Agent Engineer

Kaizen Stackup

$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, or related field
  • Strong proficiency in Python and TypeScript
  • Solid understanding of software engineering principles
  • Experience with machine learning frameworks like TensorFlow and PyTorch
  • Familiarity with natural language processing techniques
  • Knowledge of reinforcement learning and decision-making algorithms
  • Excellent communication skills and teamwork
  • Proven track record of high-quality software delivery

Responsibilities

  • Design and implement intelligent agent architectures using cutting-edge techniques
  • Develop and optimize algorithms for decision-making and problem-solving
  • Collaborate with cross-functional teams for system integration
  • Implement and maintain scalable, efficient code for agent systems
  • Conduct experiments and analyze results to enhance agent capabilities
  • Stay current with AI advancements and apply new techniques
  • Participate in code reviews to improve development practices
  • Debug and troubleshoot complex behavioral issues in agents
  • Write clear technical documentation for systems and algorithms
  • Mentor junior engineers to foster team growth

Benefits

  • Dynamic work environment driven by innovation
  • Collaboration with top experts in AI and machine learning
  • Opportunity to work on groundbreaking AI technologies
  • Potential for professional development and career advancement
  • Mentorship opportunities to enhance coding and engineering skills
Full Job Description
Full-time Agent Engineer
Job Description

We are seeking a talented and motivated Full-time Agent Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining sophisticated AI agents that can perform a wide range of tasks autonomously. You will work closely with our research, product, and data science teams to bring innovative ideas to life and create agents that can understand and respond to human language, make decisions, and solve complex problems.
Key Responsibilities
  • Design and implement intelligent agent architectures using state-of-the-art machine learning and natural language processing techniques
  • Develop and optimize algorithms for agent decision-making, planning, and problem-solving
  • Collaborate with cross-functional teams to integrate agent systems into various applications and platforms
  • Implement and maintain robust, scalable, and efficient code for agent systems
  • Conduct experiments and analyze results to improve agent performance and capabilities
  • Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques to enhance our agent systems
  • Participate in code reviews and contribute to the improvement of our development practices
  • Debug and troubleshoot complex issues in agent behavior and performance
  • Write clear and comprehensive technical documentation for agent systems and algorithms
  • Mentor junior engineers and contribute to the growth of the team's technical expertise
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
  • Strong proficiency in Python and TypeScript
  • Solid understanding of Software Engineering principles and best practices
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with natural language processing techniques and libraries (e.g., NLTK, spaCy)
  • Knowledge of reinforcement learning and decision-making algorithms
  • Strong problem-solving skills and ability to think creatively
  • Excellent communication skills and ability to work effectively in a team environment
  • Proven track record of delivering high-quality software projects
Preferred Qualifications
  • Experience with developing conversational AI or chatbot systems

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