Senior Software Engineer, AI Transformation

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, AI Transformation based in the United States. This is a high-impact engineering role at the forefront of AI-driven software transformation, focused on redefining how engineering teams design, build, test, and operate software. You will join a newly formed, forward-looking team within a core architecture and infrastructure organization, responsible for creating the systems, tools, and patterns that enable safe and scalable AI-augmented development. The role sits at the intersection of infrastructure engineering, developer experience, and applied AI systems, with direct influence on how internal teams adopt and operationalize LLM-powered workflows. You will help build the foundational layer for agentic software development, enabling engineers, product managers, and designers to work more effectively with AI. This is a highly cross-functional environment where you will partner closely with engineering, product, security, and infrastructure teams. Your work will directly shape the reliability, safety, and productivity of AI-enabled development across the organization.
• Accountabilities: This role focuses on building and scaling internal AI-powered systems that transform how software is developed, tested, and operated across engineering teams. Design and build AI-powered developer tools integrated into everyday engineering workflows such as IDEs, Slack, documentation systems, and observability platforms Develop and maintain backend services and infrastructure that support LLM-driven workflows, including tool-calling, orchestration, and agentic systems Implement and evolve AI inference pipelines using modern LLM platforms and frameworks, ensuring reliability, security, and performance at scale Partner with engineering, product, and infrastructure teams to define AI-augmented software development lifecycle (SDLC) patterns Build internal chat-based and automation tools that safely orchestrate systems and services through agent-driven interfaces Instrument, monitor, and analyze AI usage, performance, cost, and reliability to guide engineering and leadership decisions Develop reusable libraries, templates, and frameworks that enable teams to adopt AI workflows consistently and securely Collaborate with security and compliance teams to ensure safe handling of sensitive data, including healthcare-related information Contribute to documentation, training materials, and enablement sessions to support organization-wide adoption of AI tools Requirements This role requires strong backend engineering expertise combined with hands-on experience building and integrating AI/LLM-based systems in production environments. 8+ years of software engineering experience, ideally focused on infrastructure, developer tools, or internal platforms Strong proficiency in at least one backend programming language such as Python, Go, TypeScript/Node.js, or Ruby Hands-on experience working with LLM platforms or orchestration frameworks (e.g., AWS Bedrock, OpenAI, Anthropic, LangChain, LiteLLM, or similar) Experience designing and building backend services, APIs (REST/GraphQL), or event-driven systems at scale Proven experience integrating AI capabilities into real-world workflows, including tool-calling, agents, or multi-step orchestration systems Strong understanding of AWS cloud infrastructure and secure-by-design engineering practices Experience building internal tools such as chatops, CLIs, bots, or workflow automation systems Ability to collaborate cross-functionally and translate complex operational workflows into technical solutions Strong communication, documentation, and stakeholder management skills Bonus: experience with observability tools, Terraform, Slack apps, or regulated environments involving sensitive data (e.g., healthcare or PHI) Benefits Competitive salary with annual bonus eligibility Equity grants as part of long-term incentive compensation Remote-first work environment within the United States Flexible time off to support rest, recovery, and personal balance Comprehensive health, dental, and vision insurance with strong employer contributions 401(k) retirement savings plan Lifestyle Spending Account (LSA) for wellness, learning, and personal development Mental health and wellbeing support resources Generous parental leave policy Opportunity to work on cutting-edge AI systems shaping the future of software development.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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