Help implement and maintain basic MLSecOps guardrails, such as input validation, prompt protections, and output filtering.
Participate in troubleshooting efforts, root-cause analysis, and issue resolution for operational incidents involving LLM pipelines or infrastructure.
Stay current with emerging tools, libraries, and practices for operationalizing LLMs, including orchestration frameworks and inference accelerators.
Document system workflows, runbooks, and operational best practices to support team knowledge growth and onboarding.
You will contribute to the growth of our AI & Data Exploitation Practice!
Qualifications
Ability to hold a position of public trust with the U.S. government.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field and 5+ years of experience; OR
Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field and 3+ years of experience.
2+ years of experience in software engineering, DevOps, MLOps, cloud engineering, or data engineering, with exposure to LLM or ML model operations.
Proficiency in Python and familiarity with LLM-related tools and frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, or similar.
Experience with containerization (Docker) and basic orchestration using Kubernetes or serverless model hosting environments.
Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), including compute, storage, and networking fundamentals for AI workloads.
Familiarity with CI/CD pipelines, automated testing, and environment provisioning for AI or data systems.
Exposure to vector databases, embedding models, and RAG pattern implementations preferred.
Understanding of modern DevSecOps principles, security basics, and safe handling of data used in AI pipelines.
Strong debugging and problem-solving skills with an ability to collaborate in cross-functional engineering teams.
Strong written and verbal communication skills with the ability to document workflows and explain operational concepts.
Experience working in agile or iterative development environments is a plus.
About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $145,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
