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Remote Developer Jobs in Chula Vista, CA (NOW HIRING)

Job type: Full Time / Hybrid (2 days remote, 3 days in office) Location: 3131 Camino del Rio N, Ste 650, San Diego, CA 92108 Role Summary: TEAM is looking for a mid-level Full Stack Developer who is ...

As a Staff Software Developer, you'll join a passionate, collaborative team obsessed with ... Remote Workplace: * Your location will be a home office; you are not required to live within ...

Systems Integration Developer

San Diego, CA · On-site +1

$150K - $180K/yr

Gunderson Dettmer has an opening for a Systems Integration Developer . This position will design ... Hybrid schedule, may be considered for remote eligible The annualized base salary range for this ...

Substation Engineer

San Diego, CA · On-site +1

$95K - $140K/yr

Remote/Hybrid, to be confirmed Salary: $95,000-$140,000 annually, depending on experience Project Focus: Electric Utility / Substation Engineering Position Overview We are seeking an experienced ...

Substation Engineer

San Diego, CA · On-site +1

$95K - $140K/yr

Remote/Hybrid, to be confirmed Salary: $95,000-$140,000 annually, depending on experience Project Focus: Electric Utility / Substation Engineering Position Overview We are seeking an experienced ...

Substation Engineer

San Diego, CA · On-site +1

$95K - $140K/yr

Remote/Hybrid, to be confirmed Salary: $95,000-$140,000 annually, depending on experience Project Focus: Electric Utility / Substation Engineering Position Overview We are seeking an experienced ...

Encompass Developer

San Diego, CA · Remote

$95K - $125K/yr

We are seeking an experienced Encompass Developer to support, enhance, and optimize our loan ... Candidates who can work onsite in San Diego, CA or Kennesaw, GA are preferred; however, remote ...

Front-End Developer - Clearance Required

San Diego, CA · On-site +1

$110K - $128K/yr

Overview LMI is looking for an experienced mid-level Front-End Developer to help build and extend a ... This position can be remote with preference given to a San Diego, CA candidate. Responsibilities ...

Design verification engineer

San Diego, CA · Remote

$139K - $169K/yr

Remote anywhere in the USA and Canada Duration: Full-time (REMOTE) VISA: ONLY USC AND GC We are looking for humble geniuses, who believe that engineering has the potential to make the impossible ...

Front-End Developer - Clearance Required

San Diego, CA · On-site +1

$110K - $128K/yr

LMI is looking for an experienced mid-level Front-End Developer to help build and extend a ... This position can be remote with preference given to a San Diego, CA candidate. What You'll Do

ORA_REMOTE Description SAIC is seeking a highly experienced ICT (Information, Communications, Technology) Infrastructure Engineer to support the Army Reserve enterprise network across more than 700 ...

IOSDeveloper

San Diego, CA · On-site +1

$30 - $40/hr

Adidev Technologies is looking for entry and mid-level iOS and Android developers with at least 1 - 2 years of experience. Must be open to working onsite, no telecommuting/remote positions are being ...

Showing results 21-40

Remote Developer information

See Chula Vista, CA salary details

$17

$54

$84

How much do remote developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote developer in Chula Vista, CA is $54.77, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $67.02 per hour, depending on experience, location, and employer.

What is a remote developer?

Remote developers are software professionals who work from locations outside of a traditional office environment, often from home or co-working spaces. They use digital tools to collaborate with team members and clients, writing code, fixing bugs, and participating in project meetings online. Remote developers enjoy flexibility in their work location and hours, but they also need strong communication skills and self-motivation. This role is popular in the tech industry, enabling companies to access talent from around the world.

What does a remote developer do?

Remote developers, or remote software developers, design and create computer software programs and applications for their employer or client. Unlike in-house developers, remote developers work from home or another location outside of the office. As a remote developer, you discuss the kind of program you need to create, making sure to clarify with your department or with your client what they need in their application. You may develop an entirely new program or improve an existing one. Remote developers are responsible for a program’s overall function, and they design precise workflow charts that explain to programmers what code is needed for different aspects of the program. Remote developers may also design tests and protocols for the QA department to follow when they are testing the application.

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

To thrive as a Remote Developer, you need strong programming skills, problem-solving abilities, and experience with software development methodologies, often supported by a relevant degree or coding certifications. Familiarity with version control systems like Git, remote collaboration tools (e.g., Slack, Jira), and cloud-based development environments is typically required. Excellent self-motivation, time management, and clear written communication set standout remote developers apart. These skills and qualities are crucial for delivering high-quality code, collaborating effectively across distributed teams, and maintaining productivity independently.

