Senior AI Software Engineer
About The Position
We are seeking a high‑agency, AI‑native Software Engineer who is passionate about building real‑world AI systems that deliver measurable business impact. This is not a research or exploratory role focused on theoretical model development. This is a hands‑on engineering role for a builder who thrives on turning ideas into production‑grade solutions at scale. The ideal candidate will: Be energized by taking AI solutions from concept to prototype, through production, and ultimately to scalable deployment Actively experiment with emerging models, frameworks, and agentic architectures to solve complex problems Demonstrate a strong problem‑solving mindset, approaching challenges with creativity, resilience, and a bias toward action Believe AI should enable tangible business outcomes, not just technical novelty Excel in ambiguous environments, moving quickly while maintaining strong engineering discipline and best practices
Requirements
- 8+ years of software engineering experience with increasing technical leadership responsibility
- Hands-on experience building applications with large language models, AI agents, or generative AI services
- Strong experience with agentic patterns (tool use, multi-agent orchestration, MCPs, skills, AI CLI platforms)
- Proficiency with AWS services (Bedrock, Agent Core, Lambda, S3, OpenSearch, or similar)
- Experience with Python, TypeScript, or other languages commonly used in AI/ML development
- Demonstrated ability to lead technical execution — taking initiatives from concept to production
- Strong collaboration skills; able to work across architecture, product, and engineering functions
Nice To Haves
- MLOps — Docker, Kubernetes, ML lifecycle management, model monitoring
- Familiarity with CI/CD pipelines, infrastructure-as-code, and DevOps practices
- System design — distributed systems, API design, scalable architectures
- Experience working with distributed or offshore engineering teams
- Background in financial services or regulated industries
Responsibilities
- Lead development of custom AI agents and agentic patterns using AWS Bedrock and related services
- Own proof-of-concept creation for new AI capabilities and innovation initiatives
- Drive end-to-end delivery of AI use case solutions from design through production
- Serve as senior technical execution lead, providing guidance and code review to engineering team members
- Collaborate with the AI Architect to translate architectural decisions into working implementations
- Evaluate and integrate emerging AI tools, frameworks, and patterns
- Contribute to reusable agent patterns, skills, and libraries used across engineering teams
Benefits
- Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don’t accrue a bank of time off under FTO and there is no set number of days provided.
- Pension Eligible
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
