Python Developer (AI Services & Backend)

Position: Python Developer

Experience: 3+ Years

Location: Surat, Gujarat

Employment Type: Full-time

About the Role

We are seeking a passionate Python Developer with experience in AI services, agentic AI systems, and backend development. The ideal candidate should be eager to work on innovative AI-driven solutions, scalable backend systems, and cutting-edge agent-based architectures. This role offers an exciting opportunity to contribute to next-generation applications that combine backend engineering with AI-powered automation.

Key Responsibilities

• Develop, optimize, and maintain 

  Python-based backend services

   and APIs.
• Work on 

  agentic AI systems

   – autonomous agents, workflows, and integrations with AI models.
• Implement, test, and deploy 

  AI-powered features

   (LLMs, NLP, Generative AI).
• Collaborate with data scientists and AI engineers to 

  integrate ML/AI models

   into production-ready systems.
• Ensure 

  scalability, security, and performance

   of backend applications.
• Work with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, or Azure).
• Participate in 

  code reviews, debugging, and troubleshooting

   production issues.
• Stay updated with the latest AI and Python ecosystem trends.

Required Skills & Qualifications

• 3+ years

   of hands-on experience in 

  Python development

   (backend & APIs).
• Strong understanding of 

  OOP, data structures, and algorithms

  .
• Experience with 

  AI services, agentic AI frameworks, or LLM integration

   (LangChain, LlamaIndex, OpenAI APIs, RAG, etc.).
• Knowledge of 

  backend frameworks

   such as 

  FastAPI, Flask, or Django

  .
• Familiarity with 

  RESTful APIs, microservices architecture, and event-driven systems

  .
• Experience with 

  databases

   (PostgreSQL, MongoDB, or MySQL).
• Basic knowledge of 

  cloud platforms

   (AWS/GCP/Azure) and 

  containerization

   (Docker/Kubernetes).
• Good problem-solving, debugging, and optimization skills.

Good to Have (Optional)

• Hands-on experience in 

  agent-based AI systems

   or 

  autonomous AI workflows

  .
• Exposure to 

  MLOps tools

   (MLflow, Weights & Biases).
• Knowledge of 

  message brokers

   (Kafka, RabbitMQ, Redis Streams).
• Experience with 

  DevOps practices

   (CI/CD pipelines, GitHub Actions, Jenkins).

Perks & Benefits

• 5 days working (Monday to Friday)

• Comprehensive health insurance coverage

• Flexible working hours & supportive team culture.
• Learning opportunities with 

  latest AI and backend technologies

  .
• Competitive salary & performance-based incentives.