What are some common challenges faced by remote developers, and how can they be managed effectively?

Remote developers often encounter challenges such as communication barriers, feelings of isolation, and managing work-life balance due to the lack of physical boundaries between home and work. To overcome these, it's important to establish clear communication channels with your team, set regular check-ins, and use collaboration tools effectively. Additionally, creating a dedicated workspace and setting defined work hours can help maintain productivity and personal well-being. Many companies also support remote developers through virtual team-building activities and flexible schedules.

What is the difference between Remote Developer vs Remote Software Engineer?

AspectRemote DeveloperRemote Software Engineer
Required CredentialsTypically a degree in Computer Science or related field; coding certificationsSimilar credentials; often includes certifications like AWS, Microsoft, or specific programming languages
Work EnvironmentRemote, often freelance or contract-based; independent work settingRemote, usually full-time employment with a company or organization
Employer & Industry UsageStartups, tech companies, freelance platformsLarge corporations, tech firms, enterprise-level projects
Common Search & ComparisonYesYes

Remote Developers and Remote Software Engineers share similar skills and credentials, often working remotely in tech environments. The main difference lies in their roles: Remote Developers typically focus on coding and building applications, while Remote Software Engineers may have broader responsibilities including system design and architecture. Both roles are in high demand and frequently searched for by employers and job seekers alike.

What are the most commonly searched types of Developer jobs in Chula Vista, CA?

The most popular types of Developer jobs in Chula Vista, CA are:

What are popular job titles related to Remote Developer jobs in Chula Vista, CA?

For Remote Developer jobs in Chula Vista, CA, the most frequently searched job titles are:

What job categories do people searching Remote Developer jobs in Chula Vista, CA look for?

The top searched job categories for Remote Developer jobs in Chula Vista, CA are:

What cities near Chula Vista, CA are hiring for Remote Developer jobs?

Cities near Chula Vista, CA with the most Remote Developer job openings:

Infographic showing various Remote Developer job openings in Chula Vista, CA as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,927 per year, or $54.8 per hour.

Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote

DivIHN

San Diego, CA • On-site, Remote

$110K - $152K/yr

Contractor

Posted 19 days ago


Key responsibilities

  • Develop asynchronous microservices using FastAPI with SSE or WebSockets to stream real-time LLM responses to front-end UIs.

  • Design, develop, and implement vector database infrastructure to capture information from diverse engineering sources.

  • Build and optimize data extraction and structuring pipelines for multi-modal data from unstructured documents.


Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Justeen at (224)-394-4903
Title: Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote
Duration: 6 Months with possible for extension
Location: Remote

Candidates must be available to work West Coast (PST) hours.
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Day to Day Responsibilities
  • RAG & Prompt Engineering: Craft and refine effective prompts for RAG, grounding, and context tuning to achieve optimal AI performance in product development.
  • High-Performance API Engineering: Develop asynchronous microservices (FastAPI) using Server-Sent Events (SSE) or WebSockets to stream real-time LLM responses to front-end UIs without backend timeouts.
  • Vector Database Infrastructure: Design, develop, and implement robust Vector Databases using LLMs and modern retrieval technologies to capture information from diverse engineering sources (PDFs, design docs, regulatory guidelines).
  • Data Extraction & Structuring Pipelines: Build and optimize pipelines to extract and structure multi-modal data (tables, text, images) from unstructured documents for LLM training, grounding, and runtime query execution.
  • LLM Fine-Tuning & Training: Fine-tune and train generative AI models using client's engineering data and domain knowledge to create high-accuracy, domain-specific models.
  • GenAI Application & Tool Development: Design and implement scalable backend APIs (FastAPI/REST) and UI integration interfaces so internal engineers can query knowledge bases and analyze data.
  • Automated Requirements Generation: Develop backend functionalities to automatically generate technical requirements from design documents, user stories, and system specification files.
  • Documentation & Knowledge Transfer: Thoroughly document architecture, code, REST endpoints, and model training procedures to enable seamless knowledge transfer to client's internal teams.
  • Cross-Functional Collaboration: Partner closely with Subject Matter Experts (SMEs), System Engineers, and V&V Test teams to optimize AI-powered workflows.
  • AI Guardrails, MLOps & Cost Governance: Implement hallucination checks, PII masking, and guardrails (e.g., NeMo Guardrails) for medical device context. Track token usage, latency, and costs using LangSmith or Vertex AI monitoring.
  • Collaborate closely with engineers and cross-functional teams to design and develop AI solutions.
  • Develop and integrate Generative AI applications and APIs.
  • Work with large datasets, document processing, and data pipelines.
  • Participate in problem-solving, solution design, and technical discussions.
  • Communicate effectively with team members and stakeholders.

