Artificial Intelligence Engineer

i-Pharm Consulting; Pennsylvania; Hybrid; USD 140,000 - 200,000; Full time

Job summary

i-Pharm Consulting seeks a Lead Agentic AI Engineer to build production-grade AI systems within a hybrid setup in Philadelphia, PA. This role focuses on practical, end-to-end AI development that directly supports biopharmaceutical workflows and patient outcomes.

You will design multi-agent architectures, orchestrate AI tooling, and collaborate with engineers, data scientists, and stakeholders to deliver measurable business impact.

Qualifications

• Engineers who are builders first.
• You may currently be a:
• Principal AI Engineer
• Machine Learning Engineer
• Most importantly, you should still be spending the majority of your time designing, coding, and deploying solutions yourself.

Responsibilities

• Design, build, and deploy production-grade Agentic AI systems
• Develop reusable multi-agent frameworks, orchestration patterns, and AI automation capabilities
• Build AI agents that interact with enterprise applications, APIs, databases, and internal tools
• Create scalable approaches for RAG, tool calling, memory, planning, and workflow automation
• Evaluate and implement emerging AI technologies, frameworks, and models
• Partner with engineers, data scientists, and business stakeholders to deliver AI solutions with measurable business impact
• Help define technical standards, best practices, and long-term AI architecture

Skills

Agentic AI

LLM Systems

LangGraph

LangChain

CrewAI

Multi-agent systems

Agent orchestration

LLM evaluation frameworks

Python

APIs

Distributed systems

Cloud-native architectures

Microservices

CI/CD

Production software engineering

Tools

LangGraph

LangChain

CrewAI

OpenAI

Bedrock

Job description

Lead Agentic AI Engineer | Hybrid | Philadelphia, Pennsylvannia

Build AI That Actually Matters

Most AI jobs are focused on generating content, optimizing ads, or improving internal productivity. This role is different.

We're looking for a highly technical AI engineer to help build the next generation of Agentic AI capabilities within a rapidly growing biopharmaceutical organization. You'll work at the intersection of cutting-edge AI engineering and life sciences, creating systems that help accelerate research, improve operations, and ultimately support better outcomes for patients.

This is a hands-on engineering role for someone who loves building.

What You'll Do

• Design, build, and deploy production-grade Agentic AI systems
• Develop reusable multi-agent frameworks, orchestration patterns, and AI automation capabilities
• Build AI agents that interact with enterprise applications, APIs, databases, and internal tools
• Create scalable approaches for RAG, tool calling, memory, planning, and workflow automation
• Evaluate and implement emerging AI technologies, frameworks, and models
• Partner with engineers, data scientists, and business stakeholders to deliver AI solutions with measurable business impact
• Help define technical standards, best practices, and long-term AI architecture

What We're Looking For

We're looking for engineers who are builders first.

You may currently be a:

• Principal AI Engineer
• Machine Learning Engineer

Most importantly, you should still be spending the majority of your time designing, coding, and deploying solutions yourself.

Preferred Experience

Strong experience with several of the following:

Agentic AI & LLM Systems

• LangGraph
• LangChain
• CrewAI
• Multi-agent systems
• Agent orchestration
• LLM evaluation frameworks
• Python
• APIs and distributed systems
• Cloud-native architectures
• Microservices
• CI/CD
• Production software engineering

AI Platforms

• OpenAI
• Bedrock
• Model evaluation and observability
• AI workflow automation

Who Thrives Here

• Writing code every day
• Building production systems instead of demos
• Experimenting with new AI frameworks
• Solving complex engineering problems
• Working across the full lifecycle from concept to production
• Wearing multiple hats in a fast-moving environment

Why Join?

• Apply cutting-edge AI to meaningful healthcare and life sciences challenges
• Build systems that create real-world impact
• Join a highly ambitious AI team with strong executive sponsorship
• Influence the long-term AI strategy, architecture, and platform direction
• Work on frontier AI problems while continuing to be deeply technical