Senior AI Software Engineer

Sr. AI Software Engineer Essential Software Inc. (ESI) Overview Essential Software Inc. is a trusted partner delivering innovative technology solutions that advance critical missions. Our teams provide direct support to the National Cancer Institute’s (NCI) large-scale data and research initiatives, providing secure, cloud-based platforms for scientific discovery in direct support of client mission.

We are seeking an AI Senior Software Engineer to innovate, design, build, and ship production grade GenAI features. Join an agile team that experiments, prototypes, and delivers solutions that make complex data and tools more accessible to scientists who are working to save lives. Key Responsibilities What you will do

• Take end to end ownership of features from design and estimation through implementation, testing, deployment, and production support.
• Translate research and product requirements from scientific stakeholders into concrete technical designs and working software.
• Partner with product owners, architects, and applied scientists to prototype and validate new AI driven capabilities, then harden them for production use.
• Help invent new features and contribute to technical direction for AI and data intensive services.
• Provide guidance and informal mentorship to junior engineers and peers learning AI and cloud patterns.

Core Software Engineering

• Design, develop, test, and maintain high quality software services that meet program requirements and deliver measurable value to cancer researchers.
• Collaborate closely with fellow engineers, QA, product owners, and business users in an agile, iterative environment.
• Write and maintain clear technical documentation, contributing to shared coding standards and best practices.
• Support acceptance testing and ensure successful delivery to end users in secure, compliant environments.
• Troubleshoot and resolve production issues, including performance, reliability, and scalability challenges.
• Integrate existing software into new or updated cloud environments using modern deployment and containerization practices.
• Contribute to continuous improvement of team processes, development tooling, and engineering standards.

AI, ML, and GenAI Enablement

• Design and deploy AI powered features that enhance data discovery, interoperability, and research workflows across multiple platforms.
• Integrate LLMs and other ML models into cloud and web applications, including: Retrieval augmented generation (RAG) pipelines, tool and function calling, and prompt design and evaluation frameworks.
• Build and enhance data pipelines for model training and finetuning using biomedical and clinical datasets.
• Implement monitoring and feedback mechanisms to manage model drift, accuracy, latency, cost, and user experience.
• Run experiments and evaluations to improve model performance and outcomes for researchers and clinicians.
• Apply responsible AI principles aligned with federal security, privacy, and compliance standards.
• Collaborate with federal stakeholders, domain experts, and UX teams to translate research needs into scalable, repeatable AI solutions.

Basic Qualifications

• Bachelor’s degree in Computer Science or a related field from an accredited (CHEA) institution.
• 3-5 years of experience building and maintaining production software systems.
• Experience with modern web or service development stacks, for example: Languages such as Java, Python, TypeScript, or similar; frameworks such as React, Angular, Node.js, or similar.
• Hands-on experience in a cloud environment (AWS preferred), including containerized workflows (for example Docker, ECS, EKS).
• Experience with relational databases and SQL, and familiarity with modern CI/CD practices.
• Strong communication skills and experience working directly with customers, product owners, or business stakeholders.
• Proven ability to collaborate in a team environment, manage priorities, and deliver in a fast paced government or enterprise setting.

AI Specific Qualifications

• Proficiency in Python for AI, ML, or LLM integration, plus at least one additional production language (for example Java, TypeScript, Go, or C++).
• Applied knowledge of ML fundamentals such as evaluation, bias, data leakage, and experiment design.
• Experience deploying LLMs or other AI models into production systems, or integrating with cloud based AI services.
• Experience with patterns such as RAG, vector search, or orchestration frameworks (for example LangChain or LlamaIndex) is strongly preferred.

Preferred Qualifications

• Background in healthcare, life sciences, or regulated data systems.
• Experience supporting federal security and compliance frameworks such as FISMA, FedRAMP, or HIPAA adjacent environments.
• AWS Solutions Architect or related cloud certification.

How We Work

• Mission driven and customer focused. Our experience partnering directly with scientists, product owners, and data experts delivers meaningful results.
• Curious and learning oriented, our engineers constantly experiment with new AI tools, patterns, and technologies.
• Deliver real-world impact through contributions to cutting-edge biomedical informatics projects.
• Full time role. Primarily remote, with an expectation of four days per month onsite in Rockville, MD for collaboration with stakeholders.
• Competitive benefits, professional development, and a supportive, collaborative culture.
• Be a critical part of a diverse team making a difference in cancer research and public health.

Work With ESI In a time when federal agencies have relied on novel technology solutions, ESI stands as a trusted partner. We have built our success on our commitment to technology, teamwork, and trust. At ESI, we acknowledge and celebrate our talented staff who consistently strive for and achieve excellence.
ESI offers a robust benefits package that includes health care, paid time off, 401(k) retirement savings, professional development opportunities, and more. 
Salary range for this position: $120,000- $165,000 per year, depending on skills and experience. Equal Opportunity Employer ESI is an Equal Opportunity Employer (EOE). We are committed to creating an inclusive environment for all employees, including equitable hiring and promotion practices, and ongoing learning that supports belonging for every team member.

 

Essential Software Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

---