AI/ML Engineer - Senior
About The Position
Halvik Corp is hiring a Senior AI/ML Engineer to join a team at USPTO. The engineer will assist in developing and evaluating machine learning models, preparing datasets, implementing AI solutions, and integrating intelligent systems into applications. The role works with other AI/ML engineers and professionals to solve business problems using modern AI and machine-learning techniques. The Senior level typically corresponds to 10 or more years of experience; the listed minimum requirements give a Senior experience range of 10 to 14 years. The role includes advanced AI/ML engineering work, production integration, technical decision-making, and mentoring junior engineers. There are two openings for the position, and this opening is for the Senior position. Candidates must obtain Public Trust.
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Engineering, or a related technical field.
- 10 to 14 years of experience for the Senior level.
- Experience with Python, JavaScript, and Java.
- Experience with AI coding harnesses or related methods for agentic software development.
- Experience with LLM engineering, such as prompt design, retrieval-augmented generation (RAG), or agentic frameworks.
- Experience with MLOps concepts, including CI/CD pipelines, version control, and model lifecycle management.
- Experience collaborating in Agile development environments and using modern DevOps tools such as Azure DevOps or GitHub.
- Experience with Amazon Bedrock or similar generative AI platforms.
- Experience working with large language models and prompt engineering.
- Experience with model evaluation and performance optimization.
- Experience developing and integrating APIs.
- Experience using AI-enabled development tools such as Claude Code, GitHub Copilot, or similar technologies.
- Ability to obtain Public Trust.
Nice To Haves
- Experience with document-heavy or structured-data AI applications.
- Experience with federal government IT systems or federal contracting.
- Experience with semantic search or knowledge graph systems.
- Familiarity with accessibility and compliance requirements, including Section 508.
- Experience with Azure or AWS cloud platforms beyond Bedrock.
- Contributions to open-source ML projects.
- Publications or presentations in AI/ML.
Responsibilities
- Work with clients, key stakeholders, and cross-functional teams.
- Perform supervised fine-tuning, preference tuning, and domain adaptation.
- Support distributed GPU training.
- Perform quantization and inference optimization.
- Work with model-serving and inference infrastructure.
- Implement MLOps practices, including CI/CD pipelines and model lifecycle management.
- Design evaluation harnesses.
- Architect agentic frameworks.
- Lead integration of AI systems into production applications.
- Mentor junior engineers and drive technical decisions.
- Develop and evaluate machine-learning models, prepare datasets, and implement AI solutions.
Benefits
- Company-supported medical, dental, vision, life, short-term disability, and long-term disability insurance.
- 11 federal holidays and paid time off.
- Eligible employees may receive performance-based incentives for individual and/or team achievements.
- 401(k) with company matching.
- Flexible Spending Accounts for commuter, medical, and dependent care expenses.
- Tuition assistance.
- Charitable contribution matching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
