Enterprise Software Engineer (Artificial Intelligence)

Role Overview

As an AI Engineer, you will play a key role in designing, developing, and deploying enterprise Generative AI solutions that drive business innovation and operational efficiency. You will build AI-powered applications, intelligent agents, and Retrieval-Augmented Generation (RAG) solutions while collaborating with cross-functional teams to integrate AI capabilities into enterprise platforms and business processes.

Responsibilities

• Design, develop, and enhance AI-powered applications using Large Language Models (LLMs) and modern AI frameworks.
• Build and maintain Retrieval-Augmented Generation (RAG), Agentic AI, and conversational AI solutions.
• Develop AI orchestration workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and Model Context Protocol (MCP).
• Integrate enterprise applications with AI services such as Azure OpenAI, OpenAI, Anthropic Claude, and other LLM platforms.
• Design and optimize prompts, AI workflows, and context management to improve response quality, accuracy, and cost efficiency.
• Implement AI guardrails, evaluation frameworks, hallucination mitigation, and responsible AI practices.
• Develop scalable APIs and backend services using Python and FastAPI.
• Participate in solution design, architecture discussions, and technical reviews.
• Collaborate with business stakeholders to identify AI use cases and translate business requirements into technical solutions.
• Support deployment, monitoring, and continuous improvement of AI applications in production environments.

Requirements

• Strong programming skills in Python.
• Hands-on experience with Generative AI, Large Language Models (LLMs), and Prompt Engineering.
• Experience building RAG, Agentic AI, and Multi-Agent applications.
• Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar orchestration frameworks.
• Experience integrating AI services such as Azure OpenAI, OpenAI, Anthropic Claude, or equivalent LLM platforms.
• Knowledge of Vector Databases, embeddings, semantic search, and AI evaluation techniques.
• Experience developing REST APIs using FastAPI or similar frameworks.
• Familiarity with Git, Docker, cloud platforms (Azure/AWS), and CI/CD practices.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication skills with the ability to collaborate across technical and business teams.

Skills

• Python
• LangChain
• FastAPI
• Azure OpenAI
• Generative AI