.Net Developer with AWS
Saxon Global Inc
Job Description:
We'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 Doing
We'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 Doing
- Build and maintain applications in .NET within an AWS environment
- Develop proof-of-concepts around chatbot, agentic AI, and LLM use cases, then iterate toward production-ready features
- Create 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 systems
- Write production-quality code - clean APIs, automated testing, CI/CD pipelines, and maintainable architecture
- Collaborate across teams - work with business stakeholders to understand what's realistic with GenAI, and with engineering teams to deliver it
- Prototype fast, then harden - move from quick experiments to reliable, deployed features
- Help establish patterns for prompt engineering, orchestration, and evaluation as AI capabilities mature across the team
- Work 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 solution
- Evaluate 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.
- Strong .NET or Python development background - required
- Hands-on AWS experience with Bedrock
- 5+ years in software engineering with solid experience building and shipping production applications
- Experience or strong familiarity with LLMs, chatbot frameworks, and agentic AI patterns
- Comfortable with Python alongside .NET for AI/ML-related work
- Solid skills in API design, secure integrations, automated testing, and CI/CD pipelines
- Experience with or exposure to RAG pipelines - embeddings, vector databases (FAISS, Pinecone, OpenSearch), and retrieval tuning
- Able to context-switch between standard feature development and AI prototyping without losing momentum
- Good communicator - can explain technical trade-offs in plain language to both engineers and business stakeholders
- Comfortable working in Agile with cross-functional teams
- BA/BS required (CS, CIS, MIS, or related)
Vacancy posted 4 days ago
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