Principal Software & AI Engineer

Acuity Analytics; Austria; On-site; EUR 120,000 - 180,000; Full time

Job summary

Acuity Analytics is seeking a Principal Software & AI Engineer to lead delivery across the lifecycle, from shaping customer solutions to building, deploying, and operating them in production.

You will combine deep fullstack expertise with hands-on AI engineering, drive architectural decisions, mentor engineers, and maintain high standards for security and scalability within a customer-focused environment in Austria.

Qualifications

• Extensive fullstack experience with modern frameworks.
• Proven AI engineering experience with production GenAI & LLMs.
• Strong DevOps and IaC, including CI/CD and cloud readiness.
• Ability to lead customer engagements and shape architectures.

Responsibilities

• Architect and build fullstack applications end to end.
• Design and operationalize Generative AI capabilities in production.
• Lead technical solutions with customers, shaping architectures and estimates.
• Own the DevOps lifecycle including CI/CD and infrastructure as code.
• Set engineering standards and mentor engineers.
• Act as a trusted advisor to clients during pre-sales and discovery.

Skills

Fullstack engineering

AI engineering

DevOps

Azure Cloud

Technical leadership

Stakeholder communication

Tools

Terraform

Bicep

Docker

Kubernetes

Azure

LLMOps

Job description

Overview

We are seeking a Principal Software & AI Engineer to act as a technical leader across the full delivery lifecycle — from shaping solutions with customers to building, deploying, andoperatingthem in production. You combine deepfullstackengineeringexpertisewith hands-on AI engineering capabilities and a strong DevOps foundation. Equally comfortable in front of a whiteboard with a client and deep in a codebase, you translate business problems into robust, scalable architectures,leadby example on technical quality, andmentorengineers across teams. This is a hands-on principal role: you set technical direction, drive solutioning, and remain close to the code.

Key Responsibilities

• Architect and buildfullstackapplications end to end, from modern web frontends through backend services, APIs, and data layers.
• Design, develop, and operationalizeGenerative AI capabilities— including LLM-based solutions, RAG pipelines, prompt and context engineering, model integration, evaluation, and guardrails — and embed them into production applications.
• Leadtechnical solutioningin collaboration with customers: gather requirements, shape architectures, scope and estimate work, and present technical proposals and trade-offs to both technical and business stakeholders.
• Own theDevOpslifecycle — CI/CD, infrastructure-as-code, containerization, orchestration, and observability — ensuring secure, reliable, and repeatable delivery.
• Set and uphold engineering standards across architecture, code quality, testing, and security.
• Mentor and coach engineers, lead technical reviews, and grow capability across the team.
• Act as a trusted technical advisor to clients, supporting pre-sales and discovery alongside delivery.

Required Skills & Experience

• Extensivefullstackengineering experience. The specific stack is open, but you must be highly proficient withmodern frameworkson both frontend (e.g.TypeScriptwithReactorAngular) and backend (e.g.Python, Node.js, Java, or .NET).
• DemonstratedAI engineeringexperience: building and shipping productionGenerative AIsolutions, working with LLMs, embeddings/vector stores, RAG, orchestration frameworks, and model evaluation and monitoring.
• StrongDevOpsbackground: CI/CD, infrastructure-as-code (e.g.Terraform/Bicep),Docker,Kubernetes, and hands-on experience withMicrosoft Azure(mandatory — our primary cloud platform).
• Proventechnical consulting and pre-salesexperience: directly engaging customers, leading solutioning and architecture discussions, supporting discovery and pre-sales, and communicating clearly with both engineers and business stakeholders.
• Track recordoftechnical leadership and mentoringappropriate toa principal-level role.
• Solid grasp of software architecture, design patterns, security, and scalability.

Nice to Have

• Experience withMicrosoft Foundryor comparable AI platforms and tooling.
• Familiarity withadditionalcloud providers alongside Azure, and a broad range of frameworks across the stack.
• Contributions to technical strategy, capability building, or thought leadership.
• Experience withLLMOpspractices for the lifecycle management of Generative AI systems.