ai engineer

StaffHost digital

<div>
 
 
 AI Engineer | London (Hybrid &ndash; 2 Days per Week) | Equity Available
 
 
 
 
 
 
 We're partnering with an exceptionally well-funded AI startup that is entering a pivotal stage of growth and innovation. Having successfully secured significant venture backing and built strategic relationships with some of the biggest names in AI, including Anthropic and OpenAI, they're now scaling their engineering team to help shape the next generation of AI-powered products.
 
 
 If you've previously experienced the rapid growth of a startup moving from Seed to Series A or Series A to Series B funding, you'll understand the pace, ownership, and impact that comes with this environment.
 
 
 
 
 
 
 The Opportunity
 
 
 
 As an AI Engineer, you'll play a key role in designing, building, and deploying production-grade AI systems that directly impact thousands of users. You'll work across the full lifecycle, from experimentation and prototyping through to deployment and optimisation, helping turn the latest AI advancements into real-world products.
 
 
 You'll be given the freedom to test new ideas, challenge existing approaches, and contribute to product strategy in a highly collaborative environment where speed and innovation are valued.
 
 
 
 
 
 
 What You'll Be Working On
 
 
 <ul>
 <li>
 Building and deploying AI-powered products and intelligent agent workflows
 </li>
 <li>
 Developing and optimising LLM applications for production environments
 </li>
 <li>
 Designing agentic systems capable of complex reasoning and task execution
 </li>
 <li>
 Experimenting with prompt engineering, context management, evaluation frameworks, and model orchestration
 </li>
 <li>
 Running user experiments and A/B testing to improve model performance and user experience
 </li>
 <li>
 Working closely with Product and Engineering teams to rapidly ship new features
 </li>
 <li>
 Exploring and implementing the latest advancements from OpenAI, Anthropic, and the wider AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Tech Stack &amp; Experience
 
 
 
 Key technologies include:
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript / JavaScript
 </li>
 <li>
 LangGraph
 </li>
 <li>
 LangChain
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Anthropic APIs
 </li>
 <li>
 Vector Databases
 </li>
 <li>
 RAG Architectures
 </li>
 <li>
 Agentic AI Frameworks
 </li>
 <li>
 LLM Evaluation &amp; Observability Tools
 </li>
 <li>
 React (desirable)
 </li>
 <li>
 Cloud Platforms (AWS, GCP or Azure)
 </li>
 </ul>
 
 
 
 
 
 We're Looking For People Who
 
 
 <ul>
 <li>
 Have 4+ years&rsquo; experience building and deploying AI applications into production
 </li>
 <li>
 Have worked with LLMs, AI agents, RAG systems, or generative AI products
 </li>
 <li>
 Thrive in fast-paced startup environments
 </li>
 <li>
 Enjoy solving complex technical challenges with a product-first mindset
 </li>
 <li>
 Are comfortable working with ambiguity and taking ownership
 </li>
 <li>
 Have experience in a high-growth startup that has scaled through Seed &rarr; Series A or Series A &rarr; Series B funding
 </li>
 <li>
 Are passionate about the future of AI and excited by the pace of innovation in the market
 </li>
 </ul>
 
 
 
 
 
 Thank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours.
 
 
</div>

AI Engineer

Avanade

<div>
 
 As an AI Engineer at Avanade, you will design, build, and deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes.
 
 
 
 
 This is a hands-on, client-facing engineering role, combining AI engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions.
 
