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Internship Llm Engineer Intern Jobs (NOW HIRING)

ProNexus

Software Engineer Intern

... internship is for you if... * You've built backend systems in Python and want to go deeper. * Y ... Strong interest in GenAI / prompt engineering, with experience building LLM-powered features ...

WorldQuant

Role Summary We are looking for an enthusiastic Intern Software Engineer to support the AI/LLM ... Internship Duration * Full time for a period of 4 to 6 months starting Aug 2025 By submitting this ...

Workato

Intern, AI Engineering

San Francisco, CA

... Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and ... We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ...

Nelnet, Inc.

Intern - AI Engineer

Lincoln, NE · On-site

All Nelnet interns receive one-on-one mentorship, competitive pay, casual dress, flexible schedule ... Track developments in LLM frameworks, agent architectures, tooling, and industry approaches.

SWE Solutions

Construction Engineer Intern

Lombard, IL · On-site

$20 - $30/hr

Job Type Internship Description We are seeking a motivated and detail-oriented Construction Engineering Intern to join our team. This internship offers a valuable opportunity to gain hands-on ...

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How much do internship llm engineer intern jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for internship llm engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Llm Engineer Intern vs Software Engineering Intern?

AspectInternship Llm Engineer InternSoftware Engineering Intern
Required CredentialsRelevant coursework in machine learning, AI, or related fields; possibly some programming experienceComputer science or related degree; programming skills in languages like Java, Python, or C++
Work EnvironmentResearch-focused, often in AI or machine learning labs within tech companies or research institutionsDevelopment-focused, working on software projects in tech companies, startups, or IT departments
Employer & Industry UsagePrimarily in AI, machine learning, and research divisions of tech firms or academiaAcross software development, tech firms, startups, and IT services

The Internship Llm Engineer Intern typically focuses on machine learning and AI research, requiring coursework in related fields, while a Software Engineering Intern concentrates on software development with programming skills. Both roles are common in tech companies but differ in their focus and work environment.

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Internship Llm Engineer Intern jobs near you
Infographic showing various Internship Llm Engineer Intern job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Software Engineer Intern

Remote

ProNexus
Accounting Services • 51 - 200 employees
Learn more about ProNexusexternal

Full-time

Re-posted 11 days ago

Job description

We're building ProNexus: the all-in-one platform for sourcing human intelligence with AI.
Consulting and research teams rely on human experts for primary research-finding them, vetting them, scheduling them, capturing insights, and turning those insights into reusable knowledge. Today that work is fragmented across inboxes, spreadsheets, CRMs, and manual workflows.
ProNexus brings it together: AI-powered sourcing + outreach workflows + expert/CRM management + project execution + an "org memory layer" where insights compound over time instead of getting lost in decks and docs.
Right now it's two founders. We're looking for a Gen AI/Backend Software Engineer Intern (Python) who wants to ship production code, learn fast, and take real ownership-without "intern busywork."
This internship is for you if...
  • You've built backend systems in Python and want to go deeper.
  • You're excited about GenAI + agent workflows and can write strong prompts / schemas to get reliable outputs.
  • You like building one-off AI agents for specific workflows (extract → classify → enrich → route) and iterating until they're dependable.
  • You ship fast, unblock yourself, and don't need hand-holding to make progress.
  • You enjoy a tight feedback loop with founders and real users.

What you'll do
  • Build and ship backend features end-to-end (API → DB → integrations).
  • Implement and improve FastAPI endpoints, background jobs, and core services.
  • Work with Postgres (Supabase): schema changes, queries, performance, data integrity.
  • Integrate external systems (e.g., enrichment providers, outreach tooling, internal workflows).
  • Help us build one-off AI agents that automate internal + customer workflows (e.g., sourcing support, enrichment, summarization, extraction, classification, routing).
  • Write and iterate on prompts, few-shot examples, and structured outputs (JSON schemas) to make agent behavior consistent.
  • Improve agent quality with lightweight evals: small test sets, edge cases, regression checks, and prompt/version tracking.
  • Add tests, logging, and basic observability so we can move fast without breaking things.

Our current stack
  • Python (FastAPI)
  • Supabase (Postgres)
  • Render
  • React / Next.js + TypeScript (you don't need to be frontend-heavy, but bonus if you can contribute)
  • AI: LLMs + agent workflows

What we're looking for (requirements)
  • Strong Python fundamentals (clean code, typing hygiene, debugging ability).
  • Comfortable with HTTP APIs, JSON, auth patterns, and database-backed systems.
  • Strong interest in GenAI / prompt engineering, with experience building LLM-powered features (projects are totally fine).
  • Some experience shipping something real (project, internship, open source, production app).

Location / schedule
  • Remote
  • This is a fast-moving team-best for someone who can commit meaningful hours consistently.

Apply