Apply for Senior Python Backend Engineer (AI/ML, Scalable Systems)

We are looking for an experienced Python backend engineer to join our team and help build advanced data-driven features for a global technology platform. You will design, implement, and deploy backend services that integrate with modern AI/ML solutions, including recommendation and personalization logic.

This is an excellent opportunity for a backend engineer who enjoys working with AI-enhanced products and wants to play a key role in building scalable, ML-powered user experiences. Experience in recommendation systems is a strong advantage — but not mandatory.

Key Responsibilities

• Design, build, and maintain robust and scalable backend services using Python (FastAPI, Django, Flask)
• Integrate ML models and AI services (recommendations, personalization, semantic search, LLM-based features) into production APIs and data pipelines
• Collaborate with ML engineers and product teams to design and deliver AI-powered functionality
• Build efficient APIs to serve recommendations and AI-generated results at low latency
• Work with vector databases (Qdrant, Pinecone, Elasticsearch, etc.) for similarity search and embedding-based retrieval
• Deploy, monitor, and scale services in cloud environments (AWS preferred)
• Contribute to system design, architecture decisions, and performance optimization
• Develop CI/CD pipelines and ensure high code quality, testing, and observability

Required Skills & Qualifications

• 5+ years of Python backend development experience
• Strong knowledge of backend architecture, distributed systems, and scalable API design
• Proven experience building and deploying production-ready APIs
• Hands-on experience integrating ML models or AI/LLM-based services into backend systems
• Strong understanding of prompt engineering — ability to write, test, and optimize prompts for reliable, high-quality AI outputs
• Familiarity with cloud platforms (AWS preferred) and DevOps practices (Docker, Kubernetes, Terraform)
• Database experience:
  • SQL: PostgreSQL / MySQL
  • NoSQL: Redis, Elasticsearch
• Excellent communication skills and ability to collaborate effectively in a remote team

Nice to Have (Bonus Skills)

• Experience with recommendation systems or personalization pipelines
• Familiarity with vector databases and embedding-based search
• Experience with structured prompt optimization frameworks such as DSPy
• Frontend integration experience (React, Next.js, GraphQL)
• Experience monitoring and improving ML/AI-powered production systems (Prometheus, Grafana)
• Understanding of LLM evaluation, prompt versioning, and AI system observability

1. Information We Collect

We collect personal data necessary for recruitment and employment purposes, including but not limited to:

• Personal Identifiable Information (PII): Name, email, phone number, address, and date of birth
• Professional Information: Resume, educational qualifications, work experience, technical and soft skills, certifications, and references
• Employment Preferences: Desired job role, salary expectations, location preference, and notice period
• Additional Information: Any other details you voluntarily provide during the hiring process

2. How We Use Your Information

The personal data we collect is used for the following purposes:

• Recruitment and Hiring: To evaluate and process job applications
• Communication: To inform candidates about job opportunities
• Legal Compliance: To comply with applicable laws
• Improving Recruitment Process: To enhance our hiring procedures

3. Data Sharing and Disclosure

We may share your information with:

• Internal Teams: Hiring managers and HR personnel
• Third-Party Service Providers: Background verification agencies
• Legal and Regulatory Authorities: If required by law

4. Data Security

We implement strict security measures including:

• Encryption and secure data transmission
• Restricted access to authorized personnel
• Regular security audits

5. Data Retention

Your data will be retained as long as necessary for the recruitment process. Unsuccessful applications may be kept for future opportunities unless deletion is requested.

Contact us at hr@weybee.com for any privacy concerns.