Gen AI Engineer (AI)

TL;DR

Gen AI Engineer (AI): Leads the design, development, and implementation of complex data management and storage applications, often leveraging new technologies, with an accent on Gen AI projects involving summarization and chatbot development for high-volume documents. Focus on translating business strategy into technical tactics, providing strategic technical direction, and recommending innovations for competitive advantage.

Location: Must be based in Jersey City, NJ, Charlotte, NC, or Chicago, IL

Salary: $100,000–$115,000/year

Company

hirify.global is a global consulting firm specializing in digital solutions for financial services and technology firms, focusing on Artificial Intelligence, Cloud & DevOps, Data, and Software Engineering.

What you will do

• Lead the design and implementation of complex data management and storage applications using new technologies.
• Provide work leadership, assigning tasks and resolving problems.
• Translate business strategy into achievable technical tactics.
• Serve as a senior technical team member assisting business leaders and management.
• Provide strategic technical direction and system architecture for individual initiatives.
• Utilize in-depth knowledge to recommend innovations that enhance organizational competitive advantage.

Requirements

• Over 7 years of related IT experience.
• Strong programming experience with Python.
• 2+ years of professional experience executing end-to-end Gen AI projects.
• Experience with LLM Models (Llama, Mixtral, Mistral), inferencing mechanisms (transformer/pipeline, vllm), and agentic frameworks (langgraph).
• Proficiency in evaluation frameworks (RAGAS, langsmith, phoenix-arize), embedding models, and LLM development frameworks (Langchain, LlamaIndex).
• Experience with Rest API, FastAPI, Websockets, Enterprise Redis Database, Qdrant, and Cockroach.
• Must have experience with Model Risk Management/Model Governance, including delivering Gen AI projects following guidelines, writing model documents, and building monitoring capabilities.

Nice to have

• Angular experience.
• Experience with Slurm, Hadoop/Hive, Neo4J, Apache Spark, Kafka, and MongoDB.
• Knowledge of machine-learning techniques, classifiers, and statistical methods.

Culture & Benefits

• Highly competitive compensation and benefits package.
• Opportunity to work for a multinational organization with a global presence.
• Paid annual leave, sick leave, national holidays, and comprehensive maternity & paternity leave plans.
• Extensive insurance plan including medical, dental, vision, life insurance, and disability.
• Retirement savings plans, higher education certification policy, and commuter benefits.
• Abundant training opportunities, including free access to Udemy for Business.
• Coaching from experienced colleagues and exposure to cutting-edge projects.
• Flat, approachable organization with a diverse, fun-loving, and global work culture.