AI .Net Developer/Engineer

Inabia Software & Consulting

Austin (TX)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Inabia Software & Consulting in Austin, TX seeks a senior software engineer to lead AI-assisted development initiatives, focusing on GenAI toolchains, cloud-native services, and high-volume APIs.

You will own architecture decisions, mentor peers, and implement best practices for AI-assisted coding, testing, and deployment across the SDLC.

Candidates should have strong C#/.NET experience, containerization, CI/CD, and hands-on AI/ML deployment experience in enterprise environments.

Qualifications

  • 7 years of software engineering in C#, .NET/.NET Core, APIs in enterprise environments.
  • 2 years of hands-on AI/ML implementation and deployment.
  • 6 years containers and microservices in cloud ecosystems.
  • 6 years cloud CI/CD experience in production.
  • 2 years with PCF/AWS/GCP cloud platforms.
  • 2 years with MongoDB, Aerospike, PostgreSQL databases.
  • 2 years IT transformations from legacy to distributed apps.
  • Hands-on experience with Large Language Models (GPT-5, Claude, Gemini, PaLM).
  • Bachelor’s degree in CS/SE or related field; strong communication.
  • Execution-focused, collaborative with architects and teams.

Skills

GenAI in SDLC
GitHub Copilot
Claude Code
AI/ML deployment
Containers & Microservices
CI/CD
AWS/GCP/Azure
PostgreSQL
MongoDB
Aerospike
Web Services/APIs
C# / .NET
English communication

Education

Bachelor's degree in Computer Science or related field

Tools

JIRA
Confluence

Job description

Required Qualifications
  • Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC---implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation---while applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected.
  • Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.
  • Applies GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).
  • Demonstrates practical familiarity with GitHub Copilot and/or Claude Code within IDE/CLI-style workflows.
  • Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
  • Education: Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
  • Experience:
    • 7 years of professional software engineering experience in actively developing large-scale software using C#, .NET/.NET Core, ASP.NET, cloud-native development, and Web Services/APIs, supporting high-volume transactions in a highly available, mission-critical environment.
    • 2 years of hands-on experience with AI/ML implementation and production deployment
    • 6 years of experience working with containers and microservices in the cloud.
    • 6 years of experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD).
    • 2 years of experience with Pivotal Cloud Foundry (PCF), or AWS or GCP.
    • 2 years' experience working with databases like MongoDB, Aerospike, and/or PostgreSQL.
  • 2 years Prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB
  • Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM)
  • Domain Expertise:Understanding of broker-dealer capabilities and operations.
  • Communication:Excellent communication skills; proven ability to communicate and lead other engineers in a collaborative environment
  • Execution Focus: Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, Architects, and adjacent teams, etc.
Preferred Qualifications
  • Master's degree in Information Technology, Computer Science, related degree, OR related practical experience
  • Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent)
  • Experience in Financial Services industry
  • Experience in Test Driven Development, QA Automation and Quality mindset and behaviors
  • Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, automated test process
  • Willingness to learn all aspects of tech stack and document
  • Ability to research and document production and test environments along with architecture and design work
  • Knowledge of Agile methodology and experience in an Agile working environment
  • Experience with the Atlassian tool stack (JIRA and Confluence)
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