Artificial Intelligence Engineer

Coriell Institute for Medical Research
Philadelphia, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 100K

Job location

Philadelphia, United States of America

Tech stack

Java
API
Artificial Intelligence
Artificial Neural Networks
Computer Vision
C++
Computer Programming
Databases
Distributed Systems
Python
Machine Learning
Performance Tuning
TensorFlow
Software Deployment
Software Engineering
Systems Architecture
Enterprise Software Applications
PyTorch
Large Language Models
Multi-Agent Systems
Prompt Engineering
Deep Learning
Model Validation
Generative AI
Scikit Learn
Information Technology
Optimization Algorithms
Machine Learning Operations
Virtual Agents
Data Pipelines
Automation Anywhere

Job description

Coriell is looking to hire a skilled and innovative Artificial Intelligence (AI) Engineer to design,

develop, and implement advanced AI models and intelligent systems for a variety of business and

technology applications. This role involves working across multiple domains of machine intelligence, including machine learning, neural networks, computer vision, and Agentic AI systems, to create scalable and high-performing AI-driven solutions.

The ideal candidate will collaborate closely with cross-functional teams and business stakeholders to deliver AI solutions that improve operational efficiency, enhance service delivery, automate decision-making, and support product innovation., * Design, develop, and implement artificial intelligence and machine learning models for diverse applications.

  • Research and apply advanced AI techniques, including machine learning, deep learning, neural networks, computer vision, and Agentic AI frameworks.
  • Design and develop autonomous AI agents capable of reasoning, planning, task execution, tool usage, and multi-step decision-making.
  • Build and orchestrate multi-agent systems that interact with enterprise applications, APIs, databases, and external tools.
  • Develop AI-powered workflows using large language models (LLMs), retrieval-augmented generation (RAG), memory systems, and agent orchestration frameworks.
  • Train, evaluate, and optimize AI models for accuracy, scalability, efficiency, interpretability, and autonomous task performance.
  • Design and maintain AI system architectures, including data pipelines, model workflows, APIs, vector databases, and integration components.
  • Collaborate with business stakeholders to identify opportunities for AI-driven automation and intelligent process optimization.
  • Develop and implement optimization strategies to improve model and agent performance, reliability, and response quality.
  • Deploy AI and Agentic AI solutions into production environments while ensuring scalability, security, stability, and seamless integration with existing systems.
  • Monitor AI system performance and continuously improve solutions based on feedback, analytics, and operational metrics.
  • Ensure adherence to best practices in AI governance, responsible AI, security, and software engineering.
  • Stay current with emerging AI technologies, LLM ecosystems, autonomous agent frameworks, and industry trends.

Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • 2+ Years Experience (Full-time Equivalent Preferred) with AI/ML frameworks and technologies such as TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, AutoGen, CrewAI, or similar tools.
  • 2+ Years Experience (Full-time Equivalent Preferred) developing and deploying Agentic AI applications and autonomous AI workflows using large language models (LLMs).
  • Previous Experience integrating AI systems with APIs, databases, vector stores, and enterprise platforms.

Preferred Qualifications

  • Proficiency in programming languages such as Python, Java, or C++.
  • Knowledge of prompt engineering, retrieval-augmented generation (RAG), embeddings, memory architectures, and AI orchestration techniques.
  • Experience designing and deploying machine learning models and AI agents in production environments.
  • Knowledge of cloud platforms, scalable distributed systems, and MLOps practices.
  • Understanding of machine learning algorithms, neural networks, optimization techniques, and model evaluation methods.
  • Experience collaborating with cross-functional teams in agile or product-driven environments.
  • Strong analytical, problem-solving, and communication skills.

Key Competencies:

AI/ML Model Development, Neural Networks, Agentic AI, Autonomous Systems, Large Language Models (LLMs), Multi-Agent Orchestration, Prompt Engineering, System Architecture Design, Data Pipeline Development, Production Deployment & Scalability, Performance Optimization, Cross-functional Collaboration, Problem Solving Skills

Benefits & conditions

The starting salary for this role is $100,000. The position is eligible for common health & welfare benefits, participation in our 403(b) plan, a 7% Month Contribution to a 401(a), 20 days of PTO, 10+ Paid Holidays, and 7 Paid Sick days per year. The role would be afforded a suite of employer-paid life and disability insurance, which is available for all full-time employees.

About the company

Now in its 73rd year, Coriell Institute for Medical Research is an independent non-profit research center dedicated to the study of the human genome. Expert staff and pioneering programs in the fields of molecular and cellular biology, genetics, genomics and epigenomics, and biobanking drive our mission. To learn more, visit www.coriell.org. Any offer of employment extended by Coriell is contingent on an applicant's ability to be Authorized to Work in the United States of America. Upon date of hire, all employees are required to provide whichever valid Employment Authorization Documents they wish, as long as it is in compliance with Federal Regulations.

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