Generative AI Engineer

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries.

Title: GenAI Technical Lead

Location: Offshore Remote (1 day onsite in Chicago per month)

Key Responsibilities

* Lead the design and development of enterprise-grade Generative AI solutions using Large Language Models (LLMs).

* Build and optimize Retrieval-Augmented Generation (RAG) pipelines integrating vector databases, knowledge graphs, and enterprise data sources.

* Develop AI agents and automation workflows using modern GenAI frameworks.

* Design and implement data ingestion pipelines, including data chunking, embedding generation, and indexing for efficient retrieval.

* Integrate AI solutions with enterprise tools such as Confluence, Jira, and internal knowledge repositories.

* Work with Azure ecosystem services including Azure OpenAI, Cosmos DB, Blob Storage, and related AI services.

* Develop scalable backend services using Python and SQL for AI and data processing workflows.

* Implement and manage vector search solutions to enable semantic retrieval for LLM-based applications.

* Build and maintain CI/CD pipelines using Terraform and modern DevOps practices for AI infrastructure deployment.

* Collaborate with cross-functional teams including data engineers, architects, product teams, and business stakeholders.

* Evaluate and integrate leading LLM providers such as OpenAI and Anthropic into enterprise AI architectures.

* Ensure best practices in model governance, security, scalability, and responsible AI implementation.

Required Skills & Experience

* 10+ years of overall software engineering or data engineering experience.

* Strong hands-on experience with Generative AI and LLM-based application development.

* Experience designing RAG-based solutions using vector databases and knowledge graphs.

* Proficiency in Python and SQL for data processing and AI application development.

* Experience with Azure cloud services, especially:

* Azure OpenAI

* Cosmos DB

* Blob Storage

* Strong understanding of data ingestion, data chunking, embeddings, and vector indexing.

* Experience working with OpenAI, Anthropic, or similar LLM providers.

* Familiarity with JSON-based APIs and AI service integrations.

* Experience integrating enterprise knowledge sources such as Confluence and Jira.

* Experience implementing CI/CD pipelines using Terraform and DevOps practices.

Nice to Have

* Experience building AI Agents or agent-based workflows.

* Knowledge of Model Context Protocol (MCP) or similar agent orchestration frameworks.

* Experience with healthcare or insurance domain data.

* Experience leading GenAI strategy and architecture initiatives.