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Fastapi Programmer Jobs in Illinois (NOW HIRING)

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native ...

Infleqtion

Quantum Software Engineer

Chicago, IL · On-site

Position Summary This Quantum Software Engineer role will join the Compiler Team within Infleqtion ... Experience with backend development with tools such as FastAPI for web frameworks and PostgreSQL ...

Morningstar, Inc.

Senior Software Engineer

Chicago, IL · On-site

$153K/yr

Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native ...

Fitch Group

AI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Build robust production infrastructure - Develop enterprise-scale APIs (FastAPI) for deployment ... Demonstrate full-stack engineering excellence - Apply proficiency across the entire technology ...

Fitch Solutions

AI Engineer

Chicago, IL

$57 - $73.50/hr

Build robust production infrastructure - Develop enterprise-scale APIs (FastAPI) for deployment ... Demonstrate full-stack engineering excellence - Apply proficiency across the entire technology ...

OneStream Software

Senior AI Engineer

Chicago, IL · On-site

$107K - $147K/yr

Description Senior AI Engineer Location : Hybrid, United States Employment Type : Full-Time ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Knowledge of distributed ...

OneStream

Senior AI Engineer

Chicago, IL

$107K - $147K/yr

Senior AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Knowledge of distributed ...

Optiver

Senior Production Software Engineer

Chicago, IL · On-site

$200K/yr

Optiver is looking for an experienced Production Software Engineer with responsibilities for ... Experience with technologies such as Ansible, Django, FastAPI, Flask, Jenkins, Hashicorp Vault ...

Walker Consultants

Data Platform Engineer

Chicago, IL · Hybrid

$85K - $120K/yr

Experience with FastAPI, Flask, Express, or similar backend frameworks. * Experience with CI/CD tools such as GitHub Actions or Azure DevOps. * Familiarity with Prisma, SQLAlchemy, Alembic, or other ...

Walker Consultants

Data Platform Engineer

Chicago, IL · On-site

$85K - $120K/yr

Experience with FastAPI, Flask, Express, or similar backend frameworks. * Experience with CI/CD tools such as GitHub Actions or Azure DevOps. * Familiarity with Prisma, SQLAlchemy, Alembic, or other ...

Walker Consultants

Data Platform Engineer

Chicago, IL · Hybrid

$85K - $120K/yr

Experience with FastAPI, Flask, Express, or similar backend frameworks. * Experience with CI/CD tools such as GitHub Actions or Azure DevOps. * Familiarity with Prisma, SQLAlchemy, Alembic, or other ...

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GCP Gemini AI Developer

GCP Gemini AI Developer

Co-Sourcing Partners

Chicago, IL • On-site

Full-time

Re-posted 11 days ago

Job description

Job Title: GCP Gemini AI Developer (3-5 Years Experience)
Location: Remote / Hybrid - Chicago preferred
Employment Type: Contract / Full-Time
Reports To: GCP Technical Lead / AI Program Manager
Purpose
The GCP Gemini AI Developer will design, build, and deploy intelligent applications leveraging Google Cloud's Gemini models and Vertex AI platform. This role exists to operationalize advanced GenAI capabilities - including natural language understanding, multimodal reasoning, and generative automation - within scalable, secure, and production-ready cloud environments.
The developer will work hands-on across data engineering, AI model orchestration, and API integration to create AI-driven business solutions that reduce manual effort, enhance decision-making, and unlock measurable value from enterprise data.
Key Performance Outcomes (6-12 Months) Outcome What Success Looks Like Measurement 1. Gemini-Powered Solutions Deployed Design, develop, and deploy at least two Gemini-based AI solutions (e.g., document summarization, chat agent, or data extraction automation) using Vertex AI + Gemini APIs. Delivered to production with >90% accuracy and <2s response time. 2. Scalable Cloud Architecture Build a modular AI microservices framework using Cloud Run / Cloud Functions with integrated authentication, logging, and monitoring. Reusable components adopted in at least 3 future use cases. 3. RAG / Context-Aware Workflows Implement Retrieval-Augmented Generation (RAG) pipelines combining Gemini + BigQuery or vector databases for knowledge grounding. Demonstrated 25% reduction in hallucination or response variance. 4. Cross-Team Enablement Partner with Data, Automation, and AppDev teams to integrate Gemini AI into existing business workflows (e.g., UiPath, Power Platform, or ServiceNow). Minimum of 2 successful integrations with documented ROI. 5. Continuous Optimization Monitor, retrain, and improve AI models via Vertex AI pipelines and Model Monitoring. Demonstrated 15% performance gain over baseline models. Core Responsibilities
  • Design and deploy Gemini 1.5 Pro/Flash integrations via Vertex AI and Generative AI Studio.
  • Build serverless APIs and backend services for AI workflows using Cloud Run, Functions, or App Engine.
  • Develop data ingestion and preprocessing pipelines using BigQuery, Dataform, and Pub/Sub.
  • Apply prompt engineering and parameter tuning to improve generative model accuracy.
  • Implement RAG pipelines leveraging Vertex Matching Engine or Pinecone.
  • Collaborate with automation and data teams to embed AI into existing business processes.
  • Maintain compliance with security, privacy, and model governance standards.

Technical Environment
Core Google Cloud Services
  • Vertex AI, Generative AI Studio, Gemini API
  • BigQuery, BigQuery ML, Dataform
  • Cloud Run, Cloud Functions, Cloud Storage
  • Pub/Sub, Secret Manager, IAM, Cloud Build

Programming Stack
  • Python or TypeScript (Google Cloud SDKs, google-generativeai, aiplatform)
  • FastAPI / Flask / Node.js
  • LangChain / LlamaIndex for orchestration
  • SQL, Pandas, and Jupyter for data prep

Complementary Tools
  • Terraform (IaC)
  • GitHub / GitLab CI/CD
  • Vertex AI Pipelines & Model Registry
  • Vector DB (Vertex Matching Engine, Pinecone, or Weaviate)

Ideal Profile
  • 3-5 years hands-on GCP development experience with AI/ML exposure
  • Strong working knowledge of Vertex AI, Gemini models, and RAG pipeline design
  • Demonstrated ability to move AI prototypes into production
  • Strong communicator, able to collaborate across automation, data, and cloud teams
  • Curious problem-solver passionate about applied AI innovation

Success Metrics
  • Speed to Delivery: End-to-end deployment within 8-10 weeks per use case
  • Model Effectiveness: >90% accuracy or relevance rating from business stakeholders
  • Scalability: Framework reused for ≥3 additional AI initiatives
  • Business Impact: 25%+ improvement in productivity or efficiency from deployed use cases

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