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Remote Python Api Developer Jobs in Chula Vista, CA

TEAM

Full Stack Developer

San Diego, CA · On-site +1

Job type: Full Time / Hybrid (2 days remote, 3 days in office) Location: 3131 Camino del Rio N, Ste ... Next.js, and Python. * Experience with REST API design, integrations, and interoperability.

Lendsure Mortgage Corp

Encompass Developer

San Diego, CA · Remote

$95K - $125K/yr

Candidates who can work onsite in San Diego, CA or Kennesaw, GA are preferred; however, remote ... REST API integrations and system-to-system connectivityAnalyze, troubleshoot, and resolve LOS ...

DivIHN

Sr SW Test Development Engineer - Remote

San Diego, CA · On-site +1

$117K - $152K/yr

San Diego, CA (Remote) Ocasional office visits required only for hardware pickup and meetings in ... Candidates with Python and strong OOP programming experience can also be considered if they are ...

Axos Bank

Lead Enterprise Architect

San Diego, CA · On-site +1

$185K - $225K/yr

Remote or Hybrid in not available. Axos Bank is seeking an experienced Lead Enterprise Architect to ... API-first, and DevOps. * Leverage the latest technologies and tools, such as AI, machine learning ...

Singular Genomics

Software Engineer

San Diego, CA · On-site +1

If remote, travel to the headquarters in San Diego, CA will be required at least quarterly ... Solid Python skills; comfortable working in a large, production codebase with real operational ...

Singular Genomics

Software Engineer

San Diego, CA · On-site +1

If remote, travel to the headquarters in San Diego, CA will be required at least quarterly ... Solid Python skills; comfortable working in a large, production codebase with real operational ...

Dexcom, Inc.

Staff Software Developer

San Diego, CA · On-site +1

You design, develop, and maintain robust, scalable software applications using Python or JavaScript ... Remote Workplace: * Your location will be a home office; you are not required to live within ...

Hired Recruiters

Senior Software Engineer

San Diego, CA · Remote

$120K - $180K/yr

Location: 100% US/Canada remote * In Office Locations: San Francisco, San Diego, Toronto * ~60 ... Node, Python, React, MongoDB, AWS * Visa Support Unknown About the Role * Contribute to the ...

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Remote Python Api Developer information

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How much do remote python api developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote python api developer in Chula Vista, CA is $60.77, according to ZipRecruiter salary data. Most workers in this role earn between $50.10 and $69.04 per hour, depending on experience, location, and employer.

What does a remote Python API developer do?

A Remote Python API Developer is responsible for designing, building, and maintaining application programming interfaces (APIs) using the Python programming language. These developers work from remote locations, collaborating with teams via online tools to create scalable and efficient APIs that allow different software applications to communicate. Their tasks often include writing clean and secure code, integrating third-party services, troubleshooting issues, and ensuring that APIs meet performance and security standards.

What are the key skills and qualifications needed to thrive as a remote Python API developer?

To thrive as a Remote Python API Developer, you need a solid understanding of Python programming, experience with RESTful API design, and familiarity with frameworks such as Django or Flask, often supported by a relevant degree or certifications. Proficiency in using version control systems like Git, API documentation tools (e.g., Swagger), and cloud platforms (such as AWS or Azure) is typically expected. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for success in this role. These competencies ensure robust API development, seamless team collaboration, and reliable delivery of scalable software solutions in a remote work environment.

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

Remote Python API Developers often face challenges such as coordinating with distributed teams across time zones, ensuring clear communication about API requirements, and managing code consistency and integration. To overcome these, it's important to use collaborative tools like version control systems, participate actively in code reviews, and schedule regular check-ins with team members. Adopting well-documented coding standards and leveraging automated testing can also help maintain code quality and streamline collaboration.

What is the difference between Remote Python Api Developer vs Remote Backend Developer?

AspectRemote Python Api DeveloperRemote Backend Developer
Required SkillsPython, API design, RESTful servicesMultiple languages (Python, Java, Node.js), database management
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, tech startups, enterprises
Common Industry UsageWeb services, API development, SaaS platformsFull-stack or server-side development across industries

Remote Python Api Developers focus specifically on designing and maintaining APIs using Python, often working on web services and SaaS platforms. Remote Backend Developers have a broader scope, working with multiple programming languages and handling server-side logic across various industries. While both roles require backend skills, the Python Api Developer specializes in API-centric tasks with Python as the primary language.

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

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

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

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

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

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

Remote Python Api Developer jobs near you
Infographic showing various Remote Python Api Developer job openings in Chula Vista, CA as of June 2026, with employment types broken down into 67% Full Time, 17% Part Time, 2% Temporary, 13% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,395 per year, or $60.8 per hour.

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

DivIHN

San Diego, CA • On-site, Remote

$110K - $152K/yr

Contractor

Posted 17 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.

Apply