AI developer openings in New York: Python, LLM, GenAI, full stack, and apprenticeships.
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Home feed and discovery ranking models for Spotify listeners worldwide.
Ship improvements to Transformers and inference APIs — NYC hub.
Atlas Vector Search and GenAI developer experience — NYC product engineering.
Build LLM tracing, eval, and cost monitoring products for Datadog customers.
Semantic search and ranking for Notion AI — NYC engineering hub.
Voice AI engineer for real-time speech models and developer APIs — NYC product engineering hub.
Benevolent AI careers: ML engineer linking biomedical literature, graphs, and predictive models for drug discovery teams.
Junior ML engineer on generative video models — training pipelines, evals, and dataset tooling for creative AI products.
Ship Llama-powered assistants across Meta family apps.
Integrate models into real-time editing tools with strict UX latency budgets.
Train and distill generative video models for creator workflows.
Scale model hub inference and Spaces infrastructure for millions of users.
The AI developer market in New York (New York) stays competitive: LLM, RAG, agents, MLOps, and GenAI in product. Employers want Python, Java, or full-stack profiles who ship to production—not just prototypes.
On Ganloss, listings focus on the AI ecosystem: scale-ups, consultancies, finance, and enterprise transformation. Posted salary ranges help you compare before applying.
Common stack: Python, PyTorch or TensorFlow, LLM APIs (OpenAI, Anthropic), LangChain/LlamaIndex, Docker/Kubernetes, SQL, and cloud (AWS, GCP). Enterprise GenAI also hires full-stack Java/Angular profiles.
Recruiters value production skills (tests, observability, latency), product collaboration, and agile delivery. Apprenticeships and internships remain strong entry paths.
Create your Ganloss profile, turn on email alerts, and target posts with salary shown. Bring a portfolio (GitHub, RAG/agent projects) and tune your résumé for LLM, MLOps, Python, GenAI.