Senior Software Engineer (AI/ML)
Indexed description
The system leverages cloud-native infrastructure, while incorporating AI/ML capabilities to enhance signal analysis, anomaly detection, and data-driven insights. Engineers on this team build and scale full-stack features across user interfaces, backend services, and data pipelines that power mission-critical analytics. You'll play a key role in integrating AI/ML-driven capabilities into production systems, enabling faster, more accurate operational decision-making.
Location: Patrick Space Force Base, FL. Primarily onsite, up to 5 days/week. Travel up to 25%
Citizenship & Clearance Requirement: Per client requirements, candidates must be U.S. Citizens with an active DoW clearance with TS/SCI eligibility
Education Requirement: Bachelor's Degree in Computer Science or related field (preferred)
540 Internal Thrive Level: Senior Software Engineer
WHY 540?
540 is a forward-thinking company that the government turns to in order to #getshitdone. We don't just talk about innovation – we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems.
HOW YOU'LL DRIVE IMPACT
- Design and develop machine learning models and applications for deployment to cloud-native services
- Collaborate with data engineers and data scientists to productionize machine learning models and data pipelines
- Collaborate with a cross-functional team of architects, engineers, and scientists to design and deploy Machine Learning Operations (MLOps) at scale
- Integrate AI/ML capabilities into production systems (e.g., model inference APIs, decision-support features, anomaly detection workflows)
- Design and optimize data models and persistence layers to support both transactional and analytical workloads
- Enable intelligent application behavior by delivering AI and ML features to user-facing applications
- Contribute to technical design documentation and system architecture artifacts
- Lead or participate in code reviews, testing, and troubleshooting to ensure high-quality software
- Drive system reliability through robust testing
- Improve system performance, scalability, and reliability as the platform evolves
- 8+ years of professional software development experience
- Experience developing microservices in containerized environments
- Experience with, or a strong conceptual understanding of, LLM-based applications, RAG pipelines, and AI-driven decision systems
- Experience with Python
- Experience working with relational databases and data warehouses
- Experience integrating AI/ML capabilities into applications (e.g., working with model inference APIs, ML pipelines, or data-driven features)
- Ability to produce technical design documentation (system diagrams, architecture artifacts)
- Familiarity with MLOps concepts (model deployment, monitoring, versioning)
- Ability to design with future scalability and platform evolution in mind
- Demonstrated ownership and ability to drive work from concept to production
- Strong problem-solving skills and ability to navigate ambiguity
- Excellent communication skills, including working directly with stakeholders or clients
- Experience with Google Cloud Platform (GCP) or similar cloud environments
- Experience designing and consuming RESTful APIs
- Experience with API gateways and API management platforms, such as Google Apigee
- Familiarity with API authentication and authorization (PKI, OAuth2, JWT, LDAP, SAML, etc.)
- Experience working on U.S. Federal Government programs, particularly DoW environments
- Google Cloud Professional-level certifications
- Flexible PTO + all Federal holidays off
- Health, dental and vision insurance plans
- Flexible Spending Account (FSA)
- 401k with employer match
- Company-sponsored life insurance, short- and long-term disability
- Professional development (training, certifications, conferences)
- Paid cloud developer accounts
- Referral bonuses
- HQ office perks (parking / metro reimbursement, nitro coffee & lunches)
- Annual social events (540 Week, hackathon, charity golf tournament, etc.)
- Access to 540's Washington Capitals & Nationals tickets
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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