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Overnight Python Llm Jobs in New York (NOW HIRING)

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Overnight Python Llm information

What is the difference between Overnight Python Llm vs Data Scientist?

AspectOvernight Python LlmData Scientist
Required CredentialsPython programming, machine learning knowledge, possibly certificationsStatistics, programming, often a master's degree or higher
Work EnvironmentRemote or overnight shifts, focus on model deployment and maintenanceOffice or remote, data analysis, model building
Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech, consulting

Overnight Python Llm roles focus on deploying and maintaining large language models using Python, often requiring specific ML skills and working overnight shifts. Data Scientists analyze data, build models, and interpret results, typically with broader statistical expertise. While both roles involve Python and machine learning, the Overnight Python Llm is more specialized in language models and deployment, whereas Data Scientists have a wider scope in data analysis and insights.

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Overnight Python Llm jobs near you
Infographic showing various Overnight Python Llm job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

Founding Full-stack Engineer (Backend-leaning)

Manhattan, NY • On-site

Transformcap
See more jobs at Transformcapexternal

Other

Medical

Posted 11 days ago

Job description

About the role

We’re building Solstice to automate compliant, reference-backed pharma marketing. As a founding full-stack engineer, you’ll own core parts of the application stack, designing APIs, background workflows, and deployment pipelines, and you’ll be responsible for packaging and shipping LLM “agents” to production. Beyond development, you will be collaborating closely with co-founders Yiwen and Aris on all facets of the startup as we grow Solstice in the coming years as we ship fast, safe, and observable systems. Reach out to aris@solsticehealth.co to learn more.

What you’ll be working on
  • Backend services & APIs: Build and harden FastAPI services; design clean interfaces for ingestion, retrieval, annotation, and compliance checks.
  • Workers & queues: Stand up a reliable background job platform with Celery + Redis (scheduling, retries, idempotency, backoff, result stores).
  • Agent deployment: Package LLM/RAG agents (e.g., LangGraph/LangChain) into production service.
  • Cloud & infra: Ship to AWS, manage secrets, networking, autoscaling, and cost controls.
  • Integrations: Building robust, enterprise integrations with cloud platforms such as Veeva Promomats, Adobe, and Figma.
  • Pipelines & files: Orchestrate file processing (PDFs, images), OCR, embedding pipelines, and metadata enrichment at scale (S3-first design).
  • Data layer: Model clean schemas and access patterns for Postgres; use Redis for caching and rate-limiting; integrate vector DBs (Pinecone).
  • Frontend touchpoints: Contribute to our Next.js frontend where necessary.
Some ideal traits we’re looking for
  • Engineering chops. Relevant experience building systems & deploying enterprise-grade products
  • Independent thinking. While we believe specific skills can be taught, we need someone who has the ability to make decisions and drive results on their own.
  • Strong proficiency in full-stack web development technologies such as Python, FastAPI, Docker, AWS
  • Experience working with LLMs such as GPT, Claude and Gemini to create LLM-based workflows, RAG Pipelines and agentic solutions. (Either formally or through projects/experimentation)
  • Superb communication and collaboration skills. We believe in direct communication and willingness to provide as well as accept criticism.
  • Unreal work ethic. Diamonds were not made overnight.
Benefits
  • Medical insurance
  • Relocation support
  • Opportunity to work at a high-velocity and high-energy startup
  • Visa sponsorship (O-1) for internationals
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