Must-Have Qualifications :
  • Relevant Experience & STEM Foundation: 4+ years of professional software/ML engineering experience, with a dedicated AI/ML focus in the last 1-2 years.
  • Google Gemini / Vertex AI (Non-negotiable): Hands-on experience with the Gemini model family and Vertex AI, including deployment, grounding, and integration into production AI services. Hands-on experience with containerization (Docker) and deploying services via Cloud Run or GKE (Kubernetes).
  • Languages & AI Libraries: Proficiency in Python and modern ML/AI frameworks (PyTorch, LangChain, LangSmith) for building autonomous LLM agents, tools, and RAG pipelines.
  • Agent Building & Tool Calling: Proven experience building AI/LLM agents and tool-calling systems in Python against unstructured, multi-source data.
  • Context Engineering & RAG: Expertise in RAG pipelines, prompt engineering, context tuning, grounding, and Vector Databases (e.g., Milvus, Postgres/Pgvector). Clear understanding of advanced RAG architecture including Hybrid Search (Vector + Keyword), Re-ranking models, and semantic caching.
  • Unstructured Data Handling (Non-negotiable): Demonstrated ability to ingest, clean, extract, and structure text, tables, and images from unstructured documents (PDFs, design docs, regulatory files) for LLM training and usage.

Role Information
  • Generative AI Engineer role.
  • Experience in API development.
  • Hands-on experience with Google Gemini and Vertex AI.
  • Knowledge of Agentic AI frameworks and architectures.
  • Strong Python development skills, including experience with LangChain and related AI frameworks.
  • Open to candidates from any industry domain.

Required Skills :
  1. Full Stack Engineering - Building applications for AI-powered services (Backend APIs + Front-End Integration).
  2. Generative AI & LLM Platforms - 2+ years building RAG pipelines & LLM apps using Python, LangChain, and LangSmith.
  3. Agent Building & Unstructured Data - Building AI agents/tool-calling systems in Python and handling unstructured, multi-source data extraction (PDFs, docs).
  4. Strong hands-on experience in Artificial Intelligence and Generative AI
  5. Python programming expertise.
  6. Experience with LangChain and Agentic AI frameworks.
  7. Understanding data handling to pull data from PDFs, design docs, regulatory files

Preferred Skills :
  1. Direct experience architecting and serving custom REST APIs.
  2. Experience in regulated / compliance-sensitive domains (e.g., healthcare / medical device guidelines like FDA, ISO 13485).
  3. Experience integrating multiple LLM APIs beyond a single provider (OpenAI, Bedrock, Claude, or similar).

Additional Preferred Skills
  • Direct experience designing and deploying high-throughput REST APIs (e.g., FastAPI/Flask).
  • Familiarity with medical device development regulations and compliance (e.g., FDA guidelines, ISO 13485).
  • Experience integrating multiple LLM APIs beyond a single vendor (e.g., OpenAI, AWS Bedrock, Anthropic Claude).
  • Front-end development/integration experience for UI design (e.g., Streamlit, Gradio, React/Next.js integration).

Education Requirements:
  • Minimum Bachelors in Software/Computer/IT/Systems/Biomedical Engineering + 3 years

Required Testing:
  • Technical evaluation of Python proficiency, RAG architecture concepts, and API/Agent design.

Software Skills Required:
  • Languages: Python (AsyncIO, OOP), SQL.
  • AI & Agent Frameworks: PyTorch, LangChain, LangSmith, Vertex AI SDK.
  • API & Web Frameworks: FastAPI, Flask, REST APIs, Server-Sent Events (SSE).
  • Databases & Search: Milvus, Pgvector, Qdrant, Redis (caching).
  • Front-End Integration: Streamlit, Gradio, basic React/Next.js.
  • Testing & Guardrails: pytest, JUnit, LangSmith evaluation, NeMo Guardrails.
  • DevOps & Cloud: Docker, GCP (Vertex AI, Cloud Run, GKE), Git.

Required Certifications:
  • Professional certifications specific to AI/ML (e.g., Certified AI Professional / CAIP, Google Cloud ML Engineer) considered a plus.

Interview
  • Number of Interviews: 1,
  • Web Conference (Zoom/ TEAMs)
  • Live problem-solving and technical exercise during the interview.