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Opportunity to drive the development of cutting-edge quantum microscopes usable and powerful for customers. Team Lead – Quantum Sensing Platform  Salary: €90,000 - €120,000 + VSOPs Location: Munich + hybrid flexibility (1–2 days/week) This role combines technical leadership, product ownership, and team coordination, turning complex hardware into a seamless user experience. You will lead a small software team, oversee delivery of the control and visualization platform, and collaborate with hardware engineers, scientists, and the software architect. The ideal candidate has a strong background in software product development (5+ years), including at least 2 years in a leadership or product ownership role, ideally within microscopy, semiconductor, or medical device environments. We’re looking for someone who understands how to own software delivery, guide a cross-functional team, and balance flexibility (60%) with structure and process (40%). While experience in domains such as real-time systems, multi-sensor technology, or hardware integration is a plus, hands-on coding is not the main focus. Ownership and Direction are.

We’re looking for an AI Engineer to join a fast-moving team in London that’s transforming how property management operates. This isn’t a maintenance role it’s about taking ownership of cutting-edge AI systems from research to production. 🎯 Your first 3–6 months You’ll be driving product–market fit for an AI-driven compliance automation product. Expect hands-on model experimentation, fine-tuning, and deployment, working alongside talented Backend, Frontend, and DevOps teams already in place. 🔥 What comes next From Q1 to Q3, your scope will expand to build and productionise AI features across maintenance and lettings. By month 12, success means: • High adoption of the compliance product with measurable accuracy gains • Core models live in production with real performance impact • You taking the lead on AI direction, moving toward a leadership position within 12–18 months 💡 What you’ll bring • 2–3+ years of hands-on ML/AI experience (LLMs or NLP preferred) • Proven ability to take models from research to production • Solid Python and ML frameworks background • Top-tier academic record Bonus if you’ve worked with property data, PMS integrations, or tools like LangChain or RAG systems. 💰 Why join Competitive pay plus equity. Clear path to technical leadership. Immediate impact on the roadmap. If you feel you are a good fit for this, feel free to respond with your most up to date CV and I’ll be in touch to discuss further.

Are you passionate about building AI systems that make a real impact? Do you enjoy turning research into production-ready solutions? We are looking for an AI & ML Engineer to join a team creating advanced AI/ML applications across fraud prevention, risk management, and operational optimization. You will work on end-to-end ML workflows, including generative and agentic AI solutions, and help scale LLM deployments on GPU clusters using modern MLOps and AIOps practices. 🚀 What you’ll do:Design, develop, and deploy AI/ML applications, including RAG systems and agentic AI workflows 🤖Optimize LLM training and inference across GPU clusters using Kubernetes and AIOps tools ⚡Turn prototypes into production-ready systemsExplore and experiment with cutting-edge AI/ML methods and technologies 🔬Contribute to improving internal practices and workflows for AI operationsMaintain and support AI-related infrastructure and toolsWhat we’re looking for: Must-haves:4+ years of experience building and maintaining ML systems (PhD counts)Strong Python skills 🐍Solid Linux experience 🖥️Experience with complex computational or scientific modelingUnderstanding of MLOps, AIOps, and deploying AI systems in productionNice-to-haves:Hands-on experience with LLMs, RAG systems, or agentic AIFamiliarity with Kubernetes ecosystem (Helm, ArgoCD)Projects or experience with open-source LLM tools (vLLM, llama.cpp, open-webui)Knowledge of parallel or distributed computingExperience with UI frameworks like Streamlit or Svelte for AI prototypesBasic SQL or workflow orchestration (Airflow)

