Junior AI Engineer (Full Remote)

Jobs
Asendia AI

Asendia AI

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Posted on: 7 June, 2025

Junior AI Engineer (Full Remote)

About Asendia AI

Asendia AI is building the future of job search and hiring through AI. We help job seekers find the right opportunities through a smart AI career coach and help companies hire faster by vetting technical talent through real-time AI interviews. We work with early-stage startups, fast-growing tech companies, and talent from top global universities.

🚀 This position is for one of Asendia AI’s trusted partners.

We’re hiring an AI Engineer to help build and deploy cutting-edge AI features, including intelligent job matching, interview simulation, and conversational agents. You’ll work on real-world systems that impact thousands of users and collaborate closely with cross-functional teams to turn ideas into products.

What You’ll Do

  • Design and implement AI-powered features across NLP, recommendation, and classification
  • Work with product and engineering teams to integrate models into production environments
  • Develop scalable pipelines for data collection, preprocessing, training, and evaluation
  • Fine-tune pre-trained models (e.g., LLMs) to solve specific user problems
  • Continuously monitor, evaluate, and improve AI system performance
  • Stay current with research and apply relevant innovations to product use cases

What We’re Looking For

  • 1–4 years of experience working with applied AI/ML systems
  • Strong proficiency in Python and libraries such as PyTorch, Hugging Face, or TensorFlow
  • Understanding of NLP techniques, embeddings, and generative models
  • Familiarity with model deployment and API integration
  • Experience with real-world datasets and data preprocessing
  • Strong communication and problem-solving skills
  • Comfortable working in a remote, collaborative team environment

Nice to Have

  • Experience building chatbots, recommendation systems, or search/ranking models
  • Familiarity with ML Ops tools (e.g., MLflow, Airflow)
  • Background in computer science, applied math, or related fields
  • Prior experience at an early-stage startup or product-led team

Tags:
ai
ml
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