Technical Lead - .NET Core + React Microservices

TechDigital Group; Minneapolis (MN); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled technical lead to guide a team of developers in delivering high-quality software solutions. This role involves providing technical mentorship, conducting thorough code reviews, and ensuring adherence to best practices in software development. The ideal candidate will have extensive experience with .NET technologies, Azure services, and microservices architecture. Join a forward-thinking company that values innovation and collaboration, where your expertise will contribute to the success of complex projects and drive the technical capabilities of your team.

Qualifications

• 5+ years of experience with .NET Core, C#, and SQL Server.
• Strong background in Azure services and microservices architecture.

Responsibilities

• Provide technical guidance to developers and enhance their productivity.
• Conduct code reviews and ensure quality assurance processes.

Skills

.NET Core 6+

C#

Web API

SQL Server

React JS

Node.js

Azure

RabbitMQ

Elasticsearch

Microsoft Identity

Tools

Azure Service Bus

Azure Kubernetes

Terraform

Azure Redis

Azure Cognitive Services

GitHub

GitHub Actions

Microservice Architecture

Job description

Build and ship production agentic AI features — agents, tools, prompts, evals, and integrations — against an established reference architecture.

Required Qualifications:

• 3–8 years of experience in software development or data engineering
• Hands-on experience in Generative AI or LLM-based applications
• Experience building APIs, microservices, or distributed systems
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field

Key roles:
• Implement agents and sub-agents (planner, executor, critic, router) using Claude Agent SDK / Lang Graph
• Build tools and MCP integrations, design clean tool schemas, idempotent operations, and robust error handling.
• Implement RAG pipelines: ingestion, chunking, embedding (Bedrock Titan), hybrid retrieval, citation rendering.
• Develop Fast API/Python services exposing agent capabilities (sync + streaming); integrate with SQL (Postgres) and object stores (S3).
• Write evaluation harnesses (golden sets, regression suites, LLM-as-judge) and trace/observe agent runs.
• Implement guardrails: input/output validation, schema enforcement, rate limiting, prompt-injection defenses.
• Participate in code reviews, pairing, and architecture discussions; own quality of the code you ship.
• Strong Python (FastAPI, async, Pydantic) or Node/TypeScript equivalent.
• Hands-on with at least one agent framework (Claude Agent SDK / Lang Graph / AutoGen).
• Practical experience with LLM tool/function calling, structured outputs, streaming.
• RAG implementation experience (pgvector / FAISS / OpenSearch).
•Git, CI/CD, containerization (Docker), and cloud basics (AWS preferred).

Roles/Responsibilities:
• Implement single-agent and multi-agent systems using frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or similar
• Build applications using LLMs (Azure OpenAI, OpenAI, Anthropic, etc.)
• Implement Retrieval-Augmented Generation (RAG) pipelines
• Enable agents to coordinate and collaborate in multi-agent ecosystems
• Build secure, scalable APIs and microservices to support AI agents
• Develop evaluation frameworks for agent performance (accuracy, hallucination detection, response quality)
• Monitor system behavior and continuously improve reliability
• Optimize performance for latency, cost, and scalability