AI Eng Lead

Location: Columbia, Maryland, United States

Starting pay range: $125,000–$180,000 per year

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for clients.

What you will do

• Architect and implement production-ready AI solutions using LLMs, transformer-based models, retrieval systems, agentic workflows, and AI agents.
• Design and optimize prompts, workflows, and RAG pipelines for accuracy, cost-efficiency, latency, and safety.
• Build multi-step agentic systems that use external tools and APIs, manage state, and handle complex reasoning chains.
• Deploy and operate generative AI models and pipelines through API, batch, and streaming architectures.
• Develop evaluation frameworks for grounding, factuality, latency, and cost, and implement guardrails for prompt injection, content moderation, output validation, and unsafe agent behavior.
• Collaborate with Product, Engineering, and ML Ops to deliver and maintain AI features from prototype through production.

Requirements

• 3+ years of applied machine learning experience focused on NLP, transformers, or generative AI systems.
• Hands-on experience with LLM libraries and services such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, or AWS Bedrock Agents.
• Experience designing multi-step agents with tool or API calls and safeguards against errors, loops, and unsafe tool use.
• Production experience building, deploying, and monitoring machine learning or AI applications in API, batch, or streaming environments.
• Fluency in Python and experience with cloud platforms, containerization, versioning, and CI/CD.
• Experience with responsible AI practices, including privacy, bias mitigation, safety guardrails, or related controls.

Nice to have

• Degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
• Expertise in transformer-based models and LLM architectures.
• Ability to own AI solutions from rapid prototyping through live production systems.

Culture & Benefits

• Collaboration across Data Science, Engineering, Product, and ML Ops.
• Medical, dental, and vision coverage.
• 401(k), paid time off, and paid holidays.
• Commuter benefits, spending accounts, life insurance, disability coverage, and employee assistance programs.