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Requirements:
B.Sc in Computer Science, Electrical Engineering or a related field from a well known university (M.sc - advantage).
At least 3 years of industry experience in the development and productization of deep learning algorithms.
At least 3 years of industry experience working on major computer vision problems.
Experience using PyTorch, MxNet, TensorFlow, or similar tools
Experience with large scale data
Comfortable within an unexplored territory, independent and self-motivated.

Requirements:
B.Sc. in Biomedical Engineering, Electrical Engineering, Physics, Computer Science, Biology or a related exact science discipline - Mandatory MBA, masters in engineering management, or equivalent business/management degree - Strong Advantage 5-7 years of proven experience in Product Management within medical device companies - mandatory. Direct experience in the medical aesthetics or Energy-Based Devices (EBD) sector (Laser, RF, Ultrasound) is highly preferred Hands-on proficiency with product roadmap and project management tools (e.g., Jira, Confluence, Product board) to effectively manage engineering capacity and roadmaps Proven experience leading international VOC initiatives, field research, and observing live clinical procedures to map out authentic user workflows Experience defining and monitoring product success metrics, post-launch KPIs, and analyzing product data or field performance data Definitive hand-on experience in authoring PRD & MRD definitions and strategic product lifecycle ownership. Strong track record working with multidisciplinary medical products (Laser, RF, Ultrasound EBDs highly preferred). Proven ability to translate clinical workflows as well as customer workflows into structured technical product requirements. Proven track record of managing complex development roadmaps and commercial prioritization.

Requirements:
* B.Sc. in Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or Physics - Mandatory M.Sc. in Systems Engineering or a related technical discipline - Strong Advantage
* At least 5 years of proven managerial experience leading engineering teams - mandatory
* Proven background as a system Engineer / system Architecture - mandatory
* Direct hands-on experience with professional requirements lifecycle tools (e.g., DOORS, or specialized Jira architecture) to maintain strict medical device traceability
* Experience working on complex multidisciplinary systems (ideally energy-based devices utilizing Laser, RF, or Ultrasound) - required
* Experience in medical device companies or regulated environments - required
* Experience using simulation or modeling tools (e.g., MATLAB, Simulink) to conduct early-stage technical trade-off analyses and feasibility studies before physical integration
* Strong leadership and people management capabilities
* Deep, practical understanding of core systems engineering principles and methodologies
* Ability to see the big picture while maintaining meticulous attention to technical details
* Define and execute the system integration strategy, detailing the step-by-step bring-up plan for early prototypes combining hardware, software, mechanics and optics/energy subsystems
* Excellent cross-functional communication and stakeholder management skills
* Partner heavily with the V&V team lead to review system Requirements Specifications (SRS) for testability, ensuring a seamless handshake between system definition and final validation
* Strong problem-solving and analytical thinking
* Ability to operate in a fast-paced, matrix environment
* High level of ownership and execution

Requirements:
* At least 10 years of experience managing engineering teams, including managing managers- mandatory
* B.Sc. in Electrical Engineering, Mechanical Engineering, Biomedical Engineering
* M.Sc. in Systems Engineering or a related technical discipline - Strong Advantage
* Proven experience leading multidisciplinary teams (mechanics, electronics, NPI) - mandatory
* Relevant engineering background (mechanical or electrical engineering preferred)
* Experience in medical device companies - mandatory
*  Experience working in organizations with commercialized products and familiarity with real-world field issues
*  Strong understanding of medical device regulations and standards
*  Knowledge of quality processes and regulatory requirements
* Ability to lead, influence, and drive performance in a complex, matrixed environment
* Strategic thinking combined with hands-on execution capabilities
* Strong leadership with the ability to manage and develop managers
* Excellent interpersonal and cross-functional communication skills
* Results-driven with a strong sense of ownership
* Ability to thrive in a dynamic, fast-paced, multitasking environment

Requirements:
At least 4 years of hands-on backend software development experience, with a strong track record of designing, shipping, and operating scalable, maintainable production systems.
Proven experience building and operating agentic AI systems in production, including:
Building agentic solutions that actively serve real customers in live production environments.
Designing, implementing, and iterating on multiple Retrieval-Augmented Generation (RAG) techniques.
Constructing evaluation frameworks to continuously measure agent quality, reliability, and failure modes in production.
Experience designing and working with multi-agent architectures, including agent coordination, task decomposition, and clear responsibility boundaries.
Strong communication skills and the ability to work effectively within a highly collaborative, cross-functional environment.
Hands-on experience with AI development assistants such as Cursor is required, as they are part of our day-to-day development workflow.

Requirements:
What are we looking for?
4+ years of experience as a backend software engineer building production systems.
Proficiency in Python, Node.js, or Go, with a strong focus on clean, maintainable code.
Hands-on experience with AWS serverless services (e.g., Lambda, API Gateway, DynamoDB, SQS/SNS) and infrastructure-as-code.
Experience designing API-driven and event-driven systems.
Strong familiarity with AI development assistants (e.g., Cursor, Claude Code) and active usage in day-to-day development workflows.
Solid problem-solving skills and the ability to work independently in a fast-paced startup environment.

Advantage:
‍‍Experience working on fully serverless systems in production.
Experience with CI/CD pipelines, automated testing, and monitoring in production environments.
Strong communication skills and a collaborative mindset.
Familiarity with frontend technologies (e.g., React, basic frontend architecture) - even if backend is your core focus.

