Senior AI Software Engineer - Hybrid Role - RFP-244596-1

Project context

initiated a fundamental transformation and this transformation positioned digital technologies as key drivers to make it happen. It requires us to change the way we operate and leverage the tremendous amount of knowhow, knowledge, structured and unstructured datasets that today exist in the Group.

We have decided to create a startup team, Syensq0o.ai, dedicated to the AI and Generative AI domain. By taking this role, the Senior AI Software Engineer will join this team right at its inception. Its mantra is simple: deliver value, with speed and agility while taking no compromise on cybersecurity, compliance, ethics, guardrails or regulations. S/he will contribute to the growth and development of this startup by maintaining a strong focus on excellence and implementing prioritized solutions in a fast and agile manner.

With a commitment to innovation, excellence and sustainable growth, we are looking for a talented SeniAI Software Engineer to join our team and drive the creation of cutting-edge AI solutions. In our agile and collaborative work environment we have fun to live our motto: advancing humanity.

Experience with workflow orchestration using Apache Airflow and Microsoft Fabric Data Factory pipelines within Microsoft Fabric

Goals and deliverables:

Key Responsibilities:

Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our products.

AI Integration: Implement and integrate AI technologies, such as Generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.

Platform Development: Design, develop, and maintain scalable AI platform features to enable feature teams, while ensuring they are compatible with other services, and APIs.

Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.

Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.

Stay Current: Maintain up-to-date knowledge of industry trends and advancements in AI, machine learning, and cloud services

Specific Knowledge/Experience:

At least 7 years of experience as a Software Engineer

Experience with workflow orchestration using Apache Airflow and Microsoft Fabric Data Factory pipelines within Microsoft Fabric

Proven track record of working in AI products development

Expertise in Python, valuable Java, Scala, C#

Knowledge in microservices, valuable graphQL

Knowledge in DevOps as ADO pipelines, docker and some experience deploying models (MLOps, LLMOps, AIOps)

Knowledge in Data management & data structures such as Json schema, Avro

Experience with workflow orchestration using Apache Airflow and Microsoft Fabric Data Factory pipelines within Microsoft Fabric

Strong understanding of GenAI/AI/ML technologies with knowledge in concepts as AI flow, evaluation, training, scoring, prompting, guardrails and RAG

Experience with Cloud providers as Azure, GCP or AWS

Experience in Agile development methodologies, particularly SCRUM.

Valuable knowledge: distributed architectures, akka concepts, NLP projects, standard methodologies and principles, software patterns

Proficiency in using project management and collaboration tools (e.g., JIRA, Trello)

Strong organizational & time management skills

Cloud certifications is a plus

Fluent in English (proficient in French is a plus).

Strong analytical and problem-solving skills.

Creativity, curiosity and a passion for innovation and technology.

Skills and behavioral competencies:

Provide “Think 10X” on the roadmap to understand where we can leapfrog existing mindset/processes to unlock value and de-risk our strategy.

Act with a hunters mindset.

Excellent leadership and communication skills, with the ability to inspire teams and stakeholders.

Strong at building relationships, setting collective accountability and resolving conflicts at a quick pace.