AI Engineer
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
Opportunity in a pioneering startup focused on conversational AI with good prospects, but requires experienced professionals.
- Engagement in innovative conversational AI projects
- Dynamic startup culture with potential for impact
- Requires relevant experience and passion for AI
Pros
- Work at the cutting edge of conversational intelligence
- Dynamic startup culture fostering innovation
- Exposure to emerging AI technologies and frameworks
Cons
- Lower stability typical of early-stage startups
- Requires specific experience with LLM and conversational AI
- Potentially high workload depending on project phases
Who it's for
Mid to Senior level • Remote
Good fit
- Mid-Senior AI engineers with conversational AI experience
- Individuals interested in innovative technology solutions
- Candidates wanting to work in collaborative environments
Not recommended for
- Entry-level applicants or those without AI background
- Those preferring stable corporate job structures
- Candidates uncomfortable with startup risks
Motivation fit
Key skills
About the job
About usHear 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 roleWe’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.
