Senior Software Engineer – Artificial Intelligence; AI & ML

Overview

Senior Software Engineer – Artificial Intelligence (AI) & ML

Location:

Remote, United States. Date:
Friday, November 7, 2025. Working time:
Full-time.

The AI Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our IRS client, and contribute to innovative projects. Position is fully remote. Candidates in the Washington DC area are preferred in case there is a need to attend onsite client meetings. The selected candidate must be able to obtain and wait for the completion of an interim Minimum Background Investigation (MBI) clearance prior to starting employment.

This process may take approximately 3–4 months.

• Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation. Lead the use of applied mathematical analyses to provide solutions.
• Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
• Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
• Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
• Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.

• Design, develop, and deploy AI/ML models that support business objectives and enhance product functionality.
• Demonstrated knowledge in designing, building, testing, and deploying machine models.
• Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance.
• Proficient in using Python, with good working knowledge of R and other programming languages to develop data pipelines, preprocessing routines, to clean data, and model automation workflows as needed.
• Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability.
• Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization.
• Preferably have worked with Lang Chain family of products, MCP, and other integration technologies with databases and other knowledge artifacts.
• Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models.
• Evaluate and adopt emerging AI tools, frameworks, and methodologies to improve system performance and development efficiency.
• Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions.
• Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements.

• Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
• A bachelor’s degree in computer science is strongly preferred; additional years of directly related professional experience may be considered in lieu of a degree. Degrees in Mathematics, Artificial Intelligence, Data Science, or related fields are also acceptable.
• 10+ years of professional software engineering experience, with proficiency in one or more programming languages such as Java, Python, or R.
• 2+ years of current hands-on experience in data mining, machine learning, deep learning, data structures, algorithms, statistics, and AI model training.
• Practical experience working with Python, PyTorch, Tensor Flow, and related…