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Kaleris

Associate AI Engineer

Posted Yesterday
Be an Early Applicant
In-Office or Remote
2 Locations
Entry level
In-Office or Remote
2 Locations
Entry level
Assist in developing GenAI agents and workflows, optimizing prompts, and integrating technologies, while contributing to documentation and learning from colleagues.
The summary above was generated by AI

Job Description:

Key Responsibilities
  • Support the development of GenAI agents and AI-based workflows under the supervision of senior engineers.
  • Assist in creating, optimizing, and evaluating prompts for Large Language Models (LLMs) and other generative systems.
  • Collaborate on integrating vector databases and retrieval-augmented generation (RAG) techniques to improve knowledge retrieval in AI applications.
  • Contribute to the documentation, testing, and deployment of GenAI solutions.
  • Participate in cross-team meetings and brainstorming sessions, sharing ideas and learning from experienced colleagues.
  • Help develop internal tools and automation tasks to streamline processes.
  • Stay current with emerging technologies by reading documentation, attending training, and participating in internal seminars.
Qualifications

Required:

  • Bachelor’s degree (or in final year) in Computer Science, Engineering, Data Science, or related field; relevant internship or project experience considered.
  • Programming proficiency in Python required; familiarity with JavaScript, Java, or C is a plus.
  • Foundational knowledge of GenAI principles (LLMs, RAG, agent workflows—via coursework, internships, or personal projects).
  • Familiarity with cloud services (AWS preferred) and version control (Git).
  • Effective verbal and written communication skills and willingness to learn.

Preferred:

  • Hands-on experience with a cloud platform (AWS, Azure, or GCP).
  • Practical exposure to frameworks like LangChain or vector databases and basics of front-end/back-end development.
  • Participation in research, hackathons, or open-source GenAI/ML projects.
  • AWS, cloud, or AI certifications are a plus.
Soft Skills
  • Curiosity, willingness to ask questions, and openness to feedback.
  • Team-oriented mindset and ability to work in a collaborative environment.
  • Reliable, detail-oriented, and proactive about learning and contributing.

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Top Skills

AWS
C
Git
Java
JavaScript
Python

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