Job
Description
As a highly skilled Gen AI Engineer with 1 to 3 years of experience and hands-on expertise in building and deploying AI agents, you will be responsible for architecting, developing, and deploying intelligent agents that automate workflows, integrate with APIs and CRMs, and deliver real-time decision-making capabilities. - Design, build, and deploy AI agents using LangChain, LangGraph, OpenAI Assistants, and CrewAI. - Develop modular, scalable pipelines for retrieval-augmented generation (RAG), tool integrations, and multi-agent collaboration. - Integrate agents with databases, CRMs, APIs, and external systems. - Optimize prompt engineering, memory, and context management. - Implement LLM orchestration, error handling, and performance monitoring. - Collaborate with product and business teams to translate requirements into functional AI-driven workflows. - Stay updated on emerging AI frameworks, LLM models, and agent ecosystems. Required Skills & Experience: - Strong proficiency in Python (1+ years professional experience). - Hands-on experience with LangChain, LangGraph, OpenAI Assistants API, and CrewAI. - Proven track record of building and deploying AI agents in production. - Deep understanding of LLM concepts: embeddings, vector databases, RAG pipelines, prompt engineering. - Experience with API integration (REST, GraphQL, webhooks). - Familiarity with cloud platforms (AWS, GCP, or Azure). - Strong problem-solving and debugging skills. Nice-to-Have: - Experience with FastAPI for serving AI endpoints. - Knowledge of vector databases (Pinecone, Weaviate, Chroma, FAISS). - Exposure to multi-agent systems and orchestration frameworks. - Prior work on enterprise AI solutions (chatbots, automation agents, sales/marketing AI, etc.). - Contribution to open-source AI frameworks. In this role, you will have the opportunity to work on cutting-edge AI agent technologies in a collaborative environment with an AI-first mindset. The company offers a competitive salary, performance-based incentives, flexibility in working hours, and project ownership. Location: On-site (Ahmedabad, Gujarat) Employment Type: Full-time,