AI Engineer

2 weeks ago

Tel Aviv, Tel Aviv, Israel hear Full time ₪70,000 - ₪120,000 per year

About us

Hear is an innovative early-stage startup dedicated to shaping the future of conversational intelligence. We are passionate about AI, technology, and addressing real-world challenges. We uphold high safety standards for our products and foster a collaborative environment with exceptional people.

About the role

We're looking for an
AI Engineer
to design, build, and deploy
next-generation AI systems
powering Hear's conversational analytics and agentic intelligence platform.

This role is ideal for someone who loves
pushing LLM capabilities forward
, enjoys experimenting with
autonomous AI frameworks
, and stays
ahead of the curve
on emerging AI technologies. You'll work with tools like
LangChain
,
LangGraph
,
Claude
,
Cursor
, and
Pydantic AI
- and optimize deployments using
vLLM
and
GCP
.

Responsibilities

  • Design, develop, and optimize AI models for conversational intelligence, analytics, and autonomous workflows.
  • Build LLM-based systems leveraging LangChain, LangGraph, and similar orchestration frameworks.
  • Integrate Claude and other LLM APIs into production-ready applications.
  • Use Cursor and AI-assisted coding workflows to accelerate model prototyping and deployment.
  • Fine-tune large language models (LLMs) for task-specific use cases and evaluate performance improvements.
  • Deploy and scale inference using vLLM or equivalent high-performance serving frameworks.
  • Implement and manage monitoring, logging, and performance tracking with DataDog.
  • Work closely with cross-functional teams to integrate AI pipelines into customer-facing products deployed on GCP.
  • Stay up to date with the latest AI research, frameworks, and tools to continuously improve our platform's capabilities.

Qualifications

  • At least 4 years of hands-on experience with machine learning/AI frameworks is required
  • Practical experience with
    LLM frameworks
    such as LangChain, LangGraph, or equivalent.
  • Familiarity with AI-assisted coding tools (e.g., Cursor, Copilot).
  • Bachelor's or Master's degree in Computer Science or a related field with a focus on AI/ML.
  • Familiarity with GCP/AWS, efficient inference serving for large language models (advantage), and deployment/monitoring of AI systems in production, including the use of DataDog.
  • Excellent problem-solving abilities and a passion for innovation.

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