 
 
 
 
 
 Role Responsibilities
 
 
 <ul>
 <li>
 Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value.
 </li>
 <li>
 Design, develop, and deploy AI agents using the latest Microsoft technologies (including Microsoft Copilot Studio, Azure AI Foundry, and supporting Azure AI and Power Platform services).
 </li>
 <li>
 Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services.
 </li>
 <li>
 Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards.
 </li>
 <li>
 Participate in client workshops, technical discussions, and solution shaping sessions.
 </li>
 <li>
 Support pre-sales activities when required through technical input, solution design, and proof-of-concept development.
 </li>
 <li>
 Develop reusable assets, patterns, and accelerators that strengthen Avanade&rsquo;s AI and automation capabilities.
 </li>
 <li>
 Stay current with emerging Microsoft AI technologies and contribute to internal AI &amp; Data communities of practice.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Experience
 
 
 <ul>
 <li>
 Hands-on experience delivering solutions using Microsoft Copilot Studio.
 </li>
 <li>
 Microsoft certifications in AI, Power Platform, or Azure (desirable).
 </li>
 <li>
 Awareness of governance, security, and responsible AI considerations in enterprise environments.
 </li>
 <li>
 Experience working in consulting or professional services organisations.
 </li>
 <li>
 Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management.
 </li>
 <li>
 Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse).
 </li>
 <li>
 Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills and Experience
 
 
 <ul>
 <li>
 Ability to clearly communicate technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions.
 </li>
 <li>
 Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions.
 </li>
 <li>
 Experience designing and delivering AI-driven or automation solutions in a client-facing environment.
 </li>
 <li>
 Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design.
 </li>
 </ul>
 
 
 
 
 
 Enjoy your career
 
 
 
 Some of the best things about working at Avanade
 
 <ul>
 <li>
 Opportunity to work for
 
 Microsoft&rsquo;s Global Alliance Partner of the Year
 
 (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
 </li>
 <li>
 Access to global
 
 Data &amp; AI communities
 
 , accelerators, and subject‑matter experts
 </li>
 <li>
 The chance to work on complex, high‑impact initiatives across
 
 data governance, analytics, and AI
 
 </li>
 <li>
 Clear and supported career progression across Consultant and Senior Consultant levels
 </li>
 </ul>
 
 
 
 
 Find out more about some of our benefits here.
 
 
 
 
 
 
 A great place to work
 
 
 
 As you bring your skills and abilities to Avanade, you&rsquo;ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You&rsquo;ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It&rsquo;s all here, so take a closer look!
 
 
 
 
 
 We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion &amp; Diversity page.
 
 
 
 
 
 Create a future for our people that focuses on
 
 
 &bull; Expanding your thinking &bull; Experimenting courageously &bull; Learning and pivoting
 
 
 
 
 
 Inspire greatness in our people by
 
 
 &bull; Empowering every voice &bull; Encouraging boldness &bull; Celebrating progress
 
 
 
 
 
 Accelerate the impact of our people by
 
 
 &bull; Amazing the client &bull; Prioritizing what matters &bull; Acting as one
 
 
 
 
 
 
 Learn more
 
 
 
 To learn more about the types of projects our Data Engineering team works on check out these case studies:
 
 <ul>
 <li>
 thyssenkrupp Materials Services uses data to help strike a delicate operational balance
 </li>
 <li>
 What matters to SSE Renewables is innovating for a sustainable future
 </li>
 </ul>
 
 
 
 
 Interested in knowing what&rsquo;s going on inside Avanade? Check out our blogs:
 
 <ul>
 <li>
 Avanade Insights &ndash; exchange ideas that drive tomorrow&rsquo;s innovation
 </li>
 <li>
 Inside Avanade &ndash; explore what life is like working at Avanade
 </li>
 </ul>
</div>

Solve Intelligence

<div>
 At
 
 Solve Intelligence
 
 , we aren&rsquo;t just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company.
 
 
 🏗️ The Role: AI Engineer
 
 
 We are looking for a super-talented engineer to help us build state-of-the-art AI products
 
 extremely fast
 
 . You will lead the development of algorithms that push the envelope of what is possible with LLMs.
 
 
 
 What You&rsquo;ll Own
 
 
 
 <ul>
 <li>
 Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents.
 </li>
 <li>
 SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&amp;D.
 </li>
 <li>
 Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy.
 </li>
 <li>
 Full-Stack Impact: While focused on AI, you&rsquo;ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience.
 
 
 </li>
 </ul>
 💡 About Solve Intelligence
 
 
 We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation.
 
