Software Engineer

Job Summary We are looking for a Software Engineer with strong experience in Generative AI and modern Python-based development. The ideal candidate will design and build advanced AI-driven systems, including LLM-based applications, agent workflows, and scalable backend services. Key Responsibilities Design and develop Generative AI applications using Python and LangChain Build and orchestrate stateful AI workflows and multi-agent systems using LangGraph Develop and deploy LLM-based solutions (OpenAI, Azure OpenAI, Claude, etc.) Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases Integrate AI services with enterprise systems, APIs, and data platforms Develop backend services and APIs using FastAPI / Flask Optimize AI workflows for performance, scalability, and reliability Apply prompt engineering and agent orchestration patterns Collaborate with cross-functional teams on delivery and integration Ensure best practices in testing, monitoring, deployment, and production readiness Required Skills Strong programming experience in Python (3.x) Hands-on experience with: LangChain LangGraph Experience working with Large Language Models (LLMs) and Generative AI Experience with RAG pipelines and vector databases (Pinecone, FAISS, Weaviate) Experience building and consuming REST APIs Familiarity with cloud platforms (AWS, Azure, or GCP) Strong backend experience with FastAPI Solid frontend experience using React.js (hooks, state management) Experience Requirements 68 years of overall software engineering / AI/ML experience Minimum 23 years of hands-on experience in AI / LLM-based application development Job Summary We are looking for a Software Engineer with strong experience in Generative AI and modern Python-based development. The ideal candidate will design and build advanced AI-driven systems, including LLM-based applications, agent workflows, and scalable backend services. Key Responsibilities Design and develop Generative AI applications using Python and LangChain Build and orchestrate stateful AI workflows and multi-agent systems using LangGraph Develop and deploy LLM-based solutions (OpenAI, Azure OpenAI, Claude, etc.) Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases Integrate AI services with enterprise systems, APIs, and data platforms Develop backend services and APIs using FastAPI / Flask Optimize AI workflows for performance, scalability, and reliability Apply prompt engineering and agent orchestration patterns Collaborate with cross-functional teams on delivery and integration Ensure best practices in testing, monitoring, deployment, and production readiness Required Skills Strong programming experience in Python (3.x) Hands-on experience with: LangChain LangGraph Experience working with Large Language Models (LLMs) and Generative AI Experience with RAG pipelines and vector databases (Pinecone, FAISS, Weaviate) Experience building and consuming REST APIs Familiarity with cloud platforms (AWS, Azure, or GCP) Strong backend experience with FastAPI Solid frontend experience using React.js (hooks, state management) Experience Requirements 68 years of overall software engineering / AI/ML experience Minimum 23 years of hands-on experience in AI / LLM-based application development

Strong programming experience in Python (3.x) Hands-on experience with: LangChain LangGraph Experience working with Large Language Models (LLMs) and Generative AI Experience with RAG pipelines and vector databases (Pinecone, FAISS, Weaviate) Experience building and consuming REST APIs Familiarity with cloud platforms (AWS, Azure, or GCP) Strong backend experience with FastAPI Solid frontend experience using React.js (hooks, state management)

Experience Requirements 68 years of overall software engineering / AI/ML experience Minimum 23 years of hands-on experience in AI / LLM-based application development