Senior Python Backend Engineer

Company Description

WeyBee Solutions Pvt Ltd, established in 2019, is a leading IT services provider based in Rajkot and Ahmedabad, India. The company is dedicated to staying at the forefront of emerging technology trends, bridging gaps between technical capabilities and business strategies to foster enterprise success.

Role Description

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

This is an excellent opportunity for a backend engineer who enjoys working withAI-enhanced products and wants to play a key role in buildingscalable, 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 usingPython (FastAPI, Django, Flask)
• IntegrateML models and AI services (recommendations, personalization, semantic search, LLM-based features) into production APIs and data pipelines
• Collaborate withML engineers and product teams to design and deliver AI-powered functionality
• Build efficient APIs to serve recommendations and AI-generated results atlow latency
• Work withvector databases (Qdrant, Pinecone, Elasticsearch, etc.) for similarity search and embedding-based retrieval
• Deploy, monitor, and scale services incloud environments (AWS preferred)
• Contribute tosystem design, architecture decisions, and performance optimization
• DevelopCI/CD pipelines and ensure high code quality, testing, and observability

Required Skills & Qualifications

• 4+ years of Python backend development experience
• Strong knowledge ofbackend architecture, distributed systems, and scalable API design
• Proven experience building and deployingproduction-ready APIs
• Hands-on experience integratingML models or AI/LLM-based services into backend systems
• Strong understanding ofprompt engineering ability to write, test, and optimize prompts for reliable, high-quality AI outputs
• Familiarity withcloud 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 aremote team

Nice to Have (Bonus Skills)

• Experience withrecommendation systems or personalization pipelines
• Familiarity withvector databases and embedding-based search
• Experience with structured prompt optimization frameworks such asDSPy
• Frontend integration experience (React, Next.js, GraphQL)
• Experience monitoring and improvingML/AI-powered production systems (Prometheus, Grafana)
• Understanding ofLLM evaluation, prompt versioning, and AI system observability