AI/ML Engineer (Intern/CO-OP)

This is not an academic internship; it's a build-and-ship role. You will collaborate with the founding team to integrate intelligence into every layer of the hiring platform. You'll focus on creating usable AI systems that make a difference rather than just developing models.

• Prototype AI agents for candidate matching, workflow automation, or decision support.
• Fine-tune large language model (LLM) prompts and models for hiring-specific applications.
• Experiment with embeddings, vector databases, and retrieval-augmented generation (RAG) workflows.
• Integrate AI modules into platform processes alongside product and engineering teams.
• Conduct internal A/B tests and evaluate AI features.

• Currently pursuing a degree or diploma in Computer Science, Data Science, or a related field.
• Eligible for an unpaid co-op or internship placement.

• Have hands-on experience with Python, OpenAI APIs, and LangChain.
• Understand the difference between building a model and developing an entire system.
• Enjoy turning abstract ideas into working prototypes.
• Are interested in natural language processing (NLP), LLMs, recommendation systems, or agents.
• Are comfortable working quickly in ambiguous situations.

• Have built your own AI assistant, GPT, or participated in a hackathon project.
• Have experience with Pinecone, Weaviate, or FAISS.
• Have experience in prompt chaining or multi-agent systems.

• We move quickly, stay lean, and focus on real user problems.
• AI is a fundamental part of our infrastructure, not just a trend.
• Our culture emphasizes trust, ownership, and iteration - no micromanagement.

• Receive mentorship from experienced founders and operators.
• Gain real product exposure instead of engaging in busywork.
• Enjoy a remote-first, asynchronous, and flexible working environment.
• Work on portfolio-ready projects that make a real impact.
• Have the potential for equity opportunities as a long-term contributor.

Are you ready to shape the future of hiring? Apply Now.

Originally posted on Himalayas