Requirements:
5+ years of experience as a machine learning engineer, a data scientist, or an equivalent role. Experience in developing ML / DL / LLM / NLP algorithms.
Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field, with a significant focus on machine learning.
High proficiency in Python.
Excellent understanding of machine learning techniques, algorithms, and methodology.
Experience with common ML toolkits and model/prompt management platforms such as Langfuse.
Experience in data mining and insight drawing from large data sets.
Data-oriented personality, analytical mind, and problem-solving aptitude.
Experience in Constraint programming or Network science - an advantage.
A team player with a can-do attitude, delivery-oriented, and able to thrive in a fast-paced environment.
Experience and knowledge in the NLP domain and SOTA solutions - a plus.

Requirements:
1-3 years overall experience in software development.
Proven experience overseeing end-to-end development and deployment of complex production web applications in highly scalable cloud environments - advantage.
Experience with SaaS, serverless solutions and microservice architecture.
Experience with cloud environments such as AWS/GCP/Azure.
Hands-on experience working with both SQL and NoSQL databases (PostgresSQL - advantage).
Bachelors degree in Computer Science, Computer Engineering, or equivalent experience.
Deep knowledge and proven experience with Python.
Experience with Django Framework- advantage.
Team player who thrives in a fast-paced working environment.

Requirements:
5+ years of hands-on Python development experience

Proven experience building algorithms, optimization logic, or decision systems

Strong software engineering fundamentals, with the ability to design, build, test, debug, and maintain high-quality production systems

Strong SQL and database expertise, including experience with relational and non-relational databases such as Postgres, MongoDB, and Redis

Familiarity with modern cloud and engineering environments, including AWS, Docker, Kubernetes, CI/CD, and Git

Experience working with modern LLM tools, prompt engineering, or LLM-based systems

Experience with monitoring and visualization tools, and comfort working in agile development environments

Strong analytical mindset, high ownership, and a real passion for solving problems and delivering value

Degree in Computer Science and/or Mathematics from a reputable university

Strong Pluses

Experience working with Claude

Experience building or working with agentic systems / AI agents

Experience with Java (Spring / Spring Boot)

Familiarity with search advertising and performance marketing

What We Are Looking For

A strong builder who enjoys solving hard algorithmic problems

Someone who can move between research-style thinking and production implementation

High ownership and startup mindset

Comfortable working in a fast-moving environment with ambitious goals and real product traction

Excited about combining Python, algorithms, data, and the latest AI tools to create a category-defining product

Requirements:
10+ years of software development experience.
AI Prompting and fine tuning:

Proven experience working with LLMs
Writing prompts, optimizing and measuring effectiveness of LLM applications
Engineering Fundamentals:

Strong knowledge of software engineering fundamentals: SOLID, TDD, version control systems (Git, GitHub, GitLab) and workflows, and ability to write production-ready code.
Deep understanding of Computer Science fundamentals: Data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).

Requirements:
BSc in Computer Science or a related degree from a recognized institution, or a strong track record in server-side development with advanced technical skills.
4+ years of experience in software engineering with a demonstrated ability to work on large-scale projects and solve complex technical problems.
Proficiency in one or more modern programming languages such as Python, Kotlin, Java, Go, C#, or equivalent, with the ability to adapt to new tools and technologies.
Knowledge about integration of 3rd party tools using RESTful API and the HTTP protocols.
Experience with working with field teams such as Professional Services an Support.
Strong expertise with distributed systems, cloud-native architecture (e.g. Kubernetes, microservices), and APIs.
Hands-on experience with high-throughput date stores and messaging systems (e.g., Snowflake, PostgresSQL, Elasticsearch, Kafka or Redis).
Experience with cloud platforms such as AWS, Azure, or GCP, with knowledge of best practices for deploying and maintaining cloud-based services.
Strong problem-solving skills, with experience debugging and resolving production issues in complex systems.
A proactive approach to task prioritization and a history of leading technical initiatives from conception to deployment with minimal supervision.
Prior experience working in the cybersecurity industry or working with security-centric data pipelines and protocols is advantage.
Bonus: Experience or familiarity with moden frontend frameworks and an understanding of how frontend applications consume and state-manage complex backend data.

Requirements:
What You Will Need:
8 or more years of professional experience in software engineering, with significant hands-on experience in AI engineering or applied machine learning.
Strong expertise in building AI-powered systems, including LLM-based applications, agents, and orchestration workflows.
Proven experience integrating and operating AI and ML models in production environments.
Proficiency in multiple programming languages, including Python and at least one of the following: .NET, Go, or similar backend languages.
Experience working across diverse technology stacks and product architectures.
Solid understanding of backend system design, APIs, and distributed systems.
Strong experience with databases, including data modeling, performance considerations, and working with both relational and non-relational systems.
Practical experience with DevOps practices, including CI/CD pipelines, containerization, and cloud-based deployment.
Comfort working in cloud environments and modern infrastructure platforms.
Ability to rapidly prototype, iterate, and evolve ideas into production-ready features.
Strong ownership mindset, curiosity, and ability to collaborate across teams.

Nice to Have:
Experience designing and building AI agents for real-world workflows.
Hands-on experience training, fine-tuning, or evaluating machine learning models.
Familiarity with MLOps practices and model lifecycle management.
Experience working in security, cloud platforms, or large-scale SaaS products.
Ability to communicate complex AI concepts clearly to both technical and non-technical audiences.