Description

You will design, develop, and deploy Generative AI applications using LLMs and foundation models, including AI-powered chatbots, virtual assistants, and automation solutions.

This role is remote.

Responsibilities

• Implement RAG architectures using vector databases and semantic search.
• Develop AI agents and workflow automation using LangChain, LangGraph, CrewAI, or AutoGen.
• Fine-tune, evaluate, and optimize LLMs for domain-specific use cases.
• Integrate AI solutions with enterprise applications, APIs, and cloud platforms.
• Monitor model performance, costs, latency, and accuracy in production.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Generative AI, LLMs, and AI application development.
• Experience with OpenAI, Anthropic Claude, Gemini, Llama, or similar foundation models.
• Knowledge of RAG architectures, embeddings, vector databases, and semantic search.
• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar AI frameworks.
• Familiarity with prompt engineering, model evaluation, and AI safety practices.
• Experience with REST APIs, microservices, and cloud platforms (AWS, Azure, or GCP).
• Knowledge of machine learning fundamentals and NLP concepts.
• Experience with Git, CI/CD pipelines, and containerization technologies such as Docker.

Preferred Skills

• Experience fine-tuning open-source LLMs and knowledge of MLOps/LLMOps practices.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or FAISS.
• Familiarity with Kubernetes and scalable cloud-native architectures.

Key Skills

Education

Any Graduate