AI Engineer - Generative AI & Data Products

Role Overview: You are an experienced AI Engineer specializing in Generative AI and Agentic systems, responsible for designing and building production-grade Data Products. Your role involves bridging the gap between core backend software engineering and cutting-edge artificial intelligence to transform complex enterprise data into intelligent, autonomous applications. Key Responsibilities: - Build GenAI Data Products: - Architect and deploy end-to-end data products utilizing Large Language Models (LLMs) to automate complex workflows, extract insights, and process large-scale data structures. - Design Agentic Workflows: - Implement autonomous, multi-agent systems capable of sequential reasoning, tool-calling, and independent decision-making for specific business use cases. - Advanced Data Ingestion: - Design and optimize Retrieval-Augmented Generation (RAG) pipelines, custom data indexers, and vector database management systems to handle structured and unstructured data. - Production Engineering: - Write clean, production-grade backend APIs and maintain high availability, security standards, and low latency for deployed AI features. Qualifications Required: - Experience: - 6+ years of software engineering experience, with a focus on building and deploying production-scale ML/GenAI systems. - GenAI & Agentic Expertise: - Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) and building practical agent tools. - Data Product Mindset: - Proven experience translating raw data and complex business rules into user-facing AI applications (e.g., intelligent search, automated compliance, insight generation). - Core Tech Stack: - Strong proficiency in Python, FastAPI/Flask, SQL, and Vector Databases (e.g., FAISS, Redis, Pinecone). - Cloud Infrastructure: - Experience deploying applications on cloud platforms (AWS, GCP, or Azure). Additional Company Details: The company is seeking an AI Engineer with expertise in Generative AI and Agentic systems to join their team to work on transforming enterprise data into intelligent, autonomous applications. The ideal candidate should have a strong foundation in data structures, experience in shipping digital products, and hands-on experience in building multi-agent workflows and advanced retrieval systems to solve high-impact business use cases. Role Overview: You are an experienced AI Engineer specializing in Generative AI and Agentic systems, responsible for designing and building production-grade Data Products. Your role involves bridging the gap between core backend software engineering and cutting-edge artificial intelligence to transform complex enterprise data into intelligent, autonomous applications. Key Responsibilities: - Build GenAI Data Products: - Architect and deploy end-to-end data products utilizing Large Language Models (LLMs) to automate complex workflows, extract insights, and process large-scale data structures. - Design Agentic Workflows: - Implement autonomous, multi-agent systems capable of sequential reasoning, tool-calling, and independent decision-making for specific business use cases. - Advanced Data Ingestion: - Design and optimize Retrieval-Augmented Generation (RAG) pipelines, custom data indexers, and vector database management systems to handle structured and unstructured data. - Production Engineering: - Write clean, production-grade backend APIs and maintain high availability, security standards, and low latency for deployed AI features. Qualifications Required: - Experience: - 6+ years of software engineering experience, with a focus on building and deploying production-scale ML/GenAI systems. - GenAI & Agentic Expertise: - Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) and building practical agent tools. - Data Product Mindset: - Proven experience translating raw data and complex business rules into user-facing AI applications (e.g., intelligent search, automated compliance, insight generation). - Core Tech Stack: - Strong proficiency in Python, FastAPI/Flask, SQL, and Vector Databases (e.g., FAISS, Redis, Pinecone). - Cloud Infrastructure: - Experience deploying applications on cloud platforms (AWS, GCP, or Azure). Additional Company Details: The company is seeking an AI Engineer with expertise in Generative AI and Agentic systems to join their team to work on transforming enterprise data into intelligent, autonomous applications. The ideal candidate should have a strong foundation in data structures, experience in shipping digital products, and hands-on experience in building multi-agent workflows and advanced retrieval systems to solve high-impact business use cases.