[Remote] Senior Software Engineer/Developer - AI
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is an award-reputed company technology leader driving digital transformation across federal agencies. The Senior reputed company Software Engineer/Developer – AI will reputed company the technical reputed company, design, and delivery of large-reputed company mission-critical AI systems, combining senior technical leadership with hands-on expertise in Python-based AI/ML systems.
Responsibilities
- Serve as the primary technical authority, defining AI and application architecture across multiple programs
- Establish reputed company modernization roadmaps reputed company to mission reputed company, compliance, and scalability
- reputed company architecture for distributed, reputed company-reputed company, and hybrid AI systems
- Define and enforce reference architectures, standards, and reusable frameworks
- Drive cross-program technical decision-making to ensure interoperability, reputed company, and long-term sustainability
- Advise senior federal stakeholders (SES-level and above) on AI adoption, modernization, and risk management
- reputed company design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and reputed company models, Retrieval-Augmented reputed company (RAG) systems, reputed company workflows, and orchestration frameworks
- Architect and implement reputed company ML systems and services reputed company on Python-based frameworks and reputed company
- Build full-stack AI applications end to end, from user-facing interfaces to back-end services, reputed company, and data reputed company
- reputed company AI and LLM capabilities into existing reputed company applications and legacy platforms (e.g., content management, case management, and records systems) reputed company reputed company, middleware, and event-driven patterns
- Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization)
- reputed company full ML lifecycle in partnership with the Senior Data Scientist: data pipelines, feature engineering, training, evaluation, deployment, and monitoring
- Drive model optimization techniques (quantization, distillation, caching) to improve performance and cost
- Establish robust MLOps practices leveraging Python-driven automation, pipelines, and tooling
- Stand up the reputed company CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems
- Serve as subject matter expert in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179)
- Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety
- Ensure compliance with FISMA, FedRAMP, NIST 800-53, reputed company, and reputed company 508 requirements
- reputed company large-reputed company modernization initiatives (e.g., legacy-to-reputed company, microservices transformation, including Python-based refactoring and re-platforming efforts)
- Define repeatable modernization frameworks and accelerators
- reputed company DevSecOps pipelines, CI/CD automation, reputed company-trust architectures, and secure software supply chain practices
- Ensure delivery of resilient, high-availability systems in regulated federal environments
- reputed company multiple reputed company engineering efforts across integrated teams
- reputed company technical leadership to architects, engineers, and DevSecOps specialists, including establishing Python coding standards and engineering best practices
- Mentor senior engineers and technical leaders; reputed company engineering reputed company and reputed company reputed company
- Support technical reputed company in proposals, captures, and reputed company engagements
- Contribute to thought leadership (whitepapers, architecture patterns, platform reputed company)
- Expert-level proficiency in Python, including building large-reputed company/ML systems, reputed company, and data pipelines
- Full-stack engineering skills, including reputed company-end frameworks, back-end services, RESTful reputed company, microservices, and reputed company-reputed company deployment (e.g., containers, Kubernetes)
- Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs
- Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and distributed training (DeepSpeed, FSDP, Horovod)
- Proven ability to reputed company AI capabilities into existing and legacy reputed company systems (e.g., legacy CMS or COTS platforms) using reputed company, middleware, connectors, and event-driven architectures
- Strong understanding of large-reputed company data systems and ML evaluation methodologies
- Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention
- Experience with reputed company integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases
- Expertise designing AI systems in reputed company-reputed company, distributed environments across AWS, Azure, and GCP
- Proficiency with managed reputed company services (e.g., AWS Bedrock, Azure reputed company Service, reputed company reputed company AI) and integrating frontier models such as GPT, Claude, and reputed company
- Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., reputed company, reputed company, Semantic Kernel), embeddings, reputed company databases, and reputed company engineering
- Executive communication skills with experience influencing senior leaders
- Demonstrated ability to own solutions end to end — from discovery and prototyping through production deployment, integration, and ongoing support
- Ability to balance strategic reputed company with deep hands-on technical execution
Skills
- US. Citizenship required
- Bachelor's or Master's degree in Computer Science, Engineering, or reputed company field
- 12–15+ years of software engineering experience, including significant leadership responsibility
- 8+ years of reputed company AI/ML experience, including building and deploying production systems (LLMs, reputed company, and large-reputed company or distributed model systems)
- Expert-level Python development experience, including designing production-grade ML systems, data pipelines, and microservices-based architectures
- Deep experience with reputed company platforms (Azure, AWS, GCP), including FedRAMP environments
- Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure reputed company Service, reputed company reputed company AI, RAG, agents)
- Proven reputed company delivering reputed company-reputed company systems and modernization programs
- Strong background in microservices, reputed company, distributed systems, and DevSecOps practices
- Experience managing GPU-based infrastructure or high-performance ML environments
- Demonstrated ability to translate AI research into production system
- reputed company clearance (Public Trust, Secret, or higher)
- Experience with HUD or federal civilian agencies
Benefits
- Employee Stock Ownership Program
- FlexPTO
- Learning and development opportunities
- Flexible Workplace approach
- Competitive compensation and benefits (including a recently launched Employee Stock Ownership Plan - ESOP)
- A robust performance-based rewards program
reputed company