Responsibilities
- Design and build AI-powered applications that use LLMs to improve user workflows, search, automation, and decision support.
- Develop and optimize RAG-based solutions using enterprise data, embeddings, and vector search to enable relevant, context-aware experiences.
- Integrate AI capabilities through AWS Bedrock or similar platforms, including prompt engineering, guardrails, and safety controls that improve quality and reliability.
- Build conversational and agentic experiences that coordinate tools, functions, and multi-step reasoning, including MCP tools, functions, and server integrations.
- Partner with product, architecture, and engineering teams to deliver scalable, maintainable AI systems and establish strong evaluation, observability, and monitoring practices.
Basic qualifications
- Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
- 5+ years of software engineering experience, including proven experience building AI or LLM-enabled applications in production environments.
- Strong hands-on experience with RAG architectures, embeddings, vector databases, semantic search, and cloud AI platforms such as AWS Bedrock or equivalent.
- Experience designing agentic workflows, integrating MCP tools and servers, and building AI experiences for chat or conversational user interfaces.
- Strong programming and system design skills in one or more modern languages such as C#, Java, Python, or JavaScript/TypeScript, with experience building APIs and cloud-native backend services.
Preferred qualifications
- Experience building AI solutions in enterprise, fintech, or other regulated environments.
- Familiarity with frameworks such as Semantic Kernel, LangChain, LangGraph, Microsoft Agent Framework, or similar orchestration frameworks.
- Experience evaluating and operating AI systems in production, including grounding, relevance, latency, safety, observability, and reusable platform capabilities.
Benefits
- Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
- Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
- Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
- Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
- Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
Tags & focus areas
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