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Overnight Python Llm Jobs (NOW HIRING)

OR · On-site

Make the call on what gets escalated to the US team overnight vs. waits for morning, and produce ... MCP, agentic AI platforms, LLM orchestration, or AI agent security - or strong evidence you can ...

Engineering Manager

San Francisco, CA · On-site

$250K - $300K/yr

... overnight rewrites * Own enterprise escalations end to end: a clear plan, crisp updates, and a fast ... a Python SDK and Proxy Server enabling seamless calls to 100+ LLM APIs in the OpenAI format ...

AI Research Engineer

$200K - $250K/yr

Expert Python developer * Familiar with openclaw and Claude Code harness architecture * Early-stage ... Experience designing LLM evals (offline + online, human-in-the-loop, synthetic data) * Publications ...

AI Forward Deployed Engineer

New York, NY · On-site

$180K - $250K/yr

You use feedback as fuel, turning customer insights into new ideas and features overnight. * You've shipped full-stack AI and LLM apps, and you know your way around Python, Postgres, and modern AI ...

AI Forward Deployed Engineer

New York, NY · On-site

$180K - $250K/yr

You use feedback as fuel, turning customer insights into new ideas and features overnight. * You've shipped full-stack AI and LLM apps, and you know your way around Python, Postgres, and modern AI ...

Overnight Python Llm information

See salary details

$23K

$140K

$202.5K

How much do overnight python llm jobs pay per year?

As of Jun 21, 2026, the average yearly pay for overnight python llm in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

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.

More about Overnight Python Llm jobs
What cities are hiring for Overnight Python Llm jobs? Cities with the most Overnight Python Llm job openings:
What are the most commonly searched types of Python Llm jobs? The most popular types of Python Llm jobs are:
What states have the most Overnight Python Llm jobs? States with the most job openings for Overnight Python Llm jobs include:
Infographic showing various Overnight Python Llm job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Founding Full-Stack Engineer (Backend-leaning)

Solstice Health

Manhattan, NY

Other

Medical

Posted 29 days ago


Job description

Why You Should Join Us

Solstice is redefining how life sciences organizations commercialize their products. We are building a commercial engine that allows pharmaceutical marketers to take control of their content supply chain. Some reasons for why you should join us are:

  • Rapid growth: Over the past year, we have been working with some of the top life sciences manufacturers as well as marketing agencies and are working with over 50+ pharma brands.

  • Frontiers of technology: We're building applications and rapidly iterating technical approaches at the frontiers of AI, experimenting with LLMs and new frameworks. We have V2 of the platform currently deployed to customers but are incorporating new, advanced frameworks to our solution aggressively.

  • Top-tier investors: We've raised $3.5mm+ from investors like Twelve Below, Virtue and the founders of Datavant, Commure, and Paradigm to supercharge our growth and build an elite team of engineers and operators.

Building anything great requires commitment and dedication. We're looking for someone who has the fire to prove others wrong

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