Senior Python Backend Engineer - Django/Flask

Actively Reviewing the Applications

WeyBee Solutions Pvt Ltd

India, Ahmedabad, Gujarat Full-Time On-site INR 4–7 LPA

Posted 2 weeks ago • Apply by May 4, 2026

Job Description

Role Description

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

4+ 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 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

(ref:hirist.tech)