Intermediate AI Engineer

Position Summary

Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with business and technology teams to bring these solutions from concept to production, creating measurable impact across the organization.

Key Responsibilities

• Design, develop, and deploy AI applications, from proof of concept through production.
• Build ML, deep learning, and generative AI models to solve specific business problems.
• Develop AI agents and intelligent workflow automations that orchestrate tools, APIs, and decision logic.
• Integrate AI solutions with enterprise systems, applications, APIs, and data sources.
• Partner with business stakeholders to translate requirements into technical solutions.
• Evaluate, monitor, and optimize models and applications for performance, reliability, and scalability.
• Document technical designs and contribute to AI development standards and best practices.
• Track emerging AI technologies and recommend solutions aligned with business objectives.

Qualifications

Required

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field.
• 3-5 years of experience in AI, machine learning, agentic AI, and workflow automation.
• Experience developing applications, APIs, and system integrations.
• Strong analytical, problem-solving, and communication skills.
• Ability to manage multiple initiatives and work effectively across cross-functional teams.
• Knowledge of AI governance, security, and responsible AI practices.

Technical Skills

• Languages & Core ML: Python, Machine Learning, Deep Learning, Generative AI
• LLMs & Agentic AI: LLM Development, Prompt Engineering, RAG, AI Agent Frameworks (LangChain, LangGraph), Multi-Agent Orchestration, Fine-Tuning
• ML/DL Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers
• Microsoft Azure AI Stack: Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Azure AI Search, Azure Functions
• Data & Retrieval: Vector Databases, Semantic Search, Embeddings, Data Pipelines
• Integration & APIs: REST APIs, Webhooks, Enterprise System Integrations
• DevOps & Deployment: Docker, Azure DevOps, Git, CI/CD, MLOps