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Remote Python Api Developer Jobs in Vernon Hills, IL

Senior Okta Engineer

Chicago, IL · Remote

$109K - $148K/yr

REMOTE Position Type: Contract to hire (Position convert to fulltime after 6 months) Sr OKTA ... PowerShell, Python, or JavaScript Experience supporting high-availability, production IAM ...

Posted today

Senior Okta Engineer

Chicago, IL · Remote

$109K - $148K/yr

REMOTE Position Type: Contract to hire (Position convert to fulltime after 6 months) Sr OKTA ... PowerShell, Python, or JavaScript Experience supporting high-availability, production IAM ...

Posted today

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

... for Python applications, across a range of technologies from API services to event processing ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Kentico Developer

Rosemont, IL · Remote

$60 - $69/hr

Kentico Developer, Remote. Start date is ASAP for this Contract (through EOY, likely to extend ... Familiarity with REST API integrations, Salesforce, Pardot, GA4, or Google Tag Manager

Showing results 41-60

Remote Python Api Developer information

See Vernon Hills, IL salary details

$12

$57

$84

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

As of Aug 12, 2026, the average hourly pay for remote python api developer in Vernon Hills, IL is $57.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $64.86 per hour, depending on experience, location, and employer.

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 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 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 job categories do people searching Remote Python Api Developer jobs in Vernon Hills, IL look for? The top searched job categories for Remote Python Api Developer jobs in Vernon Hills, IL are:
What cities near Vernon Hills, IL are hiring for Remote Python Api Developer jobs? Cities near Vernon Hills, IL with the most Remote Python Api Developer job openings:

Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc.

Chicago, IL • Remote

Full-time

Posted 28 days ago


Job description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Agentic Design & Implementation
● Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
● Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.


AI on Data Strategy
● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
● Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".


Operational Excellence (Soft Skills)
● Active Participation: Show up promptly for all internal and client-facing meetings.
● Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
● Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
● Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.
Technical Qualifications
● Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
● Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
● Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
● Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.