- Company Name
- Saegus
- Job Title
- Consultant·e Développement Fullstack Python & IA - Senior
- Job Description
-
**Job Title**
Senior Fullstack Python & AI Development Consultant
**Role Summary**
Provide end‑to‑end development of internal and client products, from MVP to production scale, integrating AI services. Collaborate with UI/UX teams to deliver modern interfaces, serve as the technical point of contact for clients, and advise on technology choices and best practices in an agile environment.
**Expectations**
* 4–7 years of professional experience in a similar senior developer or consulting role.
* Proven ability to lead technical initiatives, communicate effectively with stakeholders, and deliver high‑quality solutions on schedule.
* Fluent in professional English; comfortable in international, client‑facing settings.
**Key Responsibilities**
1. Design, code, and maintain fullstack applications (frontend + backend).
2. Integrate AI/ML services (e.g., Vertex AI, Azure ML, LangChain, Crew.AI).
3. Work closely with UI/UX designers to implement fluid, modern interfaces.
4. Serve as a technical reference for clients, guiding technology decisions and best‑practice adoption.
5. Analyze client requirements, propose tailored, user‑centric solutions, and translate them into technical specifications.
6. Participate in agile ceremonies, collaborate with cross‑functional teams, and ensure delivery of quality artefacts.
7. Support scaling, deployment, and DevOps practices, ensuring secure, maintainable pipelines.
**Required Skills**
* Front‑end: React.js (Angular optional).
* Back‑end: Python (FastAPI, NestJS, GraphQL), Node.js.
* AI: Pydantic, LangChain/Graph, Crew.AI, Google Vertex AI, Azure ML.
* Databases: MongoDB, PostgreSQL, DGraph or similar graph DBs.
* DevOps: Docker, AWS, Azure, GCP, Terraform, Ansible, OpenStack.
* CI/CD & DevSecOps: GitLab, GitHub.
* Methodology: Agile (Scrum/Kanban).
* Soft skills: strong communication, client‑relationship management, teamwork, leadership, curiosity, continuous learning.
**Required Education & Certifications**
* Bachelor’s (or higher) degree in Computer Science, Software Engineering, or related field.
* Relevant industry certifications (e.g., AWS Certified Developer, Azure Developer Associate, Python or Node.js certification, AI/ML certification) are highly desirable.
* Professional English proficiency.