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Manager Vector Control Jobs in Chicago, IL (NOW HIRING)

BC Forward

Java Developer with AI

Chicago, IL · On-site

$45 - $48.27/hr

... vector search, semantic search, classification, summarization, and AI-assisted communication ... Knowledge of version control, packaging, release management, secure coding, and operational ...

Sonsoft Inc

AUTOSAR Engineer

Burr Ridge, IL · On-site

... management. * Experienced in the use of version control tools * Experience with AUTOSAR integration is must. * Experience with MATLAB Embedded coder * Good experience in Vector Autosar tool * Good ...

Sonsoft Inc

AUTOSAR Engineer (Full Time)

Burr Ridge, IL · On-site

... management. * Experienced in the use of version control tools * Experience with AUTOSAR integration is must. * Experience with MATLAB Embedded coder * Good experience in Vector Autosar tool * Good ...

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query ... This position also requires database engineering management through RDBMS (SQL Server, PostgreSQL ...

Morningstar, Inc.

Senior Software Engineer

Chicago, IL · On-site

$153K/yr

Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query ... This position also requires database engineering management through RDBMS (SQL Server, PostgreSQL ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

Contribute to best practices in version control, metadata management, and reproducibility. * Stay ... vector stores) * Familiarity with GenAI skills and adjacent tooling (foundation models, prompt ...

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All JobsVector Control JobsManager Vector Control JobsManager Vector Control Jobs in Chicago, IL

Manager Vector Control information

See Chicago, IL salary details

$40.2K

$84.6K

$128.3K

How much do manager vector control jobs pay per year?

As of Jul 13, 2026, the average yearly pay for manager vector control in Chicago, IL is $84,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $124,600.00 per year, depending on experience, location, and employer.

What is the difference between Manager Vector Control vs Vector Control Technician?

AspectManager Vector ControlVector Control Technician
CertificationsCertified Vector Control Manager (CVC), vector control certificationsVector control certifications, pesticide applicator licenses
Work EnvironmentSupervisory roles, planning, program managementFieldwork, applying pesticides, trapping, and surveillance
Employer & Industry UsagePublic health agencies