Senior AI Application Engineer (.NET)

Werelooking for a SeniorAI Engineerwith a .NET backgound to design and deliver secure scalable applications that bring modern AI into enterprise environments.

In this roleyoullapply technologies like LLMs RAG vector search and agentic workflows to improve search automation and decision-making across the business. This is a hands-on role focused on applying modern AI capabilities in practical ways notbuildingor training foundational models from scratch.Werelooking for someone who can turn AI into useful products workflows and internal capabilities that are secure scalable and ready for production while maintaining a .NET backgound.

Youllfit right in ifyourea hands-on engineer who enjoys turning emerging AI capabilities into practical production-grade software.Yourecurious collaborative and comfortable working across experimentation system design and delivery. You know how to pair strong software fundamentals with modern AI tools to build secure scalable solutions that solvereal businessproblems.

Key Responsibilities

• Design and build AI-powered applications that use LLMs to improve user workflows search automation and decision support.

• Develop andoptimizeRAG-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 andestablishstrong evaluation observability and monitoring practices.

Required Qualifications

• Bachelors degree in Computer Science Engineering Artificial Intelligence or a related field or equivalent practical experience.

• Strong programming and system design skills or Java with experience building APIs and cloud-native backend services.

• 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.

Preferred Qualifications

• Experience building AI solutions in enterprise fintech or other regulated environments.

• Familiarity with frameworks such as Semantic KernelLangChainLangGraph 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.

This position willbe located inAtlanta Georgiaand offers the opportunity for a hybrid work environment at least 3 days a week in-office subject to change providing flexibility and accessibility for qualified candidates.