Lead AI Engineer

About the Company

We are an early-stage startup building a cutting-edge AI-powered platform that includes agentic workflows, conversational AI, and seamless integrations to generate high-quality training data. We are pushing the boundaries of AI and need a leader who is eager to explore and leverage the latest advancements in LLMs, multimodal AI, and autonomous agents.

Key Responsibilities

• AI Strategy & Innovation: Define and execute the AI roadmap, making key decisions on models, tools, and infrastructure.
• Hands-on Development: Architect and implement scalable AI-powered workflows, conversational agents, and adaptive learning systems.
• Agentic Workflows: Design AI agents capable of reasoning, planning, and executing complex workflows autonomously.
• Conversational AI: Develop state-of-the-art chatbot capabilities leveraging LLMs and fine-tuned models.
• Data Pipelines & Integrations: Build pipelines to collect, clean, and process training data from various sources, ensuring continuous model improvement.
• Cutting-Edge Experimentation: Rapidly test and deploy new AI frameworks, open-source models, and proprietary enhancements.
• Team Growth & Leadership: Hire, mentor, and lead a growing AI team as we scale.

Ideal Background & Experience

• 5+ years in AI/ML development, ideally in startup or fast-moving environments.
• Strong expertise in LLMs & agentic AI (e.g., OpenAI, Anthropic, Mistral, RAG, fine-tuning models).
• Experience with AI infrastructure & deployment (LLM hosting, vector databases, LangChain, auto-agents).
• Deep knowledge of modern AI frameworks (PyTorch, TensorFlow, Hugging Face, etc.).
• Familiarity with orchestration & data pipelines (Airflow, Kafka, Snowflake, Pinecone, Weaviate).
• Track record of launching AI-driven products from prototype to production.
• Passion for pushing AI boundaries—actively experimenting with cutting-edge research.
• Strong systems thinking & engineering fundamentals (cloud computing, microservices, distributed systems).
• Startup mindset: Bias toward action, self-sufficient, thrives in ambiguity.

Key Qualities & Signals of a Great Candidate

• Explorer mentality – stays ahead of AI trends, builds side projects, reads research papers.
• Product-oriented thinking – understands AI is a means to an end, not just an academic exercise.
• Open-source contributor – has built or contributed to AI/ML frameworks.
• Rapid prototyper – builds quickly and iterates based on real-world usage.
• Experience with AI personalization & reasoning – has worked on advanced RAG, multi-agent coordination, or synthetic data training.

• Competitive salary and equity offer.
• Unlimited PTO policy.
• Hybrid work model (2-3 days in our Williamsburg, Brooklyn office).
• Fully paid dental and vision insurance.
• Comprehensive health insurance.
• Learning and Development reimbursement program to support continuous growth.
• Employee Recognition Program to celebrate achievements and milestones.
• Opportunities for career growth and leadership development.
• Collaborative startup environment with a chance to make a significant impact.