Senior Product Manager (LLMs / AI Agents) $170,000 - $210,000+ (DOE) Boston, MA - Hybrid (2x days per week in-office) We’re partnered with a Series B AI company that’s reimagining how large enterprises deploy intelligent agents in regulated industries. Their platform enables Fortune 500 insurers and financial institutions to safely automate complex, multi-step workflows, from customer interactions to back-office processing, using powerful, enterprise-grade AI agents. As a Senior Product Manager, you’ll take ownership of critical parts of the roadmap shaping the next generation of AI agent technology. You’ll work at the intersection of product, engineering, and customer success, turning ideas into scalable tools that bring transparency, trust, and measurable ROI to enterprise automation. What You’ll DoDefine and deliver product features that help enterprises evaluate, supervise, and continuously improve their AI agents in production.Build intuitive AI-powered dashboards and reporting tools that offer deep visibility into performance, compliance, and customer outcomes.Partner with customers and internal teams to create agent-building experiences that feel seamless. Where configuration, testing, and deployment are guided by real-time AI assistance.Collaborate cross-functionally to launch and scale products that drive measurable value for Fortune 500 clients and high-growth startups alike.What We’re Looking For:4–7 years of relevant technical experience with at least 3 years in a PM role.Proven success shipping enterprise SaaS products, ideally in AI, data, or automation-heavy domains.Strong technical fluency, able to discuss APIs, data models, and system architecture confidently with engineering teams.Excellent communicator and collaborator, capable of influencing technical and executive stakeholders alike.Comfortable in fast-moving, high-growth environments where priorities shift and creativity thrives.Nice to Have:Experience with AI/ML platforms, contact center technology, or enterprise integrations.Previous startup or early-stage experience.Familiarity with regulated industries such as insurance, healthcare, or finance.Background in Computer Science, Engineering, or a related technical field.Apply now or reach out directly to benjamin@deeprec.ai for more details.

Machine Learning Engineer (LLM) $160,000 - $200,000+ (DOE) Boston, 2 days per week in-office We’re working a fast-growing AI company on a mission to automate complex workflows in the financial services sector, starting with insurance. Their technology leverages cutting-edge AI to simplify high-value processes, from multi-turn conversations to full workflow automation. As an ML Engineer within LLMs, you’ll be building and scaling advanced AI systems that power intelligent, multi-agent workflows. You’ll take ownership of designing, fine-tuning, and productionizing large language models, integrating them with backend systems, and optimizing their performance. You’ll collaborate closely with data science, DevOps, and leadership to shape the AI infrastructure that drives the company’s automation solutions. What You’ll Do:Build, fine-tune, and productionize large language model (LLM) pipelines, including PEFT, RLHF, and DPO workflows.Develop APIs, data pipelines, and orchestration systems for multi-agent, multi-turn AI conversations.Integrate models with backend services, including voice orchestration platforms and transcript generation.Optimize model usage and efficiency, transitioning from external APIs to in-house solutions.Collaborate cross-functionally with data scientists, DevOps, and leadership to deliver scalable machine learning solutions. What We’re Looking For:Essential Skills & Experience:Strong proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Hands-on experience fine-tuning LLMs (Hugging Face, PEFT).Familiarity with AWS (especially S3 for model management) and deploying ML models to production.Ability to reason deeply about ML principles, architectures, and design choices.Knowledge of multi-agent orchestration and conversational AI systems.Desirable Skills & Experience:Experience with RLHF or preference optimization.Background in voice AI, speech-to-text, or text-to-speech systems.Exposure to financial services or insurance applications.Familiarity with optimizing models for long-context scenarios. If you’d like to hear more, please apply or get in touch!

Senior Data Scientist – Generative AI About the Company A fast-growing technology firm is transforming how the global insurance market operates by automating complex workflows across sales, servicing, and claims. Starting with cutting-edge voice automation and now expanding into full end-to-end workflow automation, the team is pushing the boundaries of reasoning agents capable of managing the entire spectrum of insurance operations. Location Boston, MA or Berkeley, CA – hybrid schedule (2 days per week in-office) The Role We are seeking an experienced Data Scientist to drive large-scale Generative AI initiatives. You will design and build advanced LLM-powered conversational pipelines and automation systems that reshape how insurance tasks are performed. This is a hands-on, strategic role for someone who can both set a high-level vision and dive into the technical details. - Key ResponsibilitiesDesign, architect, and build GenAI conversation pipelines across chat, voice and SMS using techniques such as multi-agent orchestration and retrieval-augmented generation (RAG).Develop scalable evaluation pipelines to measure the performance of enterprise-grade AI/ML solutions.Work closely with ML engineers to deploy, operate and continually optimize large-scale solutions.Collaborate with product managers to shape user journeys, design feedback loops, and analyse user telemetry.Deliver end-to-end AI/ML product experiences tailored to insurance workflows.- What We’re Looking For5+ years of industry experience delivering ML/AI solutions in production.Proven success in building and scaling GenAI or Agentic AI systems in a professional setting.Ability to think strategically while remaining hands-on with optimisation and implementation.Comfort working in a fast-moving, ambiguous environment and translating complexity into clear action.Strong communication skills for sharing innovations internally and externally.Deep understanding of machine learning algorithms and evaluation frameworks, including:Deep learning frameworksSupervised fine-tuning of LLMsPreference optimisation methods for domain adaptation in LLMsTrack record of applying trustworthy AI/ML practices in collaboration with cross-functional stakeholders.- Compensation and BenefitsCompetitive base salary (range dependent on experience)Meaningful equity participationComprehensive benefits package, including location-specific plan options

