Senior Backend & AI Platform Developer

Senior Backend Developer – AI, APIs & LLM Integration

Location: RemoteTimings: 4 pm - 12 am (Monday to Friday)Employment :Type Full-Time / ContractAbout the Role

We are seeking an outstanding Backend Developer who can architect, build, test, deploy, and optimize scalable backend systems while leveraging the latest AI technologies.

This is not a traditional backend role. We are looking for someone who can rapidly evaluate emerging technologies, integrate Large Language Models (LLMs), design intelligent APIs, and build AI-powered services that can scale globally.

Key Responsibilities

• Design scalable backend architectures from the ground up.
• Build secure RESTful APIs, GraphQL APIs, and microservices.
• Develop cloud-native backend platforms.
• Design scalable databases and caching strategies.
• Integrate multiple AI providers and LLM APIs.
• Build Retrieval-Augmented Generation (RAG) systems.
• Develop AI agents capable of reasoning, orchestration, and workflow automation.
• Design prompt engineering frameworks and AI pipelines.
• Implement vector databases and semantic search.
• Develop event-driven architectures and asynchronous processing.

* Build automated testing frameworks.* Implement CI/CD pipelines.

• Monitor, optimize, and secure production environments.
• Evaluate emerging technologies and recommend improvements.
• Mentor junior developers and contribute to engineering best practices.

Required Qualifications

• Bachelor's degree in Computer Science or equivalent experience.
• 5+ years of backend software development.
• Strong proficiency in Python, Node.js, Java, or Go.
• Experience with FastAPI, Express.js, Spring Boot, or similar frameworks.
• Strong understanding of SQL and NoSQL databases.
• Experience with PostgreSQL, MongoDB, Redis, Elasticsearch, or similar technologies.

* Experience designing scalable APIs.

• Strong understanding of distributed systems.

* Experience with Docker and Kubernetes.

• Experience deploying on AWS, Azure, or Google Cloud.
• Experience with Git and CI/CD pipelines.

AI & Modern Technology Requirements

Candidates should demonstrate hands-on experience with several of the following:

* OpenAI API* Anthropic Claude API* Google Gemini API* Meta Llama models* Model Context Protocol (MCP)* Retrieval-Augmented Generation (RAG)

• Vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgvector)

* AI Agents and multi-agent frameworks

• LangChain, LangGraph, LlamaIndex, or equivalent AI orchestration frameworks

* Function calling and tool integration* Prompt engineering and evaluation* Embeddings and semantic search* Streaming AI responses* AI observability and monitoring

• API integrations with third-party platforms (Stripe, Twilio, Firebase, Auth0, SendGrid, etc.)

Preferred Qualifications

• Experience building AI-native products.
• Experience with event-driven architectures.

* Experience with serverless platforms.

• Knowledge of cybersecurity best practices.
• Experience with blockchain or Web3 technologies.
• Experience with data engineering or MLOps.

* Familiarity with DevSecOps practices.What We Look For

• Exceptional software architecture skills.
• Ability to quickly learn and adopt new technologies.
• Strong analytical and problem-solving abilities.
• Startup mindset with a bias toward execution.
• Passion for AI innovation and continuous improvement.
• Excellent communication and collaboration skills.
• Ability to independently design, build, test, deploy, and support production-grade systems.

Work Location: Remote

Originally posted on Himalayas