Senior Fullstack AI Engineer, React, C#

Jobtailor

Austin (TX)

On-site

USD 140,000 - 180,000

Full time

12 days ago

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Job summary

Jobtailor in Austin, TX seeks an experienced software engineer to design and build scalable .NET services and React frontends across Web Shell, Agentic Ecosystem, and Endpoint Observability. You will own event pipelines, ML-assisted features, and enterprise-grade security and reliability.

You will collaborate with EMEA teams, apply AI coding agents in production, and uphold high standards for correctness, security, and maintainability in a fast-paced environment.

Qualifications

8+ years of production software engineering experience.
Strong C#/.NET expertise.
Solid React skills.
Strong foundation in software engineering principles.
Deep expertise in distributed systems, including microservices and messaging.
Experience with SQL databases, non-relational data stores, cloud platforms, containerized deployments, and event-driven or streaming architectures at scale.
Regular use of AI coding agents within production codebases.
Accountability for correctness, security, and maintainability of delivered software.
Experience exposing capabilities to AI systems via tool and function interfaces, structured APIs, MCP servers, or similar model-facing integration patterns.
Understanding of AI model failure modes, including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions.
Effective mitigation strategies for AI model failure modes.
Ability to critically evaluate generated code at scale and reject unsafe outputs.
Ability to use tests, evaluations, and architectural context to ensure reliability.
Excellent English communication skills.
Collaborative mindset for working with teams across EMEA.
Strong interest in shaping AI-native engineering practices.

Responsibilities

Design and build scalable .NET services and React frontends across multiple domains.
Build event, telemetry, and audit pipelines for ingestion, correlation, retention, export, and access control at enterprise scale.
Expose platform capabilities safely to AI systems and third-party agents through MCP tools and typed APIs.
Deliver production features in a microservices codebase with AI coding agents, contract tests, and schema validation.
Debug distributed, partly model-driven systems and build tracing for non-deterministic behavior.
Maintain service-layer context for agents, including API contracts and architectural decisions.
Own performance, scalability, reliability, and AI-assisted cost profiles for shipped services.
Partner with product management and EMEA anchor teams to refine requirements and shape architecture.

Skills

C#/.NET

React

Distributed Systems

SQL

Non-Relational Data Stores

Cloud Platforms

Event-Driven Architecture

AI Coding Agents

Software Engineering Principles

Security & Maintainability

Tools

MCP Tools

Typed APIs

Containerized Deployments

Job description

Design and build scalable .NET services and React frontends across Web Shell, Agentic Ecosystem, and Endpoint Observability domains
Build event, telemetry, and audit pipelines covering ingestion, correlation, retention, export, and access control at enterprise scale
Expose platform capabilities safely to Tia and third-party agents through MCP tools, typed APIs, and tenancy-aware authorization
Deliver production features in a microservices codebase using AI coding agents, contract tests, schema validation, and integration coverage
Debug distributed, partly model-driven systems and build tracing for non-deterministic behavior
Maintain service-layer context for agents, including API contracts, domain vocabulary, architectural decision records, and repository instructions
Own performance, scalability, reliability, and AI-assisted cost profiles for shipped services
Partner with product management and EMEA anchor teams to refine requirements and shape architectural decisions

Requirements

8+ years of production software engineering experience
Strong C#/.NET expertise
Solid React skills
Strong foundation in software engineering principles
Deep expertise in distributed systems, including microservices, messaging, consistency trade-offs, and diagnosing failures in high-load environments
Experience with SQL databases, non-relational data stores, cloud platforms, containerized deployments, and event-driven or streaming architectures at scale
Regular use of AI coding agents within production codebases
Accountability for correctness, security, and maintainability of delivered software
Experience exposing capabilities to AI systems through tool and function interfaces, structured APIs, MCP servers, or similar model-facing integration patterns
Understanding of AI model failure modes, including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions
Effective mitigation strategies for AI model failure modes
Ability to critically evaluate generated code at scale and reject unsafe outputs
Ability to use tests, evaluations, and architectural context to ensure reliability
Excellent English communication skills
Collaborative mindset for working with teams across EMEA
Strong interest in shaping AI-native engineering practices

Core Competencies

Demonstrates extensive experience in designing and building scalable .NET services and React frontends, with a strong focus on distributed systems and microservices architecture. Proficient in utilizing AI coding agents and ensuring software correctness, security, and maintainability in high-load environments.

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