Empeek

About the Project:
It is an innovative MedTech solution designed for real-time cardiac monitoring. This system consists of a wearable chest device that records ECG data and transmits it via Bluetooth to a mobile application every 90 seconds. The data is then processed on the server and analyzed by healthcare professionals to provide life-saving prescriptions and insights.

We are looking for a Senior Embedded Engineer to join our Delivery team on a part-time basis. You will be the technical heart of the hardware-software integration, ensuring the device is reliable, power-efficient, and secure.

What you will do:

• Develop and maintain robust firmware (C/C++) for microcontroller-based devices (Nordic nRF / Silabs);
• Implement and optimize data transmission via BLE, Wi-Fi, and LTE stacks;
• Manage hardware bring-up: testing prototypes, debugging PCB-related issues, and troubleshooting signal integrity;
• Work with RTOS concepts (tasks, interrupts, synchronization) to ensure system stability;
• Integrate peripherals via UART, SPI, I2C, CAN, PWM, and ADC;
• Collaborate with hardware, QA, and product teams, and maintain technical documentation.

What we are looking for:

• 5+ years of commercial experience in Embedded software development;
• Strong knowledge of C/C++ and software design principles;
• Experience with microcontrollers, specifically Nordic (nRF) and Silabs, including Nordic Connect SDK, LTE, and WiFi stacks;
• Solid understanding of RTOS concepts (FreeRTOS, Zephyr, etc.);
• Hands-on experience with embedded interfaces: UART, SPI, I2C, CAN, PWM, ADC;
• Proven experience with AWS IoT Core and cloud integration;
• Deep knowledge of wireless protocols: BLE, Wi-Fi, LoRa, Zigbee;
• Proficiency with debugging tools: JTAG/SWD, oscilloscope, logic analyzer;
• Solid understanding of low-level topics: interrupts, memory management, and bootloaders;
• Experience with Git (knowledge of CI/CD pipelines is a plus);
• Strong Hardware / PCB skills: ability to work closely with the hardware team, read/analyze schematics and PCB layouts;
• Basic understanding of electronics: power supply, signal integrity, filtering, and noise issues;
• Experience with hardware bring-up, board testing, and troubleshooting;
• Working proficiency in English (Intermediate/B1 or higher), ability to read and interpret technical documentation in English (datasheets, reference manuals).

Bonus points for:

• Embedded Linux experience (Yocto / Buildroot);
• Experience with safety/security standards (MISRA, ISO 26262, Secure Boot);
• Knowledge of CI/CD pipelines.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

📌 If you believe this role could be a great match for you, please send your CV — we will review it and get in touch with you if there’s a match.

We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities. You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy.

Key Responsibilities

• Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data.
• Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management.
• Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment.
• Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices.
• Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization.
• Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture.
• Own the performance, reliability, cost optimization, and observability of AI systems in production.
• Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team.

• Proactively identify high-impact opportunities where AI can generate measurable business value.

   

What we are looking for:

• 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering.
• Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments.
• Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases.
• Solid knowledge of Python for ML experimentation, training pipelines, and prototyping.
• Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production.
• Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS.
• Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders.
• Track record of leading complex technical initiatives from design to production deployment.
• Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.

Nice to have:

• Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service).
• Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines.
• Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra.
• Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads.
• Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale.
• Experience with platform modernization or large-scale migration projects in enterprise environments.
• Experience mentoring engineers or leading technical guilds and working groups.
• Contributions to open-source AI/ML projects or published research.

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus 🎁.

We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities. You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy.

What you will do:

• Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data.
• Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management.
• Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment.
• Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices.
• Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization.
• Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture.
• Own the performance, reliability, cost optimization, and observability of AI systems in production.
• Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team.
• Proactively identify high-impact opportunities where AI can generate measurable business value.

What we are looking for:

• 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering.
• Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments.
• Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases.
• Solid knowledge of Python for ML experimentation, training pipelines, and prototyping.
• Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production.
• Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS.
• Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders.
• Track record of leading complex technical initiatives from design to production deployment.
• Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.

