Python Backend Developer With AIML

Company/Payroll : Infotech Global (India) Pvt Ltd

Client : Mckinsey

Job Title : AI Backend Engineer – CST Team

Location : Gurgaon, HR

Work Mode : 3 Days WFO, 2 Days Remote

Notice Period : Immediate – 30 Days

Employment Type : Full-Time with Infotech Global

Experience Level: Mid to Senior Level

We are looking for a talented and experienced Backend Developer/Engineer to join our engineering team. The ideal candidate should have strong expertise in Python (FastAPI) and , with hands-on experience across Relational, NoSQL, and Vector Databases. You will be responsible for building and scaling backend systems, integrating AI/LLM-powered features using frameworks like LangChain and LangGraph, and deploying solutions on AWS Cloud using CI/CD pipelines.

This role offers the opportunity to work on cutting-edge AI integrations and shape intelligent, data-driven products.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using Python (FastAPI) and/or ).
• Integrate AI models and pipelines using LangChain, LangGraph, and other AI frameworks.
• Build modular and scalable APIs to support LLM-based applications and AI-driven workflows.
• Manage and optimize Relational (PostgreSQL/MySQL), NoSQL (MongoDB/DynamoDB), and Vector Databases (Pinecone, Weaviate, Milvus, FAISS).
• Develop and manage CI/CD pipelines for continuous testing, integration, and deployment.
• Deploy, monitor, and scale backend services in AWS Cloud (EC2, Lambda, S3, RDS, etc.).
• Collaborate with AI engineers, data scientists, and frontend teams to deliver seamless, intelligent user experiences.
• Write clean, maintainable, and well-documented code.
• Ensure system security, data integrity, and high performance.

Required Skills & Qualifications

• Strong proficiency in Python (FastAPI) and
• Proven experience in building RESTful APIs and microservices.
• Hands-on experience with:
• Relational Databases (PostgreSQL, MySQL)
• NoSQL Databases (MongoDB, DynamoDB)
• Vector Databases (Pinecone, Weaviate, Milvus, FAISS)
• Practical experience with LangChain and LangGraph for building AI/LLM workflows.
• Familiarity with AI model integrations (e.g., OpenAI, Anthropic, Hugging Face, Gemini, etc.).
• Understanding of CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI.
• Strong experience with AWS Cloud services and containerized deployments (Docker, Kubernetes).
• Excellent debugging, problem-solving, and performance optimization skills.

Nice to Have

• Experience with event-driven systems (Kafka, RabbitMQ).
• Knowledge of GraphQL, gRPC, or WebSocket-based APIs.
• Familiarity with serverless frameworks (AWS Lambda, API Gateway).
• Exposure to AI orchestration frameworks, Retrieval-Augmented Generation (RAG), or LLM agents.

Job Type: Full-time

Pay: ₹2,000, ₹2,500,000.00 per year

Benefits:

• Health insurance
• Work from home

Ability to commute/relocate:

• Sohna, Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Python: 6 years (Required)
• AWS: 3 years (Required)
• LLM /Gen AI/Langchain/Langgraph: 2 years (Required)
• Fast API: 3 years (Required)
• Vector Databases like Pinecone, Weaviate, Milvus, FAISS: 2 years (Required)
• o NoSQL Databases (MongoDB, DynamoDB): 2 years (Required)

Work Location: In person