 
 <ul>
 <li>
 Growth: 20-30% MoM revenue growth; selling to 600+ global IP teams (DLA Piper, tech giants, and boutiques).
 </li>
 <li>
 Impact: Users report 50-90% efficiency improvements.
 </li>
 <li>
 Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others.
 
 
 </li>
 </ul>
 👋 Co-Founders &amp; Team
 
 
 You will work directly with a founding team of AI PhDs and elite engineers:
 
 
 <ul>
 <li>
 Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&amp;D, former lead at Magic Carpet AI (acquired).
 </li>
 <li>
 Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute.
 </li>
 <li>
 Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).
 
 
 </li>
 </ul>
 🚀 Who You Are
 
 
 We are a young company of highly motivated "hackers" building at a relentless pace.
 
 
 <ul>
 <li>
 Speed is your default: You want to put things in the hands of customers in days, not months.
 </li>
 <li>
 You are a grinder: You have a strong work ethic and are willing to go the extra mile (long nights/weekends) to achieve excellence.
 </li>
 <li>
 You are an optimist: You thrive in a high-energy, positive environment and take extreme ownership of your outcomes.
 
 
 </li>
 </ul>
 🛠️ What You Bring
 
 
 
 Must-Haves
 
 
 
 <ul>
 <li>
 Expert Python Skills: Deep experience building and shipping AI solutions.
 </li>
 <li>
 Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments.
 </li>
 <li>
 LLM Mastery: Practical experience with prompt engineering and modern LLM architectures.
 </li>
 <li>
 Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React).
 </li>
 <li>
 Clear Communication: Ability to articulate complex technical decisions clearly.
 
 
 </li>
 </ul>
 
 Nice-to-Haves
 
 
 
 <ul>
 <li>
 Publications at top ML conferences (NeurIPS, ICLR, ICML).
 </li>
 <li>
 Familiarity with frameworks like OpenAI Evals.
 </li>
 <li>
 A history of interesting GitHub contributions or "impressively difficult" side projects.
 
 
 </li>
 </ul>
 🎁 What We Offer
 
 
 <ul>
 <li>
 Competitive Salary + Significant Equity: We want you to have true ownership in our success.
 </li>
 <li>
 Growth: Opportunity to work with a world-class team on a genuine rocket ship trajectory.
 </li>
 <li>
 Support: Full visa sponsorship and private medical insurance.
 </li>
 <li>
 The Goods: Free meals and a high-performance office culture in London.
 
 
 </li>
 </ul>
 
 Ready to build the future of AI? Apply now. 🚀
 
 
 
 Compensation Range: $100K - $250K
 
 
</div>

Complexio

<div>Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate &mdash; across people, processes, and systems.
Enterprises have invested heavily in AI platforms, copilots, and data infrastructure &mdash; yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap.
Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works &mdash; every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. 
Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on &mdash; turning organisational knowledge into measurable business outcomes. 
A joint venture between Hafnia and S&iacute;mbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries.
As a Senior AI Engineer with broad expertise, you will be a vital part of our team, developing innovative applications that leverage AI capabilities to enhance user experiences and streamline communication. You will work alongside a talented team of Data Scientists, DevOps, Product Managers, Business Analysts experts and play a key role in designing and implementing specialised AI assistant technology. 
Requirements 
You have<ul><li>
Excellent problem-solving and technical skills.</li><li>
Strong communication and collaboration skills, with the ability to work in a team.</li><li>
Interest and experience in working on early-stage software and a wide range of tasks.</li><li>
Proven experience using technology and how it helped you build a lasting product.</li></ul>
Key Responsibilities<ul><li>
Collaborate with cross-functional teams to develop key features and applications, including product managers, designers, and other engineers.</li><li>
Design, develop, and maintain both front-end and back-end components of web applications, ensuring a seamless user experience.</li><li>
Benchmark, analyze, and optimize web applications for scalability, security, and responsiveness.</li><li>
Troubleshoot and resolve software defects and issues, ensuring high software quality.</li><li>
Participate in code reviews, documentation, and the development of coding standards.</li></ul>
Requirements<ul><li>
Preferred M.Sc or Ph.d degree in Computer Science or a related field.</li><li>
7+ years of experience in Software development</li><li>
Work experience using both compiled languages (Rust, Ocaml, Golang, Java, C#) or dynamic languages (Javascript, Python, Ruby)</li><li>
Experience building web applications or desktop applications technologies such as Electron, tauri, React, Vue.js</li><li>
Familiarity with CI/CD principles and technologies, including experience with GitHub Actions or similar.</li><li>
Experience working with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs.</li><li>
Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP).</li></ul> 