Member of Technical Staff (Frontend) - On-site (1 day WFH), Downtown Toronto, Canada | Up to CAD $300K + Equity + BenefitsAbout the Company:Our client is a fast-growing Series A startup backed by leading investors, building next-generation AI video technology. With more than 30 million users and one of the world’s largest Discord communities, they’re enabling content creators everywhere - from Hollywood studios to TikTok influencers - to bring ideas to life through controllable video generation.What We’re Looking For:We’re seeking a frontend engineer who combines solid foundations with the ability to adapt quickly to new technologies. You’ll be responsible for designing and delivering high-quality user experiences in an environment where speed and scale matter.Solid Engineering FoundationsStrong coding skills with the ability to build, refactor, and optimize complex systems. You’ll independently ship user-facing features while working closely with design and product.Exceptional Learning AbilityFrontend frameworks, developer tools, and AI integrations are evolving quickly. We’re looking for someone who thrives on picking up new technologies and finding clarity in ambiguity.Technical Focus AreasNext.js strongly preferred.Swift/iOS and React Native experience are nice-to-haves.Ability to design and scale frontend systems that serve large user bases.Bonus points for projects with significant adoption (apps launched, open-source traction) or a background in gaming/entertainment applications.Candidate Profile:1–3 years of experience post-graduation.University of Waterloo background would be highly valued.Strong problem-solving pedigree - e.g., hackathon wins, Olympiads, competitive programming, or independently launched products.Benefits & Perks:Highly competitive salary (up to CAD $300K) + equity.Health and 100% dental coverage.Relocation subsidies.Complimentary meals, snacks, and a vibrant office culture.5 days per week on-site - immerse yourself in a fast-paced, collaborative startup environment.Interview Process:Introductory call (up to 30 minutes).Technical interview with senior frontend engineers.Conversation with leadership and HR.Rare final follow-up if needed.Call Settings Override To From Record Yes No Always use these settings

Rust Engineering Manager | Remote - USA | Up to $200,000 base.We’re partnering with a rapidly scaling technology company building low-latency systems for real-time audio and video applications. Our client is at a pivotal point in their growth and is hiring a Rust Engineering Manager to lead development on performance-critical infrastructure.This is a high-impact, hands-on leadership role, ideal for someone who thrives at the intersection of systems engineering, signal processing, and technical ownership.What You'll Be Doing:Serve as the in-house Rust expert, leading development of latency-critical featuresDesign and implement real-time AV pipelines using Tokio, gRPC, and GStreamerSet architectural direction and scale systems across a modern cloud stack (AWS, Docker, Kubernetes)Collaborate with product and infrastructure teams to align engineering execution with business objectivesMentor engineers and elevate Rust capabilities across the orgContribute meaningfully to technical roadmap planning and milestone deliveryWhat Success Looks Like (First 3–6 Months):Independently deliver high-priority product milestones in RustTake ownership of low-level AV features and performance optimisationLead technical decision-making and improve cross-team development velocityEstablish yourself as the go-to authority on signal processing and Rust developmentWhat They're Looking For:Experience in backend or systems engineering rolesStrong, production-grade experience with Rust and async runtimes (Tokio)Experience with audio/video signal processing - ideally using GStreamerSolid foundation in cloud-native development using Kubernetes, Docker, and AWSExperience with gRPC, Git-based workflows, and mentoring teams in fast-moving environmentsBonus Points:Experience in AV streaming or real-time media infrastructureContributions to open-source Rust projectsThe Business:Our client is a venture-backed, product-led company operating at the edge of real-time computing and advanced media systems. The team is lean, experienced, and shipping fast - with an emphasis on quality, performance, and solving meaningful technical challenges. This is a rare opportunity to own a core technical function within a company that values engineering leadership and deep expertise.