AI Engineer – Forward Deployed Engineer (FDE) (AI)

Location: Remote, Saint Louis, Missouri, United States

Company

hirify.global delivers digital engineering and customer-focused AI solutions.

What you will do

• Work directly with customers and stakeholders to translate complex business use cases into scalable AI and Generative AI solutions.
• Design, develop, deploy, and operationalize production applications using LLMs and machine learning technologies.
• Build RAG pipelines, AI agents, and agentic workflows with retrieval, tool calling, orchestration, memory, and multi-step reasoning.
• Integrate AI capabilities with enterprise applications, REST APIs, databases, cloud platforms, and business workflows.
• Develop backend services and APIs with Python and FastAPI or similar frameworks, and deploy workloads with Docker and Kubernetes.
• Establish LLMOps/MLOps practices for monitoring, evaluation, observability, versioning, continuous improvement, security, privacy, and data governance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Strong hands-on Python programming experience and production experience with Generative AI and LLMs.
• Strong understanding of RAG, embeddings, vector databases, semantic search, prompt engineering, and agentic AI.
• Experience integrating AI applications with REST APIs, enterprise databases, and cloud services.
• Hands-on experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform.
• Knowledge of software engineering principles, Git, CI/CD, testing, containerization, API development, machine learning concepts, model evaluation, inference, and performance optimization.
• Experience taking AI solutions from prototype or proof of concept through production deployment.
• Strong troubleshooting and problem-solving skills, excellent customer-facing communication, and stakeholder-management abilities.
• Ability to work in fast-paced environments with ambiguous or evolving customer requirements.

Nice to have

• Experience with Azure OpenAI Service, Azure AI Foundry, Azure AI Search, Amazon Bedrock, Google Vertex AI, or similar AI platforms.
• Experience building AI agents, copilots, conversational AI, or autonomous workflows.
• Knowledge of LLM evaluation, observability, tracing, hallucination detection, and AI guardrails.
• Experience with PyTorch.

Culture & Benefits

• Remote work arrangement associated with Saint Louis, Missouri, United States.
• Customer-facing work involving collaboration with product, data engineering, platform, and engineering teams.
• Employment type: Employee-Hourly.