Benefits 
<ul><li>
Experience with graph databases such as neo4js, pinecone or milvious or similar.</li><li>
Experience building native desktop apps.</li><li>
Experience with NLP libraries and frameworks, such as spaCy, or Transformers.</li><li>
Familiarity with machine learning concepts and the ability to work with NLP datase</li></ul></div>

Xelix

<div>
 
 About Us
 
 
 
 At Xelix, we work with some of the world&rsquo;s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate &ndash; moving from manual processes to automated, intelligent workflows.
 
 
 Xelix is a fast-paced scale-up &ndash; things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team
 
 150
 
 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.
 
 
 In this role you&rsquo;ll grow, be challenged and help shape the future of Xelix. If you&rsquo;re excited about building something special with us, we&rsquo;d love to hear from you.
 
 
 
 About The Role
 
 
 
 We are hiring an AI Engineer to join our growing AI Engineering team. You&rsquo;ll design and build production AI systems &mdash; combining machine learning, large language models, and strong engineering &mdash; to solve real problems across documents, email, and financial data.
 
 
 We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level &mdash; focusing on system design, product thinking, and solving complex problems.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 AI Systems &amp; Agents: design and build production AI systems &mdash; including agent-based workflows, tool use, and multi-step reasoning.
 </li>
 <li>
 Model Development &amp; Adaptation: develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches.
 </li>
 <li>
 LLM Platform Work: work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost.
 </li>
 <li>
 Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems.
 </li>
 <li>
 Evaluation &amp; Iteration: design evals, measure performance rigorously, and improve systems using real-world feedback.
 </li>
 <li>
 AI-Assisted Development: use modern AI coding tools to move faster while maintaining high standards.
 </li>
 <li>
 Collaboration: work closely with product and engineering teams to deliver high-impact features.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Experience: 2&ndash;5 years building and shipping ML or AI-powered systems into production.
 </li>
 <li>
 Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments.
 </li>
 <li>
 AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents).
 </li>
 <li>
 Systems Thinking: ability to reason about trade-offs (accuracy, latency, cost, reliability) and design accordingly.
 </li>
 <li>
 Data Skills: SQL, pandas, and experience working with messy real-world data.
 </li>
 <li>
 AI-Native Workflow: comfortable using AI-assisted coding tools effectively.
 </li>
 <li>
 Curiosity &amp; Ownership: proactive in exploring new approaches and improving existing systems.
 </li>
 <li>
 Collaboration: strong cross-functional working style.
 
 
 </li>
 </ul>
 
 What We Offer In Return
 
 
 
 💰 Competitive salary of &pound;65,000 to &pound;75,000 depending on experience
 
 
 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days
 
 
 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office
 
 
 💪 On-site gym and cycle to work scheme
 
 
 🛍️ Employee discount at over 100 retailers
 
 
 🏥 Comprehensive private medical &amp; dental cover with Vitality
 
 
 🍼 Enhanced parental leave pay
 
 
 📚 Learning &amp; development culture &ndash; &pound;1,000 personal annual budget
 
 
 🌍 We&rsquo;re carbon-neutral and are working towards ambitious carbon reduction goals
 
 
 🎯 Lots of team socials &amp; activities
 
 
 ☀️ Annual team retreat
 
 
 
 Want to learn more?
 
