Application Engineer, AI/ML

🏢 Summary: Senior Mechanical Engineer role focused on designing, prototyping, and refining industrial CT scanning systems across motion systems, structures, and system integration. The position involves leading mechanical design for complex assemblies, collaborating cross-functionally, and supporting products through the full lifecycle from concept to mass manufacturing. This is a hands-on, in-person role based in Cambridge, MA. 🗂️ Requirements: Bachelor's or master's degree, Multiple years of relevant mechanical engineering experience, Experience with complex mechanical assemblies and subsystems, Ability to solve ambiguous and open-ended engineering problems, Hands-on prototyping experience, Cross-functional collaboration skills, Experience supporting products through full product lifecycle, Ability to communicate technical requirements effectively, Mentoring and leadership capabilities 📃 Skills: CAD, CT, Manufacturing, Prototyping, Automation, Instrumentation, AI, Firmware, Hardware, Motion, Systems, Mechanical 🏢 Description: About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, enabling rapid non-destructive inspection of essential components. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, making advanced manufacturing technology more accessible. About the role: The Hardware Group is looking for a Senior Mechanical Engineer to help design, prototype, and refine the next generation of industrial CT scanning systems. You’ll work across disciplines — from motion systems and structures to system integration and user-facing features — to develop reliable, manufacturable, and innovative solutions. Our product is a complex hardware-software system. Success in this role requires systems thinking, hands-on prototyping, and the ability to bring structure to ambiguous design problems. You’ll collaborate with electrical, firmware, systems, and software engineers to create hardware that’s functional and user-friendly. This is a hands-on, in-person role based in our Cambridge, MA office. What you'll do: - Lead the technical aspects of mechanical design for complex assemblies and subsystems - Develop well-scoped milestones to deliver quarter-scale goals - Support products through the full lifecycle from concept and design to engineering builds and transfer to mass manufacturing - Accelerate project timelines by making informed technical tradeoffs - Translate business goals into executable technical solutions - Drive cross-functional collaboration with stakeholders - Mentor junior engineers and support their development About you: - Able to identify solutions to ambiguous and under-defined problems - Resilient and adaptable throughout project execution - Strong communication and coordination skills across teams - Understand short- and long-term impacts of technology decisions - Demonstrate engineering excellence and leadership - Enthusiastic about using AI tools to improve quality and speed - Bachelor's or master's degree with multiple years of relevant experience Bonus points: - Experience leading projects through full product lifecycle into mass production - Experience designing motion systems, precision mechanisms, or imaging system mounts - Background in industrial automation, inspection, or scientific instrumentation - Portfolio of mechanical designs, prototypes, or shipped products Benefits: - Competitive cash and equity compensation - Health and wellness stipend - 401k - Parental leave - Flexible PTO - Commuter benefits - Company-wide events

🏢 Summary: Offer for an AI/ML Engineer to design and deploy end-to-end AI solutions in industrial environments, focusing on Computer Vision 2D/3D, sensor data analysis, and Physical AI. The role involves building production-ready models, implementing MLOps practices, and validating solutions with robots, cameras, and sensors. It targets practical AI deployments with real impact on physical systems. 🗂️ Requirements: Higher education in Computer Science, AI/ML, Mathematics, Physics, Robotics or related field, Minimum 2 years of commercial experience in AI/ML, Experience deploying ML models to production environments, Very good knowledge of Python, Experience with Deep Learning frameworks, Experience in Computer Vision 2D/3D, Experience in time-series analysis, Knowledge of Git and Docker, Experience with MLOps tools, Ability to use AI coding assistants, English level B2 or higher 📃 Skills: Python, NumPy, pandas, scikit-learn, PyTorch, TensorFlow, ComputerVision, TimeSeries, Git, Docker, MLflow, DVC, W&B, ONNX, Jetson, ROS, ROS2 🏢 Description: Poszukujemy AI/ML Engineera do rozwijania nowoczesnych rozwiązań z obszaru Computer Vision, analizy danych z czujników oraz Physical AI. Zakres obowiązków: Projektowanie i rozwój end-to-end pipeline'ów AI/ML. Budowa i rozwój modeli Computer Vision 2D/3D (skany 3D, point clouds). Tworzenie modeli time-series do analizy sygnałów z czujników (siła, akcelerometr). Wdrażanie rozwiązań anomaly detection oraz rozpoznawania geometrii detali. MLOps: wersjonowanie, CI/CD, monitoring modeli