Senior AI Software Engineer
hace 7 días
Gaithersburg
Job DescriptionSr. AI Software EngineerEssential Software Inc. (ESI)OverviewEssential 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 ResponsibilitiesWhat 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. 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. 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