11/05/2026 updated
100 % available
AI Engineer & Backend Developer
Kalyan, India
Worldwide
Bachelor of Technology (B.Tech) in Computer Science EngineeringApplication Programming Interfaces (APIs)Algorithm DesignPostmanPrompt EngineeringGenerative AIBackendBackend ProgrammingApi DesignArtificial Intelligence Markup Language (AIML)
AI Engineering & RAG Systems
Expertise in building Retrieval-Augmented Generation (RAG) systems using LangChain, LangGraph, and vector databases such as Chroma, FAISS, and HNSWLIB. Development of agentic AI workflows, LLM orchestration, prompt engineering, and hybrid search techniques including BM25 and dense vector embeddings.
Backend API Development
Development of production-ready REST APIs using FastAPI, Express.js, and Node.js. Implementation of authentication mechanisms with JWT and password hashing, as well as API testing and version control using Postman and Git.
Database Management
Proficiency in working with MongoDB, MongoDB Atlas, PostgreSQL, and Redis for data storage, transaction management, and efficient retrieval through vector database indexes.
Programming Languages
Solid knowledge of Python, Bash, SQL, and JavaScript (ES6+) for developing AI models, backend services, and automation scripts.
DevOps & Tools
Familiarity with Git, GitHub, Postman, Docker (Basics), and Linux (Ubuntu) for version control, containerization, and operating system-level tasks.
System Design & Networking
Understanding of REST API design principles, Linux commands, shell scripting, CI/CD fundamentals, networking basics, and system design concepts.
Model Development & API Integration
Experience in developing and testing AI models, integrating APIs, and debugging in fast-paced environments with a focus on customer-facing solutions.
Local LLM Integration
Integration of local language models through Ollama with customized system prompt templates, enabling offline and privacy-preserving AI capabilities.
Expertise in building Retrieval-Augmented Generation (RAG) systems using LangChain, LangGraph, and vector databases such as Chroma, FAISS, and HNSWLIB. Development of agentic AI workflows, LLM orchestration, prompt engineering, and hybrid search techniques including BM25 and dense vector embeddings.
Backend API Development
Development of production-ready REST APIs using FastAPI, Express.js, and Node.js. Implementation of authentication mechanisms with JWT and password hashing, as well as API testing and version control using Postman and Git.
Database Management
Proficiency in working with MongoDB, MongoDB Atlas, PostgreSQL, and Redis for data storage, transaction management, and efficient retrieval through vector database indexes.
Programming Languages
Solid knowledge of Python, Bash, SQL, and JavaScript (ES6+) for developing AI models, backend services, and automation scripts.
DevOps & Tools
Familiarity with Git, GitHub, Postman, Docker (Basics), and Linux (Ubuntu) for version control, containerization, and operating system-level tasks.
System Design & Networking
Understanding of REST API design principles, Linux commands, shell scripting, CI/CD fundamentals, networking basics, and system design concepts.
Model Development & API Integration
Experience in developing and testing AI models, integrating APIs, and debugging in fast-paced environments with a focus on customer-facing solutions.
Local LLM Integration
Integration of local language models through Ollama with customized system prompt templates, enabling offline and privacy-preserving AI capabilities.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluent
Project history
Built a document search and question-answering system (RAG) using Python, FastAPI, and LangChain. Processed multi-format documents, generated semantic embeddings, and stored them in vector database indexes for efficient retrieval. Integrated local language models (LLMs) through Ollama with customized system prompt templates. Used Git for type-safe environment configurations, structured logging, and robust API version control.
Developed REST APIs for managing user transactions using Node.js, Express.js, and MongoDB. Implemented authentication using JWT and password hashing using Bcrypt. Worked with MongoDB for data storage and transaction management. Tested APIs using Postman.
Built a reliable agentic workflow system using LangGraph and wrapped it into a production-ready FastAPI service. Deployed the application and configured service monitoring to identify execution latency and API query bottlenecks. Integrated hybrid search using BM25 keyword matching and dense vector database embeddings for advanced RAG. Designed automated evaluation test runs to track LLM regression, API request cost, output quality, and latency trade-offs.