 
 
 <ul>
 <li>
 About us
 </li>
 <li>
 Xelix blog
 </li>
 <li>
 Xelix news
 </li>
 <li>
 Xelix glassdoor
 
 
 </li>
 </ul>
 We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
 
 
 If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
 
 
 This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
 
 
 
 Interview Process
 
 
 
 While the exact process may vary slightly depending on the role, our typical interview stages are:
 
 
 <ul>
 <li>
 Introductory Call &ndash; A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
 </li>
 <li>
 Hiring Manager Interview &ndash; A 30&ndash;45 minute Teams meeting to explore your experience and fit for the team.
 </li>
 <li>
 Technical Task or Presentation &ndash; A role-relevant exercise to demonstrate your skills and approach.
 </li>
 <li>
 Final On-site Interview &ndash; An in-person meeting with our senior leadership team and co-founders at our office.
 
 
 </li>
 </ul>
 We strive to make the process clear, efficient, and respectful of your time.
</div>

Miro

<div>
 
 About The Team
 
 
 
 Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront of making that vision a reality. Our teams drive AI-powered innovation across Miro's platform by building robust technical foundations, delightful product features, and intelligent capabilities that transform how users interact with content on the canvas. Whether developing structured widget capabilities that help users visualize and interact with complex information, building AI platform infrastructure, or creating intelligent features that anticipate user needs, our work is foundational to Miro's evolution.
 
 
 
 About The Role
 
 
 
 As an AI Engineer, you'll design and build AI-driven capabilities that enhance how users create, transform, and collaborate on canvas. You'll bridge AI innovation and product delivery - shipping delightful, safe, and reliable experiences that leverage cutting-edge LLMs while maintaining the performance and polish users expect from Miro's collaborative canvas.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, develop, and ship AI-driven capabilities&mdash;including agents, intelligent assistants, context-aware prediction, and generative AI&mdash;using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL
 </li>
 <li>
 Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques&mdash;ensuring reliability, scalability, and maintainability
 </li>
 <li>
 Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers
 </li>
 <li>
 Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques
 </li>
 <li>
 Champion best practices in AI system development&mdash;including evaluations, LLMOps, CI/CD, observability, and ethical AI principles
 </li>
 <li>
 Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift
 </li>
 <li>
 Write clean, well-tested, maintainable code, participating in code reviews and&reg; technical discussions across the stream
 </li>
 <li>
 Troubleshoot and resolve production issues, ensuring high availability and performance
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products&mdash;driving value through features users directly interact with
 </li>
 <li>
 Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders
 </li>
 <li>
 Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc)
 </li>
 <li>
 Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini)
 </li>
 <li>
 Ability to develop high-quality, production-ready code within complex codebases
 </li>
 <li>
 Experience with LLM evaluation frameworks and a track record of building evals that meaningfully inform model selection, prompt iteration, or feature quality.
 </li>
 <li>
 Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks
 </li>
 <li>
 Experience with LLMOps and cloud services (AWS, Azure, Amazon Bedrock, etc.)
 </li>
 <li>
 AI-First Proficiency. We&rsquo;re building for an AI-first future, and we&rsquo;re looking for graduates who aren&rsquo;t just using AI&mdash;they&rsquo;re mastering it. We&rsquo;re excited to meet early-career engineers who have moved beyond simple chat prompts and have truly integrated AI into their development flow. Whether it&rsquo;s using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production, we value the ability to "pilot" these tools to deliver high-quality code at an ambitious pace.
 </li>
 <li>
 Nice-to-have: Experience with rendering technologies like WebGL, Canvas API, or 2D graphics libraries (PixiJS, Skia)
 </li>
 <li>
 Nice-to-have: Real-time technologies experience (WebSocket)
 </li>
 <li>
 Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks
 </li>
 <li>
 Nice-to-have: Multi-modal AI or long-context handling
 </li>
 <li>
 Nice-to-have: ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers
 
 
 </li>
 </ul>
 
 What's In It For You
 
 
 
 We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning &amp; Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.
 
 
 
 Recruiter
 
 
 
 
 About Miro
 
 
 
 Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.
 
 
 We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!
 
