Software EngineerWe're looking for a strong Software Engineer with hands-on AWS experience who can contribute across both traditional application development and emerging AI capabilities. Early work will be POC-heavy around chatbots and LLM-based features, but you'll also be doing real, day-to-day development work. We need someone versatile who can move between both worlds without getting siloed.What You'll Be DoingBuild and maintain applications in.NET within an AWS environmentDevelop proof-of-concepts around chatbot, agentic AI, and LLM use cases, then iterate toward production-ready featuresCreate LLM-based objects and integrations using AWS Bedrock and its available tooling (agents, knowledge bases, model invocation)Design and build tools and features that support chatbot functionality — conversation flows, tool/function calling, and integration with existing enterprise systemsWrite production-quality code — clean APIs, automated testing, CI/CD pipelines, and maintainable architectureCollaborate across teams — work with business stakeholders to understand what's realistic with GenAI, and with engineering teams to deliver itPrototype fast, then harden — move from quick experiments to reliable, deployed featuresHelp establish patterns for prompt engineering, orchestration, and evaluation as AI capabilities mature across the teamWork with business teams to understand what they need from GenAI, help figure out what's realistic, and map out how to build it.Build and own chatbot and agentic AI solutionEvaluate and select the right models for the job based on latency, cost, data privacy needs, and output quality.
Stay current on what's available across providers.Set up and maintain LLMOps workflows — deployment pipelines, monitoring, prompt versioning, evaluation frameworks, incident response, and cost tracking across environments.Work with security, privacy, and compliance teams to make sure everything meets enterprise standards (HIPAA, GDPR, internal policies, etc.).Help level up other engineers through pairing, code reviews, and design sessions. Set clear patterns for prompt engineering, orchestration frameworks (LangChain, Semantic Kernel, etc.), and evaluation-driven development.Write and maintain engineering standards for GenAI work — coding standards, prompt/policy guidelines, evaluation gates, and release checklists.Communicate technical decisions and trade-offs clearly to both engineers and non-technical stakeholders.RequirementsStrong.NET or Python development background — requiredHands-on AWS experience with Bedrock5+ years in software engineering with solid experience building and shipping production applicationsExperience or strong familiarity with LLMs, chatbot frameworks, and agentic AI patternsComfortable with Python alongside.NET for AI/ML-related workSolid skills in API design, secure integrations, automated testing, and CI/CD pipelinesExperience with or exposure to RAG pipelines — embeddings, vector databases (FAISS, Pinecone, OpenSearch), and retrieval tuningAble to context-switch between standard feature development and AI prototyping without losing momentumGood communicator — can explain technical trade-offs in plain language to both engineers and business stakeholdersComfortable working in Agile with cross-functional teams