AI Engineer

Job Description – AI Engineer

Position Overview

Infosys is seeking a highly skilled and innovative AI Engineer to join our growing AI and Digital Transformation team in St. Louis, USA. The ideal candidate will have hands-on experience in building, deploying, and optimizing Generative AI and Large Language Model (LLM)-based applications using modern AI frameworks and Python technologies.

This role requires strong expertise in AI application development, workflow orchestration using LangGraph, prompt engineering, and scalable backend development. The candidate should be passionate about solving real-world business problems using cutting-edge AI technologies.

Key Responsibilities

• Design, develop, and deploy AI-powered applications using Large Language Models (LLMs).
• Build intelligent workflows and multi-agent systems using LangGraph and related orchestration frameworks.
• Develop scalable backend services and APIs using Python.
• Integrate AI solutions with enterprise systems and cloud platforms.
• Implement prompt engineering, retrieval-augmented generation (RAG), and agentic AI workflows.
• Optimize model performance, latency, and scalability for production environments.
• Collaborate with cross-functional teams including product managers, architects, and business stakeholders.
• Conduct testing, debugging, and performance tuning of AI applications.
• Stay updated with the latest advancements in Generative AI, LLM ecosystems, and AI engineering best practices.
• Ensure adherence to security, compliance, and coding standards.

Required Skills

• Strong hands-on experience with Python development.
• Expertise in Generative AI and Large Language Models (LLMs).
• Experience working with LangGraph for workflow orchestration and AI agent development.
• Knowledge of AI frameworks such as LangChain, OpenAI APIs, Hugging Face, or similar platforms.
• Experience with REST APIs, microservices, and backend integrations.
• Understanding of prompt engineering, vector databases, embeddings, and RAG architectures.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience deploying AI applications in production environments.
• Knowledge of containerization tools such as Docker and Kubernetes.
• Experience with CI/CD pipelines and MLOps practices.
• Familiarity with SQL/NoSQL databases.
• Prior experience in enterprise AI transformation projects.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.

Why Join Infosys?

• Opportunity to work on cutting-edge AI and Generative AI projects.
• Collaborative and innovation-driven work environment.
• Exposure to enterprise-scale AI implementations.
• Competitive hourly compensation.

Application Details

If you are passionate about AI innovation and have expertise in Python, LangGraph, and LLM technologies, we encourage you to apply for this exciting opportunity with Infosys in St. Louis, USA.