Steampunk, Inc.

AI Developer

McLean, Virginia

Sponsorship not specified$115k-$145kDetected 36 days ago

PythonCode ReviewAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDMachine LearningTensorFlowPyTorchNLPLLMsRAGA/B TestingCollaboration

About the role

For our clients, data is a strategic asset.
They are looking to become a facts -based, data-driven, customer-focused organization.
To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information.

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices.
Implement reusable AI components, libraries, and APIs that streamline application development and accelerate delivery across programs.
Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to deliver scalable mission capabilities.
Drive iterative experimentation, prototyping, and model improvement cycles in collaboration with Data Scientists and AI Evaluation Scientists.
Design and implement advanced prompt strategies, context management layers, retrieval systems, and LLM orchestration logic.
Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement.
Implement secure-by-design and trustworthy AI practices, including safety guardrails, input sanitization, content filtering, and integration of evaluation metrics.
Participate in code reviews and support engineering excellence across multi-disciplinary AI delivery teams.
Demonstrated ability to design and develop production-grade AI applications, including APIs, back-end services, orchestration logic, and front-end integrations (when needed).
Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced LLM interaction design.

Ability to hold a position of public trust with the U.S. government.
2+ years of hands-on software engineering experience, with exposure to AI/ML, generative AI, or LLM-driven application development.
Strong proficiency in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, or similar.
Strong understanding of cloud platforms (AWS, Azure, GCP), including compute, serverless services, and security fundamentals for AI workloads.
Working knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI-based systems.
Experience with structured and unstructured data, document processing, and application integration with existing enterprise systems.

Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.

This listing is sourced directly from Steampunk, Inc.'s careers page and normalized into a canonical job model.