly in-office catering at HQ
Benefits:
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401(k) plan (no current employer match)
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PPO, HSA, and TRICARE Supplement medical options
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Above-market HSA contributions
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HSA, FSA, and Dependent Care FSA options
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Dental and vision plans above national averages
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Employer-paid life insurance (1× salary)
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Employer-paid Short-Term and Long-Term Disability
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Voluntary Accident, Critical Illness, and Hospital Indemnity coverage
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Up to $300/month in tax-advantaged commuter benefits
Torch.AI is an Equal Opportunity / Affirmative Action Employer committed to building a team that reflects the mission we serve.
If you want to build AI systems that move from ingestion to actionable insight, and know exactly why they produced the answer they did, we should talk.
What You’ll Do
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Architect, design, and lead development of scalable backend services using Python (FastAPI/Flask) and/or Java (Spring Boot, Micronaut) supporting production-grade mission systems.
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Define and maintain REST API layers, integration patterns, and microservice contracts across distributed environments.
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Lead system reliability improvements including observability, performance tuning, fault tolerance, and security hardening.
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Diagnose and resolve complex production issues, driving structured root-cause analysis and long-term remediation.
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Guide CI/CD strategy, deployment automation, and infrastructure alignment in partnership with DevOps teams.
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Design and optimize relational, NoSQL, and search data models to support high-scale and latency-sensitive workloads.
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Establish and enforce engineering standards across code quality, testing, documentation, and secure SDLC practices.
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Mentor engineers, lead architectural reviews, and influence technical direction across services and platforms.
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Collaborate with cloud, platform, and security teams to deliver hardened, high-performance applications.
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Produce clear technical documentation, design artifacts, and planning materials aligned to mission execution.
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Support system scaling, database optimization, and long-term modernization initiatives.
Core Skills & Qualifications
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B.S. or M.S. in Computer Science, Engineering, or related field.
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8+ years of software engineering experience with deep expertise in either Python or Java (experience in both is a strong plus).
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Proven success designing, deploying, and supporting backend services in production environments.
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Strong experience architecting distributed systems and RESTful APIs.
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Experience deploying cloud-native systems (AWS preferred) using containerization and CI/CD pipelines.
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Strong database experience including schema design, performance optimization, and data modeling across SQL and NoSQL systems.
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Strong understanding of secure SDLC practices and application security fundamentals.
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Experience leading technical initiatives, mentoring engineers, and driving engineering discipline.
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Ability to communicate technical tradeoffs clearly to engineering and mission stakeholders.
Additional Valuable Experience
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Experience with orchestration and integration pipelines (Airflow, NiFi).
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Experience with Kafka or other streaming/event-driven architectures.
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Familiarity with Kubernetes and hardened cloud deployments.
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Experience supporting secure or classified environments (e.g., C2S, SC2S, AC2SP).
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Familiarity with AI/ML interfaces, data platforms, or LLM-enabled services.
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Experience operating within multi-language ecosystems (Python and Java together).
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Experience modernizing legacy systems into scalable microservice architectures.
