Middle Python Developer

CodeGeeks Solutions is a software company led by top-notch experts with over 10 years of experience in product design & software development. We are able to comprehensively cover the needs of our clients and focus on the full cycle of development.

Join the CodeGeeks team as our next Middle Python Developer! We’re seeking a dynamic and motivated individual to help drive growth and create new opportunities for our company.

Why us?

• We trust our team and care deeply that everyone feels comfortable and supported in their work and our positive atmosphere
• This work will be fulfilling! You’ll develop and acquire new skills, and we’ll support you every step of the way
• Here you will find like-minded people and true friends
• Here, you’ll even look forward to Mondays!

• We’re a young and successful team! :)

   

We Offer:

• 15 days of annual time off paid + company-wide New Year holiday in the last week of the year (5 days)
• 20 days of sick leave paid (5 — 100%, 15 — 50%)
• Legal support
• IT Cluster membership
• Flexible work schedule and remote work options
• Chance to make a real impact and shape the future of our company
• Education compensation
• Clear career map, continued professional development and growth opportunities
• Opportunity to work with a talented and dynamic team of experts
• Internal training and meetups
• Access to corporate learning materials
• High-level compensation and regular performance-based salary and career development reviews
• PE accounting and support
• Work in a comfortable, modern and cozy office in Lviv
• Team buildings & corporate events
• Referral program

What You Bring:

• 2+ years of professional Python experience
• Hands-on work integrating ML/DS prototypes (no full-scale model training)
• Familiarity with vector databases and embedding workflows
• Strong refactoring, debugging, and communication skills

What You’ll Do:

• Select ML/DS prototypes from the Data Science team and drive them to production
• Refactor prototype code: implement robust error handling, structured logging, and modular architecture
• Integrate embeddings and connect service endpoints to vector databases (e.g., FAISS, Pinecone)
• Collaborate with ML engineers and DevOps to ensure testable, documented, and deployable code
• Diagnose performance bottlenecks and optimize model-serving workflows

Tech Stack:

• Python 3.x
• Transformer & embedding frameworks
• Vector DBs (FAISS, Pinecone)
• Docker, CI/CD pipelines, cloud deployment

If you’re passionate about driving business growth and creating value for our clients, we are waiting for your resume!