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Software Engineering Manager | GenAI Position in portugal (remote) - Gympass


Job description

Your wellbeing matters.

Join a company that cares.

GET TO KNOW US

Wellhub (formerly Gympass*) is a corporate wellness platform that connects employees to the best partners for fitness, mindfulness, therapy, nutrition, and sleep, all included in one subscription designed to cost less than each individual partner.

Founded in and headquartered in NYC, we have a growing global team in 11 countries.

At Wellhub, you have the opportunity to build a career in a high-growth tech company that places wellbeing at the foundation of its culture, and contribute to making every company a wellness company.



*Big news: Gympass is now Wellhub! 
We are thrilled to announce our rebranding as Wellhub, marking a significant milestone in our journey.

This transformation reflects our evolution from a “pass for gyms” to a comprehensive employee wellbeing solution.

With our refreshed identity, we are poised to embark on an exciting new chapter of growth and expansion.

We are elevating our offerings, including a completely new app experience and an expanded network of wellbeing partners.

Learn more about it

THE OPPORTUNITY

We are hiring a Software Engineering Manager for our GenAI team in Portugal

Our GenAI team leverages advanced AI technologies to personalize user experiences, streamline operations, and optimize resources, acting as a hub for innovation while enabling Wellhub to harness the full potential of generative AI across multiple domains.

We are looking for a passionate and skilled Lead Software Engineer to join our team and help us build the next generation of AI-powered solutions.

This role focuses on generative AI, Retrieval-Augmented Generation (RAG) + LLMs fine tuning, and API integrations.

Talented Software Engineering Managers of any area who would like to shift their career to invest in AI are welcome to apply if they are a match to some of the qualifications and preferred qualifications listed below.

Such candidates must be avid learners and be prepared to learn fast.

YOUR IMPACT

You will be working on one or more of the following exciting areas:

Generative AI Development:

  • Design, develop, and implement generative AI based applications.
  • Work with large language models (LLMs) to create innovative applications and solutions.
  • Conduct research to stay updated with the latest advancements in generative AI.
  • Retrieval-Augmented Generation (RAG):

  • Develop and optimize RAG systems to enhance the performance and accuracy of AI models.
  • Implement robust data retrieval mechanisms to support RAG frameworks.
  • Collaborate with data engineers to ensure seamless integration of data pipelines.
  • API Development and Integration:

  • Design and develop APIs to interface with various AI models and services.
  • Ensure APIs are secure, scalable, and performant.
  • Ensure seamless integration of our AI applications with other software systems, enhancing interoperability and functionality (e.g., WhatsApp, Slack, Teams, Google Chat, and other 3rd party mobile applications).
  • Collaboration and Communication:

  • Work closely with cross-functional teams including product managers, designers, and other engineers.
  • Participate in code reviews and provide constructive feedback to peers.
  • Communicate technical concepts and project progress effectively to non-technical stakeholders.
  • Live the mission:

  • Inspire and empower others by genuinely caring for your own wellbeing and your colleagues.

    Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.
  • WHO YOU ARE

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field;
  • Strong skills in programming languages such as Python, Go, Java, C or C++;
  • Experienced in working with SQL/NoSQL technologies (e.g., OpenSearch, DynamoDB, PostgreSQL) understanding common use cases and performance pitfalls;
  • Experience with API development and integration;
  • Excellent problem-solving skills and attention to detail;
  • Strong communication (both in English and Portuguese), teamwork and leadership skills;
  • Able to work efficiently on high scalable and distributed projects;
  • Proven experience with projects where the scope is not clearly defined;
  • Faster learner, easily adapting to new technologies quickly and efficiently;
  • Passionate and proven experience to build reliable minimum viable products and pilots in a short amount of time;
  • Experience working with modern agile product development teams;
  • Keen on helping your team to collaborate within and with other teams;
  • Lead by example and seen by others as an inspiring technical leader.
  • The following are preferred qualifications:

  • PhD degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Proven experience with one or more topics listed in the Responsibilities section.
  • Familiarity with large language models, generative AI frameworks (e.g., Haystack, Langchain, LlamaIndex, HuggingFace, Ollama, AWS Bedrock).
  • Knowledge of retrieval-augmented generation (RAG) and related technologies.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure).
  • Knowledge of data engineering and ETL processes (e.g., Spark, Flink).
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Understanding of natural language processing (NLP) and computer vision.
  • Experience with Kubernetes for containerization and orchestration.
  • We recognize that individuals approach job applications differently.

    We strongly encourage all aspiring applicants to go for it, even if they don't match the job description %.

    We welcome your application and will be delighted to explore if you could be a great fit for our team.

    For this specific role, please note that prior experience in software engineering and AI are mandatory requirements.

    WHAT WE OFFER YOU

    We're a wellness company that is committed to the health and wellbeing of our employees.

    Our benefits include:

    WELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing too.

    Access digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more.

    You will receive the Gold plan at no cost, and other premium plans will be significantly discounted.

    FITNESS: Additional fitness subsidy to access onsite gyms and fitness studios.

    FLEXIBLE WORK: Choose when and where you work.

    For most, this will be a hybrid office/remote structure, but can vary depending on the needs of the role and employee preferences.

    We offer all employees a home office stipend and a monthly flexible work allowance to cover the costs of working from home.

    FLEXIBLE SCHEDULE: We understand that together, Wellhubbers and their leaders can make the best decisions for their own individual scopes.

    This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs.

    PAID TIME OFF: We know how important it is to take time away from work to recharge.

    Employees receive a minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!).

    PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life and we want our employees to take the time to be present and enjoy their growing family.

    We offer % paid parental leave to all new parents and extended maternity leave.

    CAREER GROWTH: Outstanding opportunities for personal and career growth.

    That means we maintain a growth mindset in everything we do and invest deeply in employee development.

    CULTURE: An exciting and supportive environment filled with passionate individuals from all over the world! You’ll partner with global colleagues and share in the success of a high-growth technology company disrupting the health and wellness space.

    Our value-based culture of trust, flexibility, and integrity makes this possible every day.

    Find more info on our ! 

    Diversity, Equity, and Belonging at Wellhub

    We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.

    Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer.

    All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

    Questions on how we treat your personal data?

    See our 

    #LI-REMOTE

    Required Skill Profession

    Computer Occupations


    • Job Details

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Gympass adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Portugal laws and regulations

    What Is the Average Salary Range for Software Engineering Manager | GenAI Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in portugal (remote). Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Software Engineering Manager | GenAI?

    Key qualifications for Software Engineering Manager | GenAI typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Software Engineering Manager | GenAI Job Success

    Gympass interview tips for Software Engineering Manager | GenAI

    Here are some tips to help you prepare for and ace your Software Engineering Manager | GenAI job interview:

    Before the Interview:

    Research: Learn about the Gympass's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Software Engineering Manager | GenAI interview at Gympass, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Gympass's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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