produkcyjnych. Testowanie rozwiązań na stanowiskach z robotami, kamerami i czujnikami. Współpraca z zespołem technicznym oraz dokumentacja projektowa. Wymagania: Wykształcenie wyższe (informatyka, AI/ML, matematyka, fizyka, automatyka i robotyka lub pokrewne). Minimum 2 lata doświadczenia komercyjnego w AI/ML. Doświadczenie we wdrażaniu modeli do środowiska produkcyjnego. Bardzo dobra znajomość Python (NumPy, pandas, scikit-learn). Deep Learning (PyTorch lub TensorFlow). Computer Vision 2D/3D oraz analiza szeregów czasowych. Znajomość Git, Docker oraz narzędzi MLOps (MLflow, DVC, W&B). Umiejętność pracy z narzędziami AI wspierającymi programowanie (Cursor, Codex, Claude Code). Samodzielność, inicjatywa i nastawienie na praktyczne wdrożenia. Język angielski na poziomie min. B2. Mile widziane: Doświadczenie z point clouds, anomaly detection i DoE. Edge deployment (ONNX, Jetson), ROS/ROS2. Praca z czujnikami force-torque. Doświadczenie w projektach startupowych lub B+R. Znajomość Foundation Models for Robotics (VLA). Publikacje naukowe lub doktorat. Jeśli chcesz rozwijać rozwiązania AI działające w rzeczywistym środowisku przemysłowym i mieć realny wpływ na produkt – zapraszamy do aplikowania.

🏢 Summary: Systems Software Engineer role focused on developing high-performance application software and firmware for in-line CT scanning systems, working with embedded Linux and hardware integrations to deliver production-grade data acquisition and image processing solutions. The position involves scaling embedded devices and architecting robust, configurable systems for manufacturing environments. 🗂️ Requirements: 3+ years experience in low-level high-performance software development, Proficiency in Python and C, Experience shipping applications on embedded Linux, Experience configuring udev systemd and kernel schedulers, Hands-on hardware integration using vendor SDKs, Proficiency with Python concurrency models asyncio threading multiprocessing, Strong knowledge of debuggers profilers and performance optimization, Ability to design integrate and test systems from datasheets, Bachelor's degree in Engineering or related field, Legal authorization to work in the United States 📃 Skills: Python, C, Linux, Embedded, udev, systemd, Kernel, asyncio, threading, multiprocessing, CUDA, Jetson, ComputerVision, MachineLearning, React 🏢 Description: About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the role: As a Systems Software Engineer at Lumafield, you will work on the software that powers our next-generation, manufacturing in-line CT scanning products. You'll work on the bleeding edge of X-ray physics, high-speed detectors, image processing, and embedded systems. On a small team working on our newest hardware, you'll bring the skill to extract the highest quality data out of the system and achieve great outcomes for our customers. This role is ideal for candidates who are looking for an opportunity to scale a fleet of embedded devices from hundreds of units to thousands, and introduce production-grade capability to our systems. This role is located in Lumafield’s Cambridge, MA office. What You'll Do: Write performance edge application software to acquire, process, and stream radiograph data Write appliance firmware to maintain tight control loops for scanner peripherals Participate in code reviews, build up testing infrastructure, and help set a high standard for how the team can move fast and maintain high levels of quality. Ship production critical Linux-based applications Architect data acquisition solutions that balance configurability and customizability Collaborate closely with our product, research, hardware, and software development teams to understand requirements and architect solutions About You: 3+ years of experience writing low-level, high-performance software in Python and C; you not only write code, but also understand the performance impact on a specific system. Experience shipping applications with embedded Linux, including configuring core services such as udev, systemd, and kernel schedulers. 3+ years of startup experience – you know the trade-offs between shipping fast and perfecting a design. Hands-on experience integrating new hardware platforms by using vendor SDKs and manuals to write performant, maintainable driver integrations Mastery of software engineering fundamentals including debuggers, profilers, and evaluating trade-offs between different technology choices, and proficiency with Python’s built-in concurrency models (asyncio, threading, and multiprocessing) Able to design, integrate, and test systems by interpreting component and product datasheets. Bachelor's degree in Engineering or related field Bonus Points For: Experience building & shipping high performance hardware-accelerated image processing edge solutions using NVIDIA CUDA and/or Jetson platform Experience with classical computer vision techniques and machine learning CV algorithms Experience with shipping user-facing UIs written in React.js We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building.

