Python Backend Engineer – AWS | GenAI & ML

Job Title: Python Backend Engineer – AWS | GenAI & ML

Experience: 5 Years

Employment Type: Full-Time

Job Summary:

We are seeking an experienced Python Backend Engineer with strong AWS expertise and a background in AI/ML to build and scale intelligent backend systems and GenAI-driven applications. The ideal candidate should have hands-on experience building REST APIs using Django or FastAPI and implementing AI/LLM applications using Langchain. Experience with LangGraph is a strong plus.

Key Responsibilities:

• Design, develop, and maintain Python-based backend systems and AI-powered services.
• Build and manage RESTful APIs using Django or FastAPI for AI/ML model integration.
• Develop and deploy machine learning and GenAI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Implement GenAI pipelines using Langchain; LangGraph experience is a plus.
• Utilize AWS services including EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment.
• Collaborate with data scientists, DevOps, and architects to integrate models and workflows into production.
• Build and manage CI/CD pipelines for backend and model deployments.
• Ensure performance, scalability, and security of applications in cloud environments.
• Monitor production systems, troubleshoot issues, and optimize model and API performance.

Required Skills and Experience:

• 5 years of hands-on experience in Python backend development.
• Strong experience building RESTful APIs using Django or FastAPI.
• Proficiency in AWS cloud services: EC2, S3, Lambda, SageMaker, CloudFormation, etc.
• Solid understanding of ML/AI concepts and model deployment practices.
• Experience with ML libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with Langchain for building GenAI applications.
• Familiarity with DevOps tools: Docker, Kubernetes, Git, Jenkins, Terraform.
• Good understanding of microservices architecture and CI/CD workflows.
• Agile development experience.

Nice to Have:

• Experience with LangGraph for agentic workflows or graph-based orchestration.
• Knowledge of LLMs, embeddings, and vector databases (e.g., Pinecone, FAISS).
• Exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms.
• Understanding of MLOps tools and practices for model monitoring, versioning, and retraining.

Job Types: Full-time, Permanent

Pay: ₹1,100,000.00 - ₹1,500,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Location Type:

• In-person

Schedule:

• Day shift
• Monday to Friday
• Morning shift

Work Location: In person

Speak with the employer
+91 9966550640