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For Companies At a Glance
- Tasks: Lead the development of backend services for innovative AI projects using Python.
- Company: Join a cutting-edge tech company focused on Generative AI solutions.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, collaborating with talented teams to create impactful solutions.
- Qualifications: 7+ years of Python experience, with skills in API development and AI integration.
- Other info: Ideal for those passionate about AI and looking to make a difference in tech.
The predicted salary is between 48000 - 72000 £ per year.
About the Role:
We are seeking a highly skilled and experienced Python Developer to lead the development of key backend services and integrations for our cutting-edge Generative AI (GenAI) initiatives. In this role, you will be responsible for designing, developing, and maintaining robust, scalable services that seamlessly integrate with OpenAI\’s APIs and other AI tools. Your expertise will help drive innovative AI-driven solutions, enhance user experiences through effective data visualization, and ensure the reliability and performance of our applications.
Key Responsibilities:
Design and Development of Services & APIs:
Architect, develop, and maintain scalable Python-based microservices and RESTful APIs that support AI functionalities and integrations with OpenAI.
Backend Development & Optimization:
Write high-quality, efficient, and reliable Python code for various backend applications, ensuring adherence to best practices, coding standards, and rigorous testing methodologies.
AI & OpenAI Integration:
Collaborate with AI engineers to integrate OpenAI\’s APIs and other AI models into our applications, ensuring smooth data flow and optimal performance.
UI Integration & Data Visualization:
Develop intuitive dashboards and visualization tools using frameworks such as Streamlit or similar, to present AI outputs and analytics effectively to end-users.
Cross-functional Collaboration:
Work closely with data scientists, UI/UX designers, product managers, and other engineering teams to ensure seamless integration, data consistency, and overall service quality.
Required Qualifications:
- Proficiency in Python:
- Extensive experience (7+ years) with Python development, including writing clean, efficient, and maintainable code.
- Service & API Development:
- Proven track record of designing and implementing RESTful APIs and backend services using frameworks like Flask, Django, FastAPI, or similar.
- AI & API Integration Experience:
- Hands-on experience integrating with OpenAI APIs, GPT models, or other AI services, with an understanding of their capabilities and limitations.
- UI & Data Visualization Skills:
- Strong experience in building interactive dashboards, preferably using Streamlit, Plotly, etc, or similar frameworks to visualize complex AI outputs.
- Problem Solving & Debugging:
- Excellent analytical skills with a knack for diagnosing issues and implementing effective solutions.
Preferred Qualifications:
Experience working in AI/ML projects or GenAI initiatives.
Knowledge of cloud platforms such as AWS, GCP, or Azure.
Familiarity with containerization (Docker, Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.
Understanding of data security, privacy, and compliance standards.
Angular
Python Developer - AI employer: Synechron
Contact Detail:
Synechron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - AI
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Python development. Being well-versed in current technologies and frameworks will not only boost your confidence but also demonstrate your passion for the field during discussions.
✨Tip Number 2
Engage with the Python and AI communities online. Participate in forums, attend webinars, or join relevant groups on platforms like LinkedIn. Networking can lead to valuable insights and connections that may help you stand out as a candidate.
✨Tip Number 3
Showcase your experience with OpenAI APIs and similar integrations through personal projects or contributions to open-source. Having tangible examples of your work can significantly enhance your profile and give you an edge over other applicants.
✨Tip Number 4
Prepare to discuss your problem-solving approach and debugging techniques in detail. Be ready to share specific examples of challenges you've faced in past projects and how you overcame them, as this will highlight your analytical skills and practical experience.
We think you need these skills to ace Python Developer - AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience with Python development, particularly in backend services and API integration. Include specific projects where you've used frameworks like Flask or Django, and mention any relevant AI/ML projects.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role. Discuss your experience with OpenAI APIs and your ability to develop scalable microservices. Be sure to convey your enthusiasm for contributing to innovative AI-driven solutions.
Showcase Relevant Projects: If you have worked on projects involving data visualization or AI integrations, include links to your portfolio or GitHub. Highlight any dashboards you've created using Streamlit or similar tools, as this will demonstrate your practical experience.
Prepare for Technical Questions: Anticipate technical questions related to Python coding standards, API development, and AI integrations during the interview process. Brush up on best practices and be ready to discuss your problem-solving approach and debugging techniques.
How to prepare for a job interview at Synechron
✨Showcase Your Python Expertise
Be prepared to discuss your extensive experience with Python. Highlight specific projects where you've written clean, efficient code and mention any frameworks like Flask or Django that you've used in service and API development.
✨Demonstrate AI Integration Knowledge
Familiarise yourself with OpenAI's APIs and be ready to explain how you've integrated them into previous projects. Discuss the challenges you faced and how you overcame them to ensure smooth data flow and optimal performance.
✨Highlight Your UI & Data Visualisation Skills
Prepare examples of interactive dashboards you've built, especially using frameworks like Streamlit or Plotly. Be ready to discuss how these tools helped present complex AI outputs effectively to end-users.
✨Emphasise Cross-Functional Collaboration
Talk about your experience working with diverse teams, including data scientists and UI/UX designers. Share specific instances where collaboration led to improved service quality and seamless integration of services.
