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Overnight Python Llm Jobs (NOW HIRING)

SecondTalent

LLMOps Engineer

Phoenix, AZ · On-site

$160 - $230/hr

Prompts that drift, costs that spike overnight, evaluations that pass in dev and fail in prod ... Strong Python and TypeScript fluency for orchestration and tooling * LLM provider APIs (OpenAI ...

Home Depot

Senior Data Scientist, Delivery

Atlanta, GA · On-site

... LLM/Agentic workflows - Recent hands-on experience with LLM pipelines, RAG, or working with LLMs ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Boom Pay, Inc

AI Engineer

Austin, TX · On-site

$120K - $200K/yr

Product judgment and taste for LLM products. You can articulate what the model shouldn't do, where ... Backend-leaning full stack on Ruby and Python (Grape and Sequel) with React/Next.js and TypeScript ...

cbccompanies

Sr. Software Developer

Columbus, OH · On-site +1

$110K/yr

Proficiency in Python, JavaScript, and Java * Experience leveraging AI-assisted development tools ... LLM-based code generation) to improve code quality, velocity, and maintainability PREFERRED ...

New

LiteLLM AI Gateway

Head of Engineering

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 ...

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Overnight Python Llm information

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How much do overnight python llm jobs pay per year?

As of Aug 22, 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.

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Overnight Python Llm jobs near you
Infographic showing various Overnight Python Llm job openings in the United States 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, with an average salary of $139,971 per year, or $67.3 per hour.

Forward Deployed AI Engineer

Fuze HR Solutions Inc.

Mclean, VA • On-site

Full-time

Re-posted 6 days ago

Job description

Forward Deployed AI Engineer
Location: Washington, DC (McLean, VA – on-site 5 days/week)
Compensation: $150,000 – $200,000 + competitive equity
Clearance Required: SECRET

ABOUT THIS ROLE
We are seeking a Forward Deployed AI Engineer with approximately 4–6 years of experience to architect and deploy agentic AI systems supporting U.S. Government partners tackling fraud, waste, and abuse — a trillion-dollar challenge. You will work directly with federal agency stakeholders to understand complex mission requirements and translate them into production-ready technical systems. This role combines hands-on software engineering, applied AI development, data analysis, and partner-facing problem solving.

You will:
• Build and deploy agentic AI systems, including RAG pipelines, multi-agent frameworks, and tool-calling agents
• Embed directly with federal agency partners to understand mission needs and convert them into working technical solutions
• Analyze public, proprietary, and restricted government datasets to identify potentially fraudulent contractors and spending activity
• Build data pipelines and analytical workflows that help prevent future improper or fraudulent spending
• Own projects from initial requirements gathering through architecture, development, deployment, and iteration
• Integrate large language models with databases, APIs, analytical tools, and government systems
• Present technical concepts and system capabilities to both technical and nontechnical stakeholders
• Travel locally to government facilities throughout Washington, D.C., including the Pentagon and federal agency offices

This is a full-time position based in McLean, Virginia, requiring five days per week on-site. Local travel throughout the Washington, D.C. area is required, but the role does not involve regular cross-state or overnight travel.

REQUIREMENTS
• Approximately 4–6 years of relevant experience across software engineering, applied AI, machine learning, or AI research
• Strong Python engineering skills with demonstrated end-to-end delivery experience
• Experience building and deploying agentic AI or large language model systems into production
• Hands-on experience with RAG pipelines, multi-agent frameworks, tool-calling agents, or related LLM orchestration technologies
• Experience building data pipelines and working with large, complex, or fragmented datasets
• A combination of software engineering and AI/ML experience rather than a purely traditional software engineering background
• Experience working directly with customers, government stakeholders, operators, or other external partners
• Experience at a government-facing, defense technology, or national security technology company is strongly preferred
• Startup experience or another clear record of independently owning and delivering technical projects is preferred
• Experience with distributed systems, machine learning infrastructure, or reinforcement learning is a plus
• Bachelor's degree in computer science, machine learning, engineering, or a related technical field is preferred, although demonstrated technical depth is more important than a specific degree
• Must be willing to work on-site five days per week in McLean, Virginia
• Must be willing to travel locally to federal agency and government sites throughout Washington, D.C.

HOW TO APPLY
If you're passionate about building agentic AI systems that solve real mission-critical challenges for the federal government, we'd love to connect.

Apply online today!

Email agary@fuzehr.com for immediate consideration or Call/Text: 928-316-0629

Fuze HR is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

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