Staff Backend Software Engineer | GenAI
Lisbon, Portugal
25 days
auto-extracted
views: 0
Staff Backend Software Engineer | GenAI
GET TO KNOW US
Wellhub is a corporate wellness platform connecting you to thousands of fitness and wellness partners with one simple monthly membership. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 offices worldwide. At Wellhub, you not only have the opportunity to build a career in a fast-paced global environment - you'll make well-being universal so everyone can be happy and healthy.
We are hiring a Staff Backend Software Engineer for our GenAI team in Portugal!
Wellhub is a corporate wellness platform connecting you to thousands of fitness and wellness partners with one simple monthly membership. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 offices worldwide. At Wellhub, you not only have the opportunity to build a career in a fast-paced global environment - you'll make well-being universal so everyone can be happy and healthy.
We are hiring a Staff Backend Software Engineer 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 skilledStaff 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 lead software engineers 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
- 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.
Leadership:
- Drive critical projects from the architectural design to implementation.
- Plan and successfully deliver cross team projects.
- Provide estimates on efforts and risks, evaluating technical feasibility on cross-functional high-impact projects.
WHO YOU ARE
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field;
- Strong experience 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;
- 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;
- Strong communication (both in English and Portuguese), teamwork and leadership skills.
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 100%. 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 backend development with a focus on Python and knowledge in Generative AI are mandatory requirements.
We're a wellness company that is committed to the health and well-being 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: At Wellhub, flexibility fosters a happier, healthier, and more productive work environment for everyone. As a Flexible First company, we offer two work model options: flexible hybrid and full remote, and make the office a place for collaboration, community, and team building. The model for this role can be discussed with your recruiter and hiring manager. We offer all employees a home office stipend and a monthly flexible work allowance to help 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 100% 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.
Staff Backend Software Engineer | GenAI
Lisbon, Portugal
25 days
auto-extracted
views: 0
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