Senior Software Engineer

Job overview and responsibilities

Syensqo 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.

Syensqo has decided to create a startup team, Syensqo.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 Senior AI 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.

The position reports to the Technical Lead. S/he will be responsible for:

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

• Provide hands-on coaching, technical guidance, and structured feedback through code reviews, design sessions, and pair working

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

Goals and deliverables

Specific Knowledge/Experience:

• At least 7 years of experience as a Software Engineer

• 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

• Proficiency in AI-assisted coding practices

• 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

• Strong analytical and problem-solving skills

• Creativity, curiosity and a passion for innovation and technology

Skills and behavioral competencies

• 
  Startup mindset & ownership: proactive, resourceful, bias to action, comfortable with ambiguity, drives ideas to value

• Curiosity & craftsmanship: keeps pace with GenAI/agentic advances; evaluates and integrates what truly works

• Communication & evangelism: explains complex topics clearly to non-technical audiences; runs workshops/demos

• Collaboration & knowledge sharing: reusable components, patterns, docs; uplifts team capabilities

• Responsible AI: builds with security, privacy, and compliance by design

What’s in it for the candidate

Be part of — and contribute to — a once-in-a-lifetime transformation at Syensqo: small, empowered team; direct line of sight to impact; modern Azure stack; autonomy to ship meaningful AI products used across the Group.