Staff AI Engineer - Architecture skills
Join Shift Technology as a Staff AI Engineer to lead the development of AI-driven platform capabilities in a hybrid work environment.
Posted by employer 1 day ago
First seen on Joblaze 6 hours ago
Last verified on the company career page 6 hours ago
Skills & Technologies
What you'll build
- Build and architect agentic systems
- Bridge AI and production engineering
- Implement next-gen AI standards
- Drive AI quality and LLMOps
- Influence and upskill engineering squads
Must have
- Proven experience building with agentic frameworks
- Practical experience with Model Context Protocol
- High proficiency in Python
- Experience building and scaling backend microservices
- Familiarity with vector databases and event-driven patterns
Nice to have
- Experience with advanced RAG patterns
- Comfortable with containerization
- Experience with CI/CD and testing methodologies
Role intensity
40% coding
AI in the day-to-day
Engineers use AI tools to help review applications for this role.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Staff AI Engineer at Shift Technology will focus on designing, prototyping, and building production-ready AI systems, particularly in agentic workflows and orchestration layers. The position requires expertise in modern AI frameworks, strong backend software engineering skills, and proficiency in Python, with a focus on deploying scalable microservices in Azure. This role is ideal for a senior engineer who enjoys hands-on coding while also mentoring others and influencing architectural strategies. Shift's culture emphasizes innovation and collaboration, drawing from a diverse team to drive advancements in the insurance industry.
Joblaze insights
- Listed today — first seen on Joblaze October 5, 2026. Last confirmed on Shift Technology's careers page October 5, 2026.
Quick facts
- Is the Staff AI Engineer - Architecture skills role remote?
- It's hybrid — Shift Technology expects some on-site time in Paris, France.
- Where is the role based?
- Shift Technology is hiring for this position in Paris, France.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Azure, Bicep, Docker, Kafka, Kubernetes, LangGraph.
- What seniority level is this role?
- Shift Technology targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff AI Engineer - Architecture skills role at Shift Technology.
From the original posting
Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.
Learn more at www.shift-technology.com
ABOUT THE ROLE
At Shift, we are building the next generation of AI-driven platform capabilities. We are looking for an experienced, hands-on Staff AI Engineer to serve as the technical anchor for our AI capabilities; someone who is deeply passionate about building, prototyping, and scaling modern AI/LLM systems, while helping shape our broader AI engineering strategy.
This is a high-impact, high-visibility role for a senior builder who excels at the intersection of cutting-edge AI technologies (Agentic frameworks, LLM orchestration, MCP, GenAI) and production-grade software engineering. You will work directly with data scientists, software engineers, and product leaders to design, prototype, and ship state-of-the-art AI systems into production.
If you are a senior AI engineer looking for the next step in your career -where you can drive architectural strategy and mentor others without giving up hands-on coding and building- this role is for you.
WHAT YOU'LL DO
- Build & Architect Agentic Systems (Hands-On): Lead by doing. Design, prototype, and build production-ready agentic workflows, custom orchestration layers, and tool-calling integrations using modern frameworks.
- Bridge AI & Production Engineering: Move AI prototypes into robust, production-grade microservices on Azure. Ensure AI components are scalable, low-latency, and well-integrated into the broader tech stack.
- Implement Next-Gen AI Standards: Experiment with and integrate emerging paradigms into our production stack, including Model Context Protocol (MCP), advanced RAG patterns, vector pipelines, and structured LLM outputs.
- Drive AI Quality & LLMOps: Establish and implement operational frameworks for experiment tracking, evaluations, prompt engineering, latency optimization, token budget governance, and model observability.
- Influence & Upskill: Act as a technical mentor for agent-focused engineering squads. Lead technical design reviews, set coding standards, and help elevate the team's AI engineering capabilities.
- Stay at the Cutting Edge: Continuously benchmark new models, AI tools, and architectures, translating relevant breakthroughs into practical, value-driving implementations at Shift.
WHAT WE ARE LOOKING FOR
We are seeking a seasoned AI engineer who combines deep, practical expertise in modern GenAI/LLM ecosystems with strong backend software engineering skills.
Deep AI & Agentic Expertise:
- Hands-On Agentic Frameworks: Proven experience building with frameworks like Microsoft Agent Framework, LangGraph, LlamaIndex, OpenAI Agents SDK, or custom orchestration frameworks.
- LLM Patterns & Tooling: Practical experience with Model Context Protocol (MCP), tool/function calling, structured LLM outputs, and complex RAG pipelines (vector retrieval, hybrid search, embeddings).
- LLMOps & Observability: Experience with evaluation frameworks, prompt engineering, tracing, context window optimization, and compute/token governance in production.
Production Engineering & Stack:
- Programming: High proficiency in Python (required for AI ecosystem work) paired with strong experience in OOP.
- Cloud & APIs: Experience building and scaling backend microservices and REST/OpenAPI endpoints in enterprise cloud environments (specifically Azure).
- Data & Events: Familiarity with vector databases, relational databases, and event-driven patterns (e.g., Azure Service Bus, Kafka).
- Engineering Rigor: Comfortable with containerization (Docker, Kubernetes), CI/CD, testing methodologies, and Infrastructure as Code (Terraform or Bicep).
HOW YOU WORK
- Jump in and get things done: You are a proactive builder who loves turning ambitious ideas into working code. You don't wait for permission to solve hard problems.
- Make things simpler: You can break down complex AI concepts and architectures into clear, executable steps for engineers, data scientists, and non-technical partners alike.
- Test & learn new things: You are genuinely obsessed with the fast-moving AI landscape. You constantly experiment with new models, libraries, and papers, and know how to extract real product value from the hype.
- Communicate with impact & help others grow: You lead by example and collaboration, upskilling team members through pair programming, code reviews, and pragmatic design discussions.
#LI-RH1 #LI-REMOTE
To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:
Standard company text repeated across Shift Technology's postings is omitted here.