Contribute to the design and implementation of agentic AI solutions that power Prophix One Intelligence
Build and enhance retrieval-augmented generation (RAG) systems to support financial analysis and decision-making
Develop and integrate AI tools that enable task automation across financial workflows
Implement AI systems that process natural language inputs while maintaining accuracy, reliability, and data integrity
Participate in defining and evolving shared AI architecture, patterns, and best practices
Implement and refine evaluation frameworks to measure and improve LLM performance
Develop scalable AI services using AWS-native technologies
Collaborate closely with other AI engineers, product partners, architects, and LLM Ops to deliver cohesive solutions
Contribute to technical discussions, design reviews, and code reviews within the AI team
Stay current with advancements in AI and apply relevant techniques to real-world financial use cases

Requirements

5+ years of professional software engineering experience, with at least 3 years focused on AI/ML systems
Strong Python development skills, including building production services using FastAPI
Solid experience with retrieval-augmented generation (RAG), vector databases, and embedding-based search
Hands-on experience with LLM platforms such as OpenAI SDK and AWS Bedrock
Experience building agentic AI workflows and integrating tools with LLMs
Knowledge of Text-to-SQL techniques and natural language processing concepts
Experience with AWS services such as Fargate, SQS, and OpenSearch
Familiarity with LLM evaluation techniques (e.g., LLM-as-Judge, automated evaluators)
Experience with LLM observability and monitoring tools (e.g., Langfuse, Datadog)
Strong understanding of system design principles for scalable AI applications
Ability to collaborate effectively within a cross-functional engineering team
Comfort using AI tools responsibly to support tasks such as research, drafting, or data review
Ability to learn new tools and adapt as technology evolves
Curiosity and openness to exploring new approaches
Collaborative mindset when working with teams and technology
Must be legally entitled to work in the country where this role is located.

Benefits

Comprehensive health, dental, vision, and mental-health coverage
Retirement savings with employer contributions
Parental leave top-up
Annual wellness allowance
Generous paid time off including vacation and sick time
Social events, team activities, and opportunities to build community
Opportunities to participate in Environmental, Social, and Governance (ESG) initiatives
Quarterly Town Halls and Kickoffs that bring teams together to celebrate wins, share updates, and look ahead at what’s next

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonFastAPIretrieval-augmented generation (RAG)vector databasesembedding-based searchnatural language processingText-to-SQLLLM platformsAI workflowssystem design principles

Soft Skills

collaborationcuriosityadaptabilitycommunicationteamworkopenness to exploring new approachesresponsibility in using AI toolsproblem-solvingtechnical discussion participationdesign review participation