Senior AI Engineer

Spara (Headquarters: Hybrid NYC (3-4 days in-office))

AI Senior Engineer LLM Machine Learning Fine-tuning Evaluation Python PyTorch TensorFlow OpenAI Anthropic FastAPI Postgres pgvector Google Cloud Docker GitHub Actions Enterprise AI Sales Tech AI Engineer

Spara builds enterprise-grade AI agents that instantly engage, qualify, and convert sales leads into revenue. We're solving a complex, high-impact sales problem ($28B market) through sophisticated multi-modal interactions—chat, email, voice, and beyond—leveraging leading-edge foundation models from OpenAI, Anthropic, and more. We're an experienced, tight-knit team backed by Radical Ventures & Inspired Capital, with support from AI luminaries including founders of PyTorch and Google Cloud TPU. Our team is passionate about building AI to drive real business outcomes for our customers. We believe in a hybrid human & AI GTM motion that helps companies efficiently grow revenue while simultaneously improving the experience for buyers.

Role: Senior AI Engineer

Responsibilities: Build and improve Spara's AI engine, fine-tune large language models (LLMs), implement and run evaluation frameworks, and optimize user interactions across multiple modalities (chat, email, voice). Work closely with the product and engineering teams to deliver high-quality AI features for enterprise sales. Contribute significantly to the technical direction of AI projects.

Technical Skills: Solid experience with Python, machine learning frameworks (like PyTorch or TensorFlow), LLMs (OpenAI, Anthropic, etc.), model fine-tuning, and evaluation techniques. Experience with cloud platforms (like Google Cloud) and vector databases (like pgvector) is beneficial. Familiarity with our tech stack (FastAPI/Python, React/TypeScript/Tailwind, Postgres/pgvector, Google Cloud, Docker, GitHub Actions) is required.

Ideal Candidate: A skilled AI engineer with significant experience in building and deploying machine learning models. Enjoys solving challenging technical problems, collaborating within a team, and working in a dynamic startup environment. Senior level implies significant technical contribution and autonomy in execution.