Senior Software Developer
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Role details
Tech stack
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Job description
OpenAI FedRAMP DevSecOps AI Agents Operations Leadership Mentorship Innovation Scalability AWS Bedrock AI Research AI Adoption Azure OpenAI Microservices Data Pipelines Microsoft Azure Data Governance Language Models Computer Science Machine Learning Data Engineering Edge Intelligence Influencing Skills Business Valuation Development Testing Amazon Web Services Software Engineering Software Development Technical Leadership Cloud-Native Computing Full Stack Development Artificial Intelligence Large Language Modeling Business Transformation Python (Programming Language) Retrieval Augmented Generation Generative Artificial Intelligence Artificial Intelligence Development Application Programming Interface (API), Pyramid Systems is seeking a Senior Software Engineer / Developer AI to help drive the development and deployment of advanced AI-powered solutions supporting federal initiatives. This role will focus on building enterprise-scale generative AI applications, large language model (LLM) integrations, retrieval-augmented generation (RAG) architectures, and cloud-native software systems.
This is a hands-on engineering leadership role where you’ll work across the full AI development lifecycle, from architecture and model integration to production deployment and optimization. You’ll help modernize enterprise platforms while supporting the rollout of innovative AI solutions within secure federal environments.
What You’ll Be Doing
- Design, develop, and deploy production-grade AI and machine learning solutions.
- Build and implement LLM-powered applications, generative AI systems, and distributed AI architectures.
- Develop Python-based microservices, APIs, and data pipelines supporting AI workloads.
- Architect and deploy cloud-native solutions across AWS, Azure, and GCP environments.
- Design and implement RAG pipelines, AI agents, and advanced GenAI workflows.
- Leverage platforms such as AWS Bedrock, Azure OpenAI Service, and Google Vertex AI.
- Drive enterprise modernization initiatives through scalable microservices and distributed systems.
- Apply DevSecOps best practices throughout development, testing, security validation, and deployment.
- Support GPU-based infrastructure and high-performance computing environments for AI workloads.
- Translate emerging AI research into practical, production-ready business solutions.
- Provide technical leadership and mentorship to engineering teams.
- Collaborate with product owners, architects, stakeholders, and federal customers.
Requirements
- U.S. Citizen.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 1215+ years of software engineering experience with demonstrated technical leadership.
- 8+ years of hands-on AI/ML experience building and deploying production systems.
- Expert-level Python development experience.
- Experience building:
- Production ML systems
- Microservices architectures
- REST APIs
- Distributed systems
- Data pipelines
- Deep cloud experience with AWS, Azure, and/or GCP.
- Experience deploying solutions within regulated or FedRAMP environments.
- Strong understanding of:
- Large Language Models (LLMs)
- Generative AI
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Experience with DevSecOps and CI/CD practices.
- Proven success delivering enterprise-scale software platforms., * Experience supporting HUD or other Federal Civilian agencies.
- Active Public Trust, Secret, or higher clearance.
- Experience with:
- AWS Bedrock
- Azure OpenAI Service
- Google Vertex AI
- Experience managing GPU infrastructure and high-performance AI environments.
- Background in data engineering, data governance, or large-scale data integration.
- Experience leading AI modernization initiatives in secure or highly regulated environments.
Technical Environment
Languages & Development
- Python
- APIs
- Microservices
- Distributed Systems
AI / ML Technologies
- Generative AI
- Large Language Models (LLMs)
- RAG Pipelines
- AI Agents
- Machine Learning Platforms
Cloud Platforms
- AWS
- Azure
- GCP
- FedRAMP Environments
AI Platforms
- AWS Bedrock
- Azure OpenAI
- Google Vertex AI
DevOps / Infrastructure
- CI/CD
- DevSecOps
- GPU Infrastructure
- High-Performance Computing, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
About the company
We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
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