AI Engineer

A large healthcare organization is seeking an AI Engineer to help drive enterprise-wide AI initiatives focused on improving operational efficiency, automating business processes, and delivering measurable business value across the organization.

This role will focus heavily on designing, building, and deploying AI-powered applications utilizing LLMs, LangChain, RAG architectures, and advanced prompt engineering techniques. The ideal candidate will be a hands-on engineer who enjoys building production-ready AI solutions and partnering with business teams to identify opportunities where generative AI can create meaningful impact.

Responsibilities

Design, develop, and deploy enterprise AI applications and services using Node.js and Python.

Build and optimize LLM-powered solutions, including chatbots, copilots, intelligent assistants, and document-processing workflows.

Develop and maintain RAG pipelines that integrate enterprise knowledge sources with generative AI models.

Utilize LangChain and related frameworks to orchestrate complex AI workflows and agent-based solutions.

Create, test, and refine prompts to improve model accuracy, consistency, and business outcomes.

Integrate AI models with enterprise applications, APIs, and data platforms.

Collaborate with product, data, engineering, and business teams to identify opportunities for AI-driven automation and efficiency gains.

Monitor application performance, evaluate model quality, and drive continuous improvements.

Implement secure, scalable, and compliant AI solutions capable of supporting production workloads within a healthcare environment.

5+ years of experience building and deploying AI/ML applications in enterprise environments.

Strong hands-on development experience with Node.js and Python.

Proven experience developing solutions using Large Language Models (LLMs), including OpenAI, Anthropic Claude, Azure OpenAI, or similar technologies.

Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines and AI-driven workflows.

Deep understanding of LangChain and related AI orchestration frameworks.

Experience with prompt engineering, prompt optimization, and AI response evaluation. Experience with cloud platforms such as AWS, Azure, or GCP.

Experience building and deploying microservices architectures.

Hands-on experience with vector databases such as Pinecone, Weaviate, ChromaDB, or similar technologies.

Experience implementing AI governance, security, and compliance standards within enterprise environments.

Java development experience.

Experience working within healthcare, insurance, or highly regulated industries.