Staff Software Engineer (GenAI Innovation/ Forward deployed)

Accountabilities:

• Research, prototype, and evaluate emerging generative AI technologies, translating promising capabilities into solutions with measurable business value and return on investment.
• Assess proposed AI use cases critically, distinguishing genuine AI opportunities from problems that are better solved through conventional technology or process improvements.
• Lead technical development from concept through deployment, independently taking ownership of applications and collaborating with cross-functional partners as needed.
• Design and build scalable backend services, business logic, data layers, and APIs using established engineering patterns and organizational standards.
• Develop and maintain databases and storage solutions across SQL and NoSQL environments.
• Build end-to-end features spanning web frontends, APIs, backend services, and underlying data systems.
• Integrate foundation models and agentic AI capabilities into applications using appropriate tooling, instrumentation, retrieval-augmented generation (RAG), and model-selection approaches.
• Develop automated tests and maintain high standards for reliability, code quality, maintainability, and security—including careful review of AI- or agent-generated code.
• Deploy applications to cloud environments and troubleshoot application, infrastructure, configuration, and networking issues.
• Use code-generation and test-generation technologies to accelerate development while maintaining rigorous engineering standards.
• Collaborate across multidisciplinary and matrixed teams, building alignment through clear communication, technical expertise, and strong interpersonal skills.
• Translate ambiguous business needs into practical technical requirements, architectures, and scalable implementations.
• Adapt quickly to changing priorities, incorporate feedback, and continuously improve solutions as new information and technologies emerge.

Requirements

• 6+ years of professional experience in backend or full-stack software development, supported by a strong portfolio of relevant technical work.
• Demonstrated systems-thinking ability, with experience addressing underlying systemic problems rather than simply treating symptoms.
• Proven ability to take an application from an initial idea through design, implementation, testing, and production delivery.
• Strong experience with Python for application development, along with AWS, database technologies, and SQL.
• Familiarity with the broader Python ecosystem and tools used for software development, testing, build automation, and deployment.
• Strong understanding of machine learning practices relevant to foundation-model integration, including model selection, RAG patterns, tooling, instrumentation, and evaluation.
• Exposure to fine-tuning, deep learning, model training, or related AI/ML concepts.
• Practical experience designing, integrating, and consuming APIs across backend and frontend applications.
• Experience building scalable technical architectures and communicating architectural concepts clearly to technical and non-technical stakeholders.
• Familiarity with large language models, AI-generated content, and the evolving ecosystem of LLM application-development tools such as LangChain.
• Ability to work effectively within secured internal networks and complex cloud environments.
• Strong analytical and problem-solving skills, particularly when requirements are ambiguous or evolving.
• Ability to distinguish user preferences from essential technical or business requirements and independently identify appropriate solutions.
• Excellent communication and collaboration skills, with the ability to navigate complex organizational structures and work effectively across teams.
• High adaptability and comfort operating in a rapidly changing technology landscape.
• Strong engineering judgment, curiosity, ownership, and willingness to experiment with emerging technologies.
• Ability to work with agility, respond constructively to feedback, and adjust priorities as business needs evolve.

Benefits

• Competitive base salary of $130,000–$170,000, with eligibility for a bonus.
• Fully remote work arrangement within the United States.
• Medical, dental, and vision insurance.
• 401(k) retirement savings plan.
• Paid leave.
• Tuition reimbursement.
• Employee discounts and a variety of additional perks and benefits.
• Opportunity to work at the forefront of generative AI and foundation-model application development.
• Broad technical ownership spanning AI, backend systems, APIs, databases, cloud infrastructure, and web applications.
• Opportunity to collaborate with multidisciplinary teams and apply emerging technologies to large-scale, real-world business challenges.
• Ongoing opportunity to learn, experiment, and influence how AI-enabled products and systems are built and deployed.