Join Jobzyn, a NextGen recruitment platform, as a Junior ML/AI Engineer. You'll contribute to the development of our cutting-edge AI solutions that power our intelligent matching algorithms, while working closely with our product and leadership teams to shape the future of recruitment technology.

As a Junior ML/AI Engineer, you will: Build AI Solutions: Support the development of machine learning models and LLM-based systems to enhance our recruitment workflows. Contribute to Agentic Workflows: Help implement AI agents using LangChain and LangGraph for automating multi-step recruitment tasks. Support Recommendation Systems: Assist in building and improving recommendation engines that match candidates to job opportunities. Integrate AI Features: Collaborate with the engineering team to integrate AI functionalities into our platform. Explore New AI Techniques: Stay up to date with the latest trends in AI and experiment with new tools, models, and frameworks. Collaborate with Teams: Work closely with senior engineers and the product team to align your contributions with product goals. Improve Systems: Participate in refining model accuracy and optimizing workflows for better performance.

You'll join a passionate team of innovators dedicated to transforming the recruitment industry through technology. Working directly with the CEO, CTO and product team, you'll have the opportunity to shape our AI strategy while collaborating with talented professionals across the organization.

Required: hands-on experience (internships and academic projects count) in machine learning or AI development. Solid Python programming skills and familiarity with ML/AI libraries such as TensorFlow, PyTorch, or Hugging Face. Exposure to working with Large Language Models (LLMs) and implementing AI-driven workflows. Basic understanding of recommendation systems or ranking/matching algorithms. Familiarity with software engineering fundamentals, including version control (e.g., Git) and basic CI/CD workflows. Willingness to learn and ability to communicate technical ideas clearly within a team. Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field. Nice to Have: Interest or initial exposure to LangChain, LangGraph, or building simple AI agents. Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases. Experience working on academic or personal projects that involved building or using ML pipelines. Curiosity about applied AI in the recruitment space and a desire to grow into more advanced AI system development over time.

- Hybrid and flexible work environment. - Opportunity to work with cutting-edge AI technologies and shape the future of recruitment. - Career growth path with leadership opportunities. - Company culture that values innovation, collaboration, and continuous learning.