[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 (reputed company 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