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Internship Remote Database Developer Jobs in Berkeley, CA

Arango

Developer Relations

San Francisco, CA · Remote

Location Remote - United States preferably Bay Area location About the Role Step into Arango ... Experience with graph databases, knowledge graphs, or GraphRAG. If you've built a knowledge graph ...

ArangoDB

Developer Relations

San Francisco, CA · On-site +1

$160 - $200/day

Location Remote - United States preferably Bay Area location About the Role Step into Arango ... Experience with graph databases, knowledge graphs, or GraphRAG. If you've built a knowledge graph ...

Workila

Infrastructure Engineer

San Francisco, CA · On-site +1

$126K - $166K/yr

Knowledge of database management including replication, failover, optimise * Experience working in ... Remote work not available TRAVEL Travel not required VISA Candidate visas are not supported ...

Hubs.is

Senior Backend Engineer

San Francisco, CA · On-site +1

Collaborate with frontend, product and devops teams to ensure seamless integration. * Architect for ... Databases : Hands-on expertise with both relational (Postgres) and document (MongoDB) databases ...

AppFolio

Sr. Software Engineer - Accounting

San Francisco, CA · On-site +1

$144K - $190K/yr

We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA ... Hands-on work/internship experience developing web-based applications, preferably in a SaaS ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

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All JobsDatabase Developer JobsInternship Remote Database Developer JobsInternship Remote Database Developer Jobs in Berkeley, CA

Internship Remote Database Developer information

See Berkeley, CA salary details

$32

$65

$98

How much do internship remote database developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship remote database developer in Berkeley, CA is $65.04, according to ZipRecruiter salary data. Most workers in this role earn between $53.27 and $73.61 per hour, depending on experience, location, and employer.

What does a remote database developer intern do?

A remote database developer intern assists in designing, developing, and maintaining databases from a remote location. Their tasks often include writing and optimizing SQL queries, supporting data migration, troubleshooting database issues, and collaborating with software developers and data analysts. The internship is designed to help students or entry-level professionals gain hands-on experience in database management systems, data modeling, and understanding the workflow of database projects. Working remotely, they use collaboration tools and version control systems to communicate with their team and manage their tasks effectively.

How do remote database developer interns typically collaborate with team members and mentors during their internship?

Remote database developer interns usually work closely with their teams through digital collaboration tools like Slack, Zoom, and project management platforms such as Jira or Trello. Regular check-ins, code reviews, and pair programming sessions are common practices to facilitate learning and ensure alignment on project goals. Mentorship is often structured through scheduled meetings and feedback sessions, allowing interns to ask questions and receive guidance on database design, optimization, and troubleshooting. Effective communication and proactive participation are key for interns to make the most of their remote experience.

What are the key skills and qualifications needed to thrive as an internship remote database developer, and why are they important?

To thrive as an Internship Remote Database Developer, you need a solid understanding of database fundamentals, SQL, and a relevant educational background in computer science or a related field. Familiarity with database management systems such as MySQL, PostgreSQL, or MongoDB, and experience with version control tools like Git are typically required. Strong problem-solving skills, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and project success. These skills and qualities enable efficient database development, maintain data integrity, and ensure effective teamwork in a remote work environment.

What is the difference between Internship Remote Database Developer vs Remote Data Analyst?

AspectInternship Remote Database DeveloperRemote Data Analyst
Required CredentialsBasic SQL knowledge, relevant coursework or certificationsStatistical, analytical skills, certifications in data analysis or related fields
Work EnvironmentRemote, often part-time or internship settingRemote, project-based or full-time roles
Employer & Industry UsageTech companies, startups, IT departmentsBusiness, finance, marketing, tech sectors
Search & Comparison IntentLearning, entry-level experience, skill developmentData interpretation, reporting, decision-making

The main difference is that an Internship Remote Database Developer focuses on developing and managing databases, often as an entry-level or learning role, while a Remote Data Analyst interprets data to provide insights. Both roles are remote and require analytical skills, but they serve different functions within organizations.

What cities near Berkeley, CA are hiring for Internship Remote Database Developer jobs?

Cities near Berkeley, CA with the most Internship Remote Database Developer job openings:

Internship Remote Database Developer jobs near you

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago

Job description

Job Description

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

As an LLM Application Engineer, you will build the intelligence layer that powers the AI experiences.  You will work at the intersection of Large Language Models (LLMs), software engineering, and product designing agent workflows, improving model behavior, and turning Artificial Intelligence (AI) capabilities into reliable user experiences.  You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation systems and continuously improving AI behavior in production.  This position is 100% Remote.

LLM Application Engineer Responsibilities:

- Build and ship LLM-powered applications and AI agent workflows.

- Design systems for reasoning, planning, memory, tool use and multi-step execution.

- Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions.

- Integrate Large Language Models (LLMs) with APIs, databases, search, internal services, and external tools.

- Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior.

- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.

- Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX.

- Optimize AI systems for quality, latency, and cost.

- Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.

- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.

LLM Application Engineer Outcomes:

- Artificial Intelligence (AI) features reach production quickly and deliver measurable user impact.

- LLM-powered workflows are reliable, scalable, observable, and maintainable.

- Artificial Intelligence (AI) quality improves through systematic evaluation, experimentation, and iteration.

- Artificial Intelligence (AI) workflows become increasingly predictable, efficient, and cost-effective.

- Complex AI capabilities are translated into simple, intuitive user experiences.

Qualifications

LLM Application Engineer Qualifications:

- Artificial Intelligence (AI) experience required.

- Strong software engineering fundamentals with experience building AI-powered applications.

- Hands-on experience with Large Language Models (LLMs), generative AI, or agent-based systems.

- Experience designing prompts, workflows, evaluations, or AI behavior.

- Ability to write clean, production-quality code.

- Comfortable working across abstraction layers from model to system to product.

- Strong problem-solving skills in ambiguous, fast-moving environments.

- Bias toward shipping, iteration, and continuous improvement.

- Tech Stack:  Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models, Agent frameworks and orchestration systems, Vector databases and retrieval systems, Backend services, APIs, and distributed systems, and PyTorch / JAX.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Agent Frameworks, AI, Artificial Intelligence, AI Agent Workflows, APIs, Application Engineer, Backend, Databases, Distributed Systems, JAX, LLM, Large Language Model, LLM APIs, OpenAI-Compatible APIs, Orchestration Systems, Python, PyTorch, UX, User Experience, Vector Databases, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an LLM Application Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire LLM Application Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.ginastechjobs.com.

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