 
 
 Check Out More About Life At Miro
 
 
 
 <ul>
 <li>
 Youtube: https://www.youtube.com/@lifeatmiro
 </li>
 <li>
 Blog: https://miro.com/careers/life-at-miro/all/
 </li>
 <li>
 Instagram: https://www.instagram.com/mirohq/
 
 
 </li>
 </ul>
 At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro&rsquo;s mission &mdash;
 
 Empower teams to create the next big thing
 
 &mdash; is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams.
 
 Diversity
 
 invites all talent with different demography, identities and styles
 
 to step in
 
 , and
 
 inclusion
 
 invites them to step
 
 closer together.
 
 Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
 
 
 
 
 Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.
 
 
</div>

<div><h4 class="jobSectionHeader">About the Team</h4>

Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront of making that vision a reality. Our teams drive AI-powered innovation across Miro's platform by building robust technical foundations, delightful product features, and intelligent capabilities that transform how users interact with content on the canvas. Whether developing structured widget capabilities that help users visualize and interact with complex information, building AI platform infrastructure, or creating intelligent features that anticipate user needs, our work is foundational to Miro's evolution.
<h4 class="jobSectionHeader">
About the Role</h4>

As an AI Engineer, you'll design and build AI-driven capabilities that enhance how users create, transform, and collaborate on canvas. You'll bridge AI innovation and product delivery - shipping delightful, safe, and reliable experiences that leverage cutting-edge LLMs while maintaining the performance and polish users expect from Miro's collaborative canvas.
<h4 class="jobSectionHeader">
What you'll do</h4>
<ul><li>Design, develop, and ship AI-driven capabilities&mdash;including agents, intelligent assistants, context-aware prediction, and generative AI&mdash;using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL</li>
<li>Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques&mdash;ensuring reliability, scalability, and maintainability</li>
<li>Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers</li>
<li>Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques</li>
<li>Champion best practices in AI system development&mdash;including evaluations, LLMOps, CI/CD, observability, and ethical AI principles</li>
<li>Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift</li>
<li>Write clean, well-tested, maintainable code, participating in code reviews and&reg; technical discussions across the stream</li>
<li>Troubleshoot and resolve production issues, ensuring high availability and performance</li>
</ul><h4 class="jobSectionHeader">What you'll need</h4>
<ul><li>3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products&mdash;driving value through features users directly interact with</li>
<li>Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders</li>
<li>Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc)</li>
<li>Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini)</li>
<li>Ability to develop high-quality, production-ready code within complex codebases</li>
<li>Experience with LLM evaluation frameworks and a track record of building evals that meaningfully inform model selection, prompt iteration, or feature quality.</li>
<li>Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks</li>
<li>Experience with LLMOps and cloud services (AWS, Azure, Amazon Bedrock, etc.)</li>
<li>AI-First Proficiency. We're building for an AI-first future, and we're looking for graduates who aren't just using AI&mdash;they're mastering it. We're excited to meet early-career engineers who have moved beyond simple chat prompts and have truly integrated AI into their development flow. Whether it's using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production, we value the ability to &quot;pilot&quot; these tools to deliver high-quality code at an ambitious pace.</li>
<li>Nice-to-have: Experience with rendering technologies like WebGL, Canvas API, or 2D graphics libraries (PixiJS, Skia)</li>
<li>Nice-to-have: Real-time technologies experience (WebSocket)</li>
<li>Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks</li>
<li>Nice-to-have: Multi-modal AI or long-context handling</li>
<li>Nice-to-have: ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers</li>
</ul><h4 class="jobSectionHeader">What's in it for you</h4>

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning &amp; Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-JR1<div><h4 class="jobSectionHeader">
About Miro</h4>

Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.

We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!

Check out more about life at Miro:
<ul>
<li>Youtube: https://www.youtube.com/@lifeatmiro</li>
<li>Blog: https://miro.com/careers/life-at-miro/all/</li>
<li>Instagram: https://www.instagram.com/mirohq/</li>
</ul>
At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro's mission &mdash; Empower teams to create the next big thing &mdash; is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in, and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.

Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.</div></div>

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