Nice to have:

• Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service).
• Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines.
• Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra.
• Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads.
• Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale.
• Experience with platform modernization or large-scale migration projects in enterprise environments.
• Experience mentoring engineers or leading technical guilds and working groups.
• Contributions to open-source AI/ML projects or published research.

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus 🎁.

We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities.

 You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy.

Key Responsibilities

• Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data.
• Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management.
• Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment.
• Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices.
• Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization.
• Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture.
• Own the performance, reliability, cost optimization, and observability of AI systems in production.
• Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team.
• Proactively identify high-impact opportunities where AI can generate measurable business value.

What we are looking for:

• 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering.
• Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments.
• Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases.
• Solid knowledge of Python for ML experimentation, training pipelines, and prototyping.
• Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production.
• Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS.
• Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders.
• Track record of leading complex technical initiatives from design to production deployment.
• Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.

Nice to have:

• Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service).
• Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines.
• Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra.
• Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads.
• Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale.
• Experience with platform modernization or large-scale migration projects in enterprise environments.
• Experience mentoring engineers or leading technical guilds and working groups.
• Contributions to open-source AI/ML projects or published research.

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus 🎁.

Empeek розширює команду і шукає Intern/Junior Sourcer. Ця роль ідеальна для тих, хто хоче застосувати перші знання сорсингу на практиці, навчатися у досвідчених колег і розвиватися разом з компанією.

Ти нам точно підходиш, якщо:

• Вже в темі: пройшов(ла) курси з рекрутингу/сорсингу або вже встиг(ла) посорсити пару місяців і розумієш зсередини весь процес.
• Знаєш, що таке Boolean search і X-Ray, і що це не імена супергероїв з Marvel 🦸‍♂️🦸‍♀️
• Твоєї англійської достатньо, щоб не лякатися профілів на LinkedIn і грамотно написати кандидату (рівень А2-B1 буде як раз).
• Уважний(а) до деталей: не просто скролиш профілі, а бачиш між рядків.
• Грамотно пишеш і вмієш класно формулювати думки.

Чим будеш займатися:

• Шукати таланти всюди: LinkedIn, GitHub та будь-які закутки інтернету.
• Аналізувати профілі.
• Писати кандидатам перші повідомлення.
• Працювати з нашою базою (ATS) і допомагати тримати її в порядку.
• Навчатись — ми допоможемо розібратися в технічних нюансах і складних кейсах.

Чому саме Empeek? ✨

• Ми на ринку понад 10 років та постійно зростаємо (наразі штат 150+ людей).
• Наймаємо як розробників, так і менеджерів, наприклад маркетинг, проєктні менеджери, бізнес аналітики.
• Надаємо інструменти та ресурси для ефективної роботи, щоб ви могли рости та досягати результатів.
• В команді працюють досвідчені рекрутери та сорсер, готові ділитися знаннями та наставництвом.
• Ми робимо продукти зі змістом — складні медичні рішення, де є місце AI та сучасним технологіям.
• У нас ти не просто «закриваєш вакансії», а допомагаєш будувати команду для проєктів.

Що ми пропонуємо:

• Доступ до навчальних можливостей — внутрішнє та зовнішнє навчання, відшкодування витрат на сертифікацію.
• 18 оплачуваних днів відпустки, 10 оплачуваних державних свят та до 10 оплачуваних днів лікарняного.
• До 300$ на рік на курси англійської мови + безплатний клуб розмовної англійської.
• До 180$ на рік на спортивні заходи.
• Наставництво та обмін знаннями.
• Кар’єрні плани та плани розвитку для підтримки вашого професійного зростання.
• Надання нового обладнання та підтримка в питаннях бухгалтерського обліку, якщо це необхідно.
• Конкурентна заробітна плата на рівні ринку з регулярними переглядами.
• Додаткові пільги та компенсації, такі як страховий фонд, подарунки тощо.
• Психологічна безпека та культура підтримки.
• Цінності компанії, які відповідають вашим.
• Соціальна відповідальність — підтримка Збройних сил.

Чекаємо на тебе!