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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 eager to make a difference in tech.
The predicted salary is between 36000 - 60000 £ 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 RESTful APIs and backend services through personal projects or contributions to open-source. Having tangible examples of your work can significantly enhance your credibility and make you more appealing to us.
✨Tip Number 4
Prepare to discuss your problem-solving approach and debugging techniques. We value analytical skills, so be ready to share specific examples of challenges you've faced and how you resolved them, particularly in AI-related projects.
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. Mention your experience with OpenAI APIs and your ability to develop intuitive data visualisation tools. Be sure to convey your enthusiasm for contributing to innovative AI-driven solutions.
Showcase Relevant Projects: If you have worked on projects involving AI integrations or developed dashboards using Streamlit or similar frameworks, include these in your application. Provide links to your GitHub or portfolio to demonstrate your coding skills and project outcomes.
Highlight Collaboration Skills: Since the role involves cross-functional collaboration, emphasise your experience working with diverse teams, such as data scientists and UI/UX designers. Share examples of how you’ve successfully collaborated to enhance service quality and user experience.
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 developing RESTful APIs.
✨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 Data Visualisation Skills
Prepare examples of interactive dashboards you've built, especially using frameworks like Streamlit or Plotly. Be ready to explain how these tools enhanced user experience and presented complex AI outputs effectively.
✨Emphasise Collaboration Experience
Discuss your experience working with cross-functional teams, including data scientists and UI/UX designers. Share specific instances where your collaboration led to improved service quality and seamless integration.
