Artificial Intelligence Engineer

Skills Overview : LLM integration, prompt engineering, agent frameworks (LangChain, LangGraph, AutoGen, CrewAI), tool use & function calling, retrieval-augmented generation (RAG), vector databases (Pinecone, Weaviate, FAISS), memory systems for agents, multi-agent system design, LLM evaluation & observability (LangSmith), Python backend & API development, model fine-tuning & embeddings (Hugging Face Transformers) Job Title : AI Engineer Job Location : Ahmedabad, Gujarat Role Overview: We are seeking a motivated AI Engineer with 0 to 5 years of experience to design, implement, and optimize cutting-edge AI solutions. The ideal candidate will have expertise in large language model (LLM) integration, prompt engineering, and multi-agent system design, along with strong backend development skills. This role offers the opportunity to work on innovative projects leveraging advanced AI frameworks and tools. **Key Responsibilities:** - Develop and integrate LLM-based solutions using frameworks such as LangChain, LangGraph, AutoGen, and CrewAI. - Design and implement multi-agent systems, including memory systems and retrieval-augmented generation (RAG) pipelines. - Utilize vector databases (e.g., Pinecone, Weaviate, FAISS) to optimize data storage and retrieval for AI applications. - Build robust Python backends and APIs to support AI workflows and system scalability. - Fine-tune models and embeddings using Hugging Face Transformers and other relevant tools. - Conduct LLM evaluation and observability using platforms like LangSmith to ensure performance and reliability. - Collaborate with cross-functional teams to design and deploy AI-driven solutions tailored to business needs. - Stay updated on emerging trends and technologies in AI and machine learning. **Required Skills & Qualifications:** - Proficiency in LLM integration, prompt engineering, and agent frameworks. - Experience with retrieval-augmented generation (RAG) and vector databases. - Strong Python programming skills, including backend development and API design. - Familiarity with model fine-tuning and embedding techniques. - Solid understanding of multi-agent system design and memory systems for agents. **Nice-to-Have Skills:** - Experience with LangSmith for LLM evaluation and observability. - Knowledge of advanced AI tools and frameworks. - Background in designing scalable AI architectures for production environments.

This role is ideal for candidates passionate about leveraging AI technologies to solve complex problems and drive innovation.