Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Position Overview AI/ML Engineer to join team at USPTO. In this role, you will assist in developing and evaluating machine learning models, preparing datasets, implementing AI solutions, and supporting the integration of intelligent systems into applications. You will work closely with other AI/ML engineers and other professionals to solve business problems using modern artificial intelligence and machine learning techniques. Core Responsibilities • Collaboration: Work with clients, key stakeholders, as well as cross-functional teams. • Technical Performance: • Senior skills • Supervised fine-tuning, preference tuning, domain adaptation • Distributed GPU training • Quantization and inference optimization • Model serving and inference infrastructure • MLOps: CI/CD pipelines, model lifecycle management • Designing evaluation harnesses • Architecting agentic frameworks • Leading integration of AI systems into production applications • Mentoring junior engineers, driving technical decisions Minimum Requirements • Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Engineering, or a related technical field. • Experience: • Senior (10 to 14 years) • Technical Proficiency: • Experience with Python, Javascript, 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 (e.g., Azure DevOps, 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 • Compliance: Obtain Public Trust Preferred Expertise • 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 (Section 508) • Experience with Azure or AWS cloud platforms (beyond just Bedrock) • Contributions to open-source ML projects • Publications or presentations in AI/ML Privacy Policy – Halvik Corp Halvik offers a competitive full benefits package including: Company-supported medical, dental, vision, life, STD, and LTD insurance Benefits include 11 federal holidays and PTO Eligible employees may receive performance-based incentives in recognition of 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 Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Requirements

Must-haves

Position Overview
Collaboration: Work with clients, key stakeholders, as well as cross-functional teams.
Senior skills
Supervised fine-tuning, preference tuning, domain adaptation
Distributed GPU training
Quantization and inference optimization
Model serving and inference infrastructure
MLOps: CI/CD pipelines, model lifecycle management
Designing evaluation harnesses
Architecting agentic frameworks
Leading integration of AI systems into production applications
Mentoring junior engineers, driving technical decisions
Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Engineering, or a related technical field.
Senior (10 to 14 years)
Experience with Python, Javascript, 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 (e.g., Azure DevOps, 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

Nice-to-haves

Preferred Expertise

Application prep

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Keywords to mirror

machine learningaimlci/cdpythonjavascriptjavallmagileazureaccessibilityaws

Platform: isolved
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto