Skilled Summary

Apply here: https://lnkd.in/dtqpwqnA

Results-driven AI/ML Engineer and Software Engineer with 3+ years of experience building scalable AI-powered applications and modern web platforms. Specialized in designing and deploying LLM-based systems, RAG pipelines, and intelligent automation workflows using cutting-edge frameworks and architectures.

Strong expertise in LangChain, LangGraph, Retrieval-Augmented Generation (RAG), LLM fine-tuning (LoRA, QLoRA, PEFT, RLHF) and backend development with Python and FastAPI.

Proficient in full-stack development using JavaScript (ES6+), TypeScript, Node.js, React, REST APIs, MongoDB, and modern distributed system design. Passionate about building production-grade AI solutions that are scalable, secure, and performance-optimized.

Key SkillsAI / Machine Learning

- LangChain & LangGraph workflow orchestration
- Retrieval-Augmented Generation (RAG) pipelines
- LLM fine-tuning: LoRA, QLoRA, PEFT
- Reinforcement Learning from Human Feedback (RLHF)
- Prompt engineering & evaluation frameworks
- Vector databases & embeddings
- Model optimization & inference scaling

Backend Development

- Python (Advanced)
- FastAPI
- RESTful API design
- Microservices architecture
- Authentication & authorization systems
- API integrations

Frontend & Full Stack

- JavaScript (ES6+)
- TypeScript
- Node.js
- React
- Modern web architecture
- State management & performance optimization

Databases & Infrastructure

- MongoDB
- Vector databases
- Cloud deployment & CI/CD
- Scalable system design

Experience Description (Example Format for Indeed)

AI/ML Engineer & Software Engineer

- Designed and implemented RAG-based AI systems using LangChain and LangGraph.
- Fine-tuned large language models using LoRA, QLoRA, and PEFT for domain-specific applications.
- Built scalable backend APIs with FastAPI for AI-driven platforms.
- Developed full-stack applications using React, Node.js, and TypeScript.
- Architected modern web systems with microservices and REST-based communication.
- Integrated vector databases and embedding pipelines for semantic search and knowledge retrieval.
- Optimized LLM inference performance and reduced operational costs through model tuning techniques.

Job Type: Full-time

Work Location: Hybrid remote in Kormangala, Karnataka