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Async Remote Jobs in Chicago, IL (NOW HIRING)

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Chicago, IL (Remote) Employment Type: Full-Time Experience Required: 7-9 Years Visa Type: USC / GC ... Async Python * Parallel LLM & API Orchestration * SQL & Large Analytical Datasets * Azure / AWS ...

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Async Remote information

What is an async remote job?

Async Remote jobs are positions where employees work remotely and communicate asynchronously, meaning they don't need to be online or respond in real time. This allows team members to work across different time zones and manage their own schedules, focusing on productivity rather than constant availability. Async Remote work relies heavily on clear written communication and documentation, as well as tools like project management platforms and shared documents. These roles are popular in tech, writing, design, and other digital fields where independent, outcome-oriented work is possible.

What skills and qualifications are needed to thrive as an async remote worker?

To thrive as an async remote worker, you need strong time management, self-discipline, and the ability to work independently, often supported by experience in remote or distributed teams. Familiarity with collaboration tools such as Slack, Trello, Notion, and asynchronous communication platforms is typically essential. Excellent written communication, proactiveness, and adaptability set top performers apart in this environment. These skills enable effective collaboration, maintain productivity, and ensure project success across different time zones and flexible schedules.

What are common challenges of working in an async remote environment, and how can they be addressed?

One common challenge in async remote roles is maintaining clear and effective communication, as team members often work in different time zones and may not be available simultaneously. To address this, it's important to document discussions thoroughly, use project management tools to track progress, and set clear expectations for response times. Building trust through regular updates and proactively sharing your work can also help foster collaboration and keep everyone aligned, even without real-time interactions.

What is the difference between Async Remote vs Full-Stack Developer?

AspectAsync Remote
Required Credentials
Work Environment
Employer & Industry Usage
Comparison Summary

Async Remote refers to a work style emphasizing flexible, asynchronous communication, often used across various roles including developers. Full-Stack Developers are specific technical professionals responsible for both front-end and back-end development. While Async Remote describes how work is done, Full-Stack Developer describes the job role. Many Full-Stack Developers work remotely, sometimes asynchronously, but Async Remote can include roles beyond development. Understanding this distinction helps job seekers identify roles that match their skills and preferred work style.

What are the most commonly searched types of Async jobs in Chicago, IL?

The most popular types of Async jobs in Chicago, IL are:

Async Remote jobs near you
Infographic showing various Async Remote job openings in Chicago, IL as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% Remote job distribution.

Senior GenAI/Python Engineer

Northern Base

Chicago, IL • Remote

$124K - $167K/yr

Full-time

Posted 21 days ago

Job description

Hiring Alert | Senior GenAI/Python Engineer

Location: Chicago, IL (Remote)
Employment Type: Full-Time
Experience Required: 7–9 Years
Visa Type: USC / GC Only

Must-Have Skills:
  • Advanced Python Development
  • Production-Grade Python Coding
  • GenAI / LLM Application Development
  • OpenAI / Azure OpenAI / Anthropic / AWS Bedrock
  • Agentic AI Development
  • LLM-Powered Agents
  • LangChain / LangGraph / LlamaIndex
  • Intent Classification
  • Agentic Extraction & Multi-Step Orchestration
  • Function Calling & Tool Use
  • Prompt Engineering
  • Structured LLM Output
  • JSON Schema & Pydantic
  • RAG & Vector Search
  • Embeddings & Chunking
  • Hybrid Search & Reranking
  • Entity Resolution & Fuzzy Matching
  • Confidence Scoring & Disambiguation
  • Vector Databases: pgvector / Pinecone / Weaviate / OpenSearch
  • FastAPI / Flask / Django
  • Async Python
  • Parallel LLM & API Orchestration
  • SQL & Large Analytical Datasets
  • Azure / AWS / GCP
  • Pytest & Test Automation
  • Git & CI/CD
  • Docker
  • Guardrails & Validation
  • GenAI Evaluation & Regression Testing
Preferred Experience:
  • 5+ years of advanced professional Python development
  • 1.5+ years of hands-on production GenAI / LLM application development
  • Experience building domain-specific agents and agentic workflows
  • Experience developing natural-language-to-structured JSON payload pipelines
  • Strong experience with structured output enforcement and JSON schema validation
  • Experience implementing retry, repair, validation, and error-handling strategies for LLM outputs
  • Experience designing RAG and semantic search solutions
  • Experience with entity resolution, fuzzy matching, confidence thresholds, and disambiguation
  • Experience building FastAPI-based microservices
  • Experience with asynchronous Python and parallel API/LLM calls
  • Experience developing evaluation harnesses, test sets, and regression frameworks
  • Experience with metadata/catalog services and entitlement-aware data access
  • Experience collaborating with platform, data, service, and product teams
  • Strong experience with code reviews, design discussions, and production readiness reviews
  • Excellent technical documentation skills including Confluence, ADRs, sequence diagrams, and flow diagrams
  • Strong communication and stakeholder collaboration skills
Education:

Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field preferred.

Tech Stack:

Python | GenAI | LLM | OpenAI | Azure OpenAI | Anthropic | AWS Bedrock | LangChain | LangGraph | LlamaIndex | Agentic AI | RAG | Vector Search | Embeddings | Pinecone | pgvector | Weaviate | OpenSearch | FastAPI | Async Python | Pydantic | JSON Schema | Function Calling | Prompt Engineering | Guardrails | Pytest | Git | CI/CD | Docker | SQL | Azure | AWS | GCP