P
Developer - AI Engineer
Progression Inc
2 hours ago
Full-time
On-site
Richmond, Virginia, United States
*Work with Progression, Inc. get your application bumped to the front of the line*
AI Engineer
Washington, DC (Fully Remote) MUST:
Active : IRS MBI Clearance required Experienced AI Engineer with 7 plus years of professional experience Experience supporting complex AI/ML initiatives and enterprise applications Hands-on experience with Azure OpenAI and AWS cloud services Strong proficiency in Python AI application development Deep understanding of Retrieval-Augmented Generation (RAG) frameworks Experience with advanced prompt engineering techniques and Large Language Models (LLMs) Experience developing, optimizing, and deploying machine learning models Experience with cloud infrastructure management and AWS GovCloud Experience with Git, CI/CD pipelines, Docker, and Kubernetes Experience implementing AI development standards and model evaluation frameworks Strong project management and technical delivery leadership skills Experience working in Agile development environments Excellent written and verbal communication skills Ability to translate complex technical concepts for diverse stakeholders Strong collaboration and problem-solving skills Must possess an active IRS MBI clearance with current Government Furnished Equipment (GFE) Bachelor's Degree in Computer Science, Engineering, or related field DUTIES:
Lead the development and optimization of prompt engineering strategies Design and implement Retrieval-Augmented Generation (RAG) frameworks Develop and deploy AI applications using Python, Azure OpenAI, and AWS cloud services Architect and operationalize responsible AI systems, including generative AI applications and RLHF instruction models Build, fine-tune, and evaluate machine learning models using Python, Java, and open-source frameworks Apply advanced natural language processing (NLP) and machine learning techniques to complex business challenges Implement AI guardrails, performance benchmarks, and model evaluation frameworks Establish reproducible experiment tracking, version control, automated testing, and CI/CD pipelines Utilize Docker, Kubernetes, and infrastructure-as-code to support scalable AI deployments Manage AI project delivery and provide technical implementation leadership Collaborate with cross-functional teams to integrate AI solutions into existing enterprise systems Partner with leadership and stakeholders to identify AI opportunities and develop strategic roadmaps Conduct peer code reviews and maintain technical documentation Translate technical findings into actionable recommendations for stakeholders Support the modernization of IRS legacy tax processing systems through advanced AI technologies *Progression Inc. is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability.* #INDPRO
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Washington, DC (Fully Remote) MUST:
Active : IRS MBI Clearance required Experienced AI Engineer with 7 plus years of professional experience Experience supporting complex AI/ML initiatives and enterprise applications Hands-on experience with Azure OpenAI and AWS cloud services Strong proficiency in Python AI application development Deep understanding of Retrieval-Augmented Generation (RAG) frameworks Experience with advanced prompt engineering techniques and Large Language Models (LLMs) Experience developing, optimizing, and deploying machine learning models Experience with cloud infrastructure management and AWS GovCloud Experience with Git, CI/CD pipelines, Docker, and Kubernetes Experience implementing AI development standards and model evaluation frameworks Strong project management and technical delivery leadership skills Experience working in Agile development environments Excellent written and verbal communication skills Ability to translate complex technical concepts for diverse stakeholders Strong collaboration and problem-solving skills Must possess an active IRS MBI clearance with current Government Furnished Equipment (GFE) Bachelor's Degree in Computer Science, Engineering, or related field DUTIES:
Lead the development and optimization of prompt engineering strategies Design and implement Retrieval-Augmented Generation (RAG) frameworks Develop and deploy AI applications using Python, Azure OpenAI, and AWS cloud services Architect and operationalize responsible AI systems, including generative AI applications and RLHF instruction models Build, fine-tune, and evaluate machine learning models using Python, Java, and open-source frameworks Apply advanced natural language processing (NLP) and machine learning techniques to complex business challenges Implement AI guardrails, performance benchmarks, and model evaluation frameworks Establish reproducible experiment tracking, version control, automated testing, and CI/CD pipelines Utilize Docker, Kubernetes, and infrastructure-as-code to support scalable AI deployments Manage AI project delivery and provide technical implementation leadership Collaborate with cross-functional teams to integrate AI solutions into existing enterprise systems Partner with leadership and stakeholders to identify AI opportunities and develop strategic roadmaps Conduct peer code reviews and maintain technical documentation Translate technical findings into actionable recommendations for stakeholders Support the modernization of IRS legacy tax processing systems through advanced AI technologies *Progression Inc. is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability.* #INDPRO
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