🏢 Summary: Hands-on Hardware Systems Engineer role owning end-to-end development of a new class of industrial CT scanners, spanning electrical architecture, embedded firmware, mechanical integration, and system validation. The position involves driving system architecture, building and integrating prototypes, and bringing hardware from concept through production. This is a highly interdisciplinary role focused on full-stack hardware development and system-level decision making. 🗂️ Requirements: Several years of hands-on experience developing complex electro-mechanical or robotics hardware, Experience taking hardware from concept to working prototype, Broad knowledge of mechanical design, electronics, and embedded programming, Ability to create simple MCAD and ECAD designs independently, Experience with system integration and hardware validation, Legal authorization to work in the United States 📃 Skills: MCAD, ECAD, Firmware, Embedded, PCB, Electronics, MotionControl, Sensors, Actuators, PowerSupplies, Drivers, X-ray, Robotics, Testing, Validation 🏢 Description: About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the Role: The Hardware Group is looking for a Hardware Systems Engineer to join our San Francisco office and own the breadth of hardware development for a new class of industrial CT scanners. You’ll span electrical architecture and design, MCU firmware, and system integration, partnering tightly with other engineering and product teams to bring prototypes from concept through to shipping product. This is a hands-on, highly interdisciplinary role. You will be the hardware generalist closest to the product in San Francisco, collaborating with our team in Cambridge to carry system-level decisions all the way down to boards, firmware, and integrated prototypes. You’ll work alongside a small, fast-moving team that values curiosity, rigor, and system-level thinking. This is a full-time, in-person role based in our Cambridge, MA office. What you'll do: Drive the system architecture. Translate product-level requirements into a clear split across mechanical, electrical, and firmware, and make the buy-vs-build calls on the components that matter. Select and qualify the critical parts (motors, sensors, actuators, motion controllers, power supplies) and own the rationale and tradeoffs. Handle the light CAD yourself: MCAD for brackets, mounts, and fixtures; ECAD for embedded platforms and smaller PCBAs. Build the prototypes. Turn a wrench, pull cables, bring up boards, and bring a pile of parts up to a working integrated system. Write drivers for the peripherals you pull onto the product and land them in the appliance firmware and application stack with the Systems Software team. Own test and validation. Plan it, fixture it, run it, analyze the data, and push corrective actions back into the design. About you: Several years of hands-on experience taking a complex electro-mechanical or robotics product from blank page to working hardware. Breadth of knowledge in mechanical design, electronics, and embedded code. You don’t need to be the best in the room at any of the three, but you’ve done all three on real products. Comfortable enough in MCAD and ECAD to produce your own simple designs without handing them off to a specialist. A tinkerer at heart - you chase ambiguity into the hardware and keep digging until you understand why a system behaves the way it does. Bonus points for: Background in motion control, closed-loop systems, or sensor fusion. Shipped a hardware product from first prototype to production at volume. Experience with X-ray systems or other radiation-emitting equipment. We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building.

🏢 Summary: The role focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.

