Performix are hiring a Full Stack Software Engineer

Role Overview:

·        Client is seeking a Senior Full-Stack Software Engineer to join the GenAI Discovery and Prototyping team.

·        This individual will help deliver a major platform upgrade that connects enterprise data pipelines, large language models (LLMs), and rapid application prototypes.

·        This is a true full-stack delivery role.

·        The engineer will build scalable application layers using C# on the back end and React with TypeScript on the front end.

·        A core focus of the position will be designing reliable software solutions that securely ingest, validate, process, and return LLM outputs within an enterprise ecosystem.

·        The ideal candidate has a strong engineering foundation, understands LLMs as statistical tools, and has direct, hands-on experience building applications powered by generative AI.

·        Because this team operates in a fast-paced prototyping environment inside a mature enterprise, the engineer must be comfortable navigating secure data environments, collaborating across multiple staging environments, and adapting quickly as platform requirements evolve.

Key Responsibilities:

·        Full-Stack Development: Design, build, and maintain features across the application stack, utilizing C# for back-end services and React/TypeScript for user-facing interfaces.

·        GenAI Orchestration: Connect enterprise data sources and LLMs with application prototypes.

·        Build robust workflows for validating, parsing, and structured handling of LLM outputs.

·        Modern AI Engineering: Apply modern AI integration concepts, including Model Context Protocol (MCP) and skills-based software integrations.

·        Cloud & Environment Collaboration: Deploy code through automated CI/CD pipelines in Microsoft Azure. Contribute to application logging, monitoring, and basic Infrastructure as Code (IaC) templates.

·        Enterprise Navigation: Work alongside platform and security teams to troubleshoot applications operating within secure enterprise data environments, firewalls, and access control boundaries.

·        Platform Upgrades: Assist in modernizing legacy architectures and migrating workflows toward twelve-factor, cloud-native application designs.

·        Independent Execution: Troubleshoot complex system bugs and technical blockers with minimal daily supervision, driving features from discovery to production-ready status.

Required Qualifications:

·        7+ years of professional software engineering experience in an enterprise or fast-paced product environment.

·        Advanced back-end experience designing and developing scalable web services using C#.

·        Strong front-end experience building interactive, responsive user interfaces using React and TypeScript (within the Node.js ecosystem).

·        Proven production experience building software with LLMs, including direct integration of GenAI models into application workflows or data processing pipelines.

·        Cloud Experience: Hands-on experience developing and deploying applications within Microsoft Azure and utilizing Azure DevOps for CI/CD.

·        Familiarity with Cloud-Native Design: Understanding of twelve-factor application methodologies, container workflows, and standard application monitoring/logging practices.

·        Enterprise Adaptability: Experience working within multi-environment architectures (Dev, QA, Staging, Prod) with complex data governance and firewall constraints.

·        Ability to operate independently, troubleshoot across a broad stack, and pivot quickly as prototyping requirements evolve.

Preferred Qualifications:

·        Experience working in multi-cloud environments (AWS exposure alongside Azure, including AWS EKS).

·        Previous experience working with animal nutrition, complex dietary software, or large-scale formulation platforms.

·        Hands-on experience modernizing legacy application architectures or supporting major platform migrations.

·        Familiarity with enterprise AI security, governance frameworks, and data privacy controls.

Must-Have Skills:

·        C# Back-End Development

·        React & TypeScript Front-End Development

·        Hands-on GenAI / LLM Software Integration (Application side, not just prompt design)

·        Microsoft Azure and Azure DevOps CI/CD pipelines