Artificial Intelligence (AI) Engineer

TechSur Solutions

$90K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in AI/ML focusing on agents and autonomous systems
  • Experience with OpenAI GPT models and APIs
  • Proficient in Python, familiar with TensorFlow, PyTorch
  • Hands-on with reinforcement learning and deep learning
  • Familiar with cloud platforms like AWS and GCP, and Docker/Kubernetes
  • Strong problem-solving and collaborative skills
  • Excellent communication skills for technical and non-technical audiences

Responsibilities

  • Design AI agents using OpenAI's GPT models for real-world problem-solving
  • Collaborate with teams to integrate AI into products
  • Implement and enhance NLP capabilities for user interaction
  • Develop multi-agent systems that cooperate to achieve goals
  • Create training and deployment pipelines for AI models
  • Research reinforcement learning to boost agent adaptability
  • Analyze and optimize AI agents for performance and scalability
  • Stay up-to-date with advancements in AI technologies

Benefits

  • Hybrid work model (3 days in-office)
  • Opportunity to work with innovative technologies
  • Collaborative team environment
  • Contributions to impactful projects within the judicial sector
  • Potential for professional development and continued learning in AI/ML
Full Job Description
Job Description

Role: Artificial Intelligence (AI) Engineer

Client: US Courts

Duration: Full time position

Location: Reston, VA (Hybrid - 3x/Week)

We are seeking a highly motivated AI Engineer with a strong focus on OpenAI technologies to join our growing team. The ideal candidate will have a deep understanding of AI models, multi-agent systems, and the ability to design, develop, and implement intelligent agents capable of autonomous problem-solving and decision-making. Your work will contribute to creating innovative AI-driven applications and solutions that integrate cutting-edge advancements in artificial intelligence, including GPT models, reinforcement learning, and natural language processing.

Job Responsibilities
  • Design and develop AI agents leveraging OpenAI's GPT models and APIs to solve complex problems in real-world environments.
  • Collaborate with cross-functional teams to integrate AI agents into products, services, and tools.
  • Implement and fine-tune natural language processing (NLP) capabilities for AI agents, improving their comprehension and interaction with users.
  • Develop autonomous, multi-agent systems capable of communicating, learning, and collaborating to perform tasks and achieve goals.
  • Create pipelines for training, fine-tuning, and deploying AI models on various platforms, ensuring scalability and efficiency.
  • Research and integrate reinforcement learning techniques to improve agent performance and adaptability.
  • Analyze, debug, and optimize AI agents for performance, robustness, and scalability.
  • Stay current with the latest advancements in AI, ML, and NLP, particularly OpenAI's technology stack.
  • Contribute to creating best practices and documentation for the development and deployment of AI agents.

Required Skills/Qualifications
  • 3+ years of experience in AI/ML development, with a focus on AI agents, multi-agent systems, or autonomous systems.
  • Strong experience with OpenAI GPT models, APIs, and NLP technologies.
  • Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
  • Hands-on experience with reinforcement learning, deep learning, or generative models.
  • Familiarity with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
  • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders
  • Strong programming skills in languages such as Python, R, or Java.
  • Experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, or scikit-learn.
  • Strong problem-solving skills and the ability to work on multiple projects simultaneously.
  • Excellent communication and teamwork abilities.

Preferred Experience
  • Experience with large-scale model deployment in production environments.
  • Knowledge of ethical AI development practices and responsible AI usage.
  • Prior experience in developing conversational agents, virtual assistants, or autonomous systems.
  • Understanding of multi-agent coordination and communication protocols.
  • Passion for cutting-edge AI technologies and their applications.
  • Experience working with federal clients or within the government sector is preferred.


Qualifications

Education
  • Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, or a related field
  • Years of experience can be considered in lieu of degree


Additional Information

All your information will be kept confidential according to EEO guidelines.

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