🏢 Summary: The offer is for a Python (AI/ML) Engineer responsible for developing and deploying AI-driven business applications in the Azure cloud environment. The role focuses on building, optimizing and operationalizing AI/ML and LLM-based solutions, including APIs and microservices, with strong emphasis on code quality, testing and DevOps practices. It involves working with Azure AI services to deliver secure, scalable production-ready systems. 🗂️ Requirements: Hands-on experience with Azure AI/ML services (Azure OpenAI, Azure Machine Learning, Cognitive Services), Strong Python experience in AI/ML development, Experience deploying AI models using Docker, Kubernetes and AKS, Experience with CI/CD pipelines and DevOps practices in Azure, Experience building and maintaining RESTful APIs and microservices, Knowledge of Generative AI, LLM and ML, Ability to write and maintain unit tests with high test coverage, English proficiency at minimum B2 level 📃 Skills: Python, Azure, AzureOpenAI, AzureML, CognitiveServices, Docker, Kubernetes, AKS, CI/CD, DevOps, REST, Microservices, LLM, GenerativeAI, ML, NLP 🏢 Description: Wspólnie z naszym Partnerem, jednym z liderów w branży ubezpieczeniowej, poszukujemy osoby na stanowisko Python (AI/ML) Engineer. Projekt dotyczy rozwoju oraz wdrażania aplikacji biznesowych opartych na sztucznej inteligencji w środowisku chmurowym Azure. 📌 Możliwość pracy zdalnej z okazjonalnymi wizytami w biurze (osoby zamieszkujące w okolicy Warszawy/Gdańska - preferowana hybryda raz na tydzień/dwa w biurze) 💡 TWOJA ROLA: Pisanie i utrzymanie testów jednostkowych, zapewnienie odpowiedniego pokrycia testami oraz stosowanie najlepszych praktyk programistycznych (czysty kod, utrzymywalność i optymalizacja wydajności).Tworzenie, rozwijanie i wdrażanie aplikacji opartych na AI/ML z wykorzystaniem usług Azure. Rozwijanie i optymalizowanie rozwiązań opartych na Dużych Modelach Językowych (LLM) dostosowanych do rzeczywistych przypadków biznesowych. Rozwój API i mikroserwisów: Budowanie i utrzymanie API oraz mikroserwisów służących do efektywnego dostarczania rozwiązań AI/ML klientom. Zapewnienie, że wszystkie rozwiązania AI spełniają standardy bezpieczeństwa, wytwarzania oprogramowania i zarządzania. Usprawnianie operacjonalizacji modeli oraz rozwój backendu do inferowania modeli. 🔍 CZEGO OCZEKUJEMY OD CIEBIE? Praktyczne doświadczenie z usługami Azure AI/ML, w tym Azure OpenAI, Azure Machine Learning i Cognitive Services. Znajomość Docker, Kubernetes oraz Azure Kubernetes Service (AKS) w kontekście wdrażania modeli AI. Solidna znajomość pipeline'ów CI/CD oraz najlepszych praktyk DevOps w środowisku Azure. Biegła znajomość języka angielskiego w mowie i piśmie, minimum na poziomie B2. Doświadczenie w tworzeniu i utrzymaniu RESTful API oraz mikroserwisów. Znajomość Generatywnej AI, LLM, ML oraz (opcjonalnie) technologii NLP. Zaawansowana znajomość języka Python w kontekście rozwoju AI/ML. Mile widziane: Praktyczne doświadczenie w zakresie środków bezpieczeństwa AI i zarządzania modelami. Znajomość inżynierii promptów oraz strategii orkiestracji LLM. Doświadczenie w pracy z bazami danych wektorowych. ✨ OFERUJEMY: 🤖 Nowoczesny proces rekrutacji z AI Rekruterem (AIR) – podczas aplikacji możesz odbyć rozmowę z wirtualnym rekruterem 24/7, bez czekania na telefon, z natychmiastowym feedbackiem i możliwością powtórzenia rozmowy (liczy się ostatnia wersja). Finalną decyzję zawsze podejmuje Rekruter Connectis. Możliwość pracy zdalnej z okazjonalnymi wizytami w biurze (osoby zamieszkujące w okolicy Warszawy/Gdańska - preferowana hybryda raz na tydzień/dwa w biurze) Możliwość uczestnictwa w spotkaniach integracyjnych oraz meetupach technologicznych, umożliwiających dzielenie się wiedzą i doświadczeniem. Wsparcie dedykowanej osoby kontaktowej z Connectis, dostępnej w celu pomocy w sprawach związanych z projektem. Pracę w zespole ekspertów, w środowisku sprzyjającym wymianie wiedzy. 5000 PLN za polecenie znajomych do naszych projektów. Stabilną, długofalową współpracę w oparciu B2B. Proces zdalny. Dziękujemy za wszystkie zgłoszenia. Pragniemy poinformować że skontaktujemy się z wybranymi osobami.

🏢 Summary: The role involves designing, developing, and deploying AI and LLM-based solutions in a cloud environment, with a focus on building and enhancing Data, Analytics, MLOps, and LLMOps platforms. The position covers full lifecycle management of machine learning and language models, including deployment, monitoring, and optimization. The engineer will contribute to data architecture and distributed systems supporting AI-driven products. 🗂️ Requirements: Experience as LLM Engineer or similar AI/Data role, Around 3 years of experience with Python, Experience building Data, Analytics, MLOps or LLMOps platforms in cloud environments, Experience with Azure cloud, Knowledge of full ML model lifecycle management in cloud, Experience with Big Data open-source tools: Kafka, Airflow, Presto, Spark, Experience in database design and data modeling, Experience working with distributed systems 📃 Skills: Python, Azure, LLM, AI, MLOps, LLMOps, Kafka, Airflow, Presto, Spark, SQL, BigData 🏢 Description: Dla naszego klienta, innowacyjnej firmy z branży ubezpieczeniowej, poszukujemy : AI / LLM Engineera Zakres obowiązków: Projektowanie, rozwój i wdrażanie rozwiązań opartych o LLM oraz technologie AI w środowisku chmurowym, Tworzenie i rozwój komponentów wspierających budowę nowoczesnych platform Data / Analytics / MLOps / LLMOps, Zarządzanie cyklem życia modeli machine learningowych i rozwiązań opartych o modele językowe, w tym ich wdrażaniem, monitorowaniem i optymalizacją, Współpraca przy budowie i doskonaleniu procesów automatyzujących rozwój, testowanie i utrzymanie rozwiązań AI, Współpraca z zespołami Data, Analytics oraz IT w celu zapewnienia spójności architektury i wysokiej jakości dostarczanych rozwiązań, Udział w projektowaniu architektury danych i rozwiązań rozproszonych wspierających rozwój produktów opartych o AI. Wymagania Doświadczenie na stanowisku LLM Engineer lub w zbliżonej roli z obszaru danych i AI, Około 3 lata doświadczenia z Pythonem, Doświadczenie w tworzeniu i rozwijaniu platform z obszaru Data, Analytics, MLOps lub LLMOps w środowisku chmurowym, preferencyjnie Azure, Znajomość zagadnień związanych z pełnym cyklem życia modeli machine learningowych, w tym ich wdrażaniem, utrzymaniem oraz monitoringiem w środowisku chmurowym, Doświadczenie w pracy z narzędziami open source wykorzystywanymi w ekosystemie Big Data, takimi jak Kafka, Airflow, Presto, Spark, Doświadczenie w projektowaniu baz danych, modelowaniu danych oraz pracy z systemami rozproszonymi, Samodzielność, inicjatywa oraz umiejętność efektywnej pracy w zespole. Pracodawca oferuje: Zatrudnienie w oparciu o umowę o pracę lub B2B, Atrakcyjne wynagrodzenie, Pracę w trybie hybrydowym lub zdalnym, Elastyczne godziny rozpoczęcia pracy, Pracę w zespole rozwijającym innowacje cyfrowe w obszarze ubezpieczeń, Realną autonomię i wpływ na kierunek rozwoju platformy oraz rozwiązań biznesowych, Dostęp do nowoczesnych narzędzi i rozwiązań cloud-native, Obszerny pakiet benefitów pozapłacowych: prywatna opieka medyczna, karta sportowa, dofinansowanie do szkoleń/studiów/kursów językowych, Zniżki na produkty własne.

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready datasets for PBM and care navigation operations. The position involves developing dbt-based data models, optimizing cloud data platforms, implementing data quality frameworks, and enabling AI-assisted analytics capabilities. Candidates will collaborate cross-functionally to deliver reliable, maintainable, and auditable data solutions in a modern analytics environment. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows using Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong problem-solving and analytical skills, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: • Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space • Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence • Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models • Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs • Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability • Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability • Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability • Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability • Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation • Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows WHO YOU ARE: • 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field • Strong experience with dbt and modern analytics engineering best practices (required) • Advanced SQL proficiency and experience developing data transformations and workflows using python • Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles • Experience building and maintaining production-grade data models, data quality tests, and documentation • Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery • Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow, Dagster etc. • Experience working within cloud environments, preferably AWS • Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows • Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as Claude, Claude Skills, Model Context Protocol (MCP) and AI assisted engineering practices • Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions • Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready datasets for PBM and care navigation systems. The position involves developing dbt-based data models, optimizing cloud data warehouses, implementing data quality frameworks, and enabling AI-assisted analytics capabilities. Candidates will collaborate across analytics, engineering, product, and operations teams to support reporting, operational analysis, and self-service business intelligence. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, or data warehousing, Strong dbt expertise, Advanced SQL proficiency, Experience with Python data transformations and workflows, Knowledge of dimensional modeling and scalable data architecture, Experience with production-grade data models and data quality testing, Experience with cloud data warehouses, Experience orchestrating data pipelines, Experience working in AWS environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong analytical and problem-solving skills, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence. Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models. Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs. Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability. Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability. Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability. Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability. Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation. Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows. WHO YOU ARE: 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field. Strong experience with dbt and modern analytics engineering best practices (required). Advanced SQL proficiency and experience developing data transformations and workflows using python. Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles. Experience building and maintaining production-grade data models, data quality tests, and documentation. Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery. Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow., Dagster etc. Experience working within cloud environments, preferably AWS. Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows. Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as claude, claude skills, Model Context Protocol (MCP) and AI assisted engineering practices. Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions. Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders. COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity Compensation offered will be determined by geographic location, experience, and qualifications.CYBERSECURITY AWARENESS NOTICE In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), Rightway wants to inform potential candidates that we will only contact them from the @rightwayhealthcare.com email domain. We will never ask for bank details or deposits of any kind as a condition of employment. ABOUT RIGHTWAY: Rightway is on a mission to harmonize healthcare for everyone, everywhere. Our products guide patients to the best care and medications by inserting clinicians and pharmacists into a patient's care journey through a modern, mobile app. Rightway is a front door to healthcare, giving patients the tools they need along with on-demand access to Rightway health guides, human experts that answer their questions and manage the frustrating parts of healthcare for them. Since its founding in 2017, Rightway has raised over $200mm from investors including Khosla Ventures, Thrive Capital, and Tiger Global. We're headquartered in New York City, with satellite offices in Denver and Dallas. Our clients rely on us to transform the healthcare experience, improve outcomes for their teams, and decrease their healthcare costs. HOW WE LIVE OUR VALUES TO OUR TEAMMATES: We're seeking those with passion for healthcare and relentless devotion to our goal. We need team members that embody our core values: 1) We are human, firstOur humanity binds us together. We bring the same empathetic approach to every individual we engage with, whether it be our members, our clients, or each other. We are all worthy of respect and understanding and we engage in our interactions with care and intention. We honor our stories. We listen to—and hear—each other, we celebrate our differences and similarities, we are present for each other, and we strive for mutual understanding. 2) We redefine what is possibleWe always look beyond the obstacles in front of us to imagine new solutions. We approach our work with inspiration from other industries, other leaders, and other challenges. We use ingenuity and resourcefulness when faced with tough problems. 3) We debate then commitWe believe that a spirit of open discourse is part of a healthy culture. We understand and appreciate different perspectives and we challenge our assumptions. When working toward a decision or a new solution, we actively listen to one another, approach it with a "yes, and" mentality, and assume positive intent. Once a decision is made, we align and champion it as one team. 4) We cultivate gritChanging healthcare doesn't happen overnight. We reflect and learn from challenges and approach the future with a determination to strive for better. In the face of daunting situations, we value persistence. We embrace failure as a stepping stone to future success. On this journey, we seek to act with guts, resilience, initiative, and tenacity. 5) We seek to delightHealthcare is complicated and personal. We work tirelessly to meet the goals of our clients while also delivering the best experience to our members. We recognize that no matter the role or team, we each play a crucial part in our members' care and take that responsibility seriously. When faced with an obstacle, we are kind, respectful, and solution-oriented in our approach. We hold ourselves accountable to our clients and our members' success. Rightway is proud to be an Equal Opportunity Employer that believes in the strength of diverse thought, beliefs, backgrounds, and education. We foster an inclusive culture where differences are celebrated to drive the best business decisions possible. We do not discriminate on any basis protected by applicable law. All employment decisions are based on merit, qualifications, need, and performance.

🏢 Summary: Staff Software Engineer role focused on leading GenAI/ML initiatives within the APM product, driving the design, training, evaluation, and large-scale deployment of models for automated investigations and incident troubleshooting. The position combines deep technical leadership with hands-on model development to deliver production-ready, agentic ML solutions. You will guide cross-functional teams and shape technical direction from concept to production. 🗂️ Requirements: BS/MS/PhD in scientific field or equivalent experience, 10+ years of software engineering experience, Experience as a technical lead, Proven leadership of large-scale GenAI/ML initiatives, Experience in model development and deployment, Experience in model training, fine-tuning, or evaluation, Ability to drive cross-functional technical projects 📃 Skills: Python, GenAI, MachineLearning, LLMs, ModelTraining, FineTuning, ModelDeployment, DistributedTracing, Profiling, APM 🏢 Description: We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production. Build and benchmark GenAI/ML models using state-of-the-art techniques. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience 10+ years of relevant engineering experience, as well as experience acting as a technical lead Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment You have significant experience in model deployment, development, training, fine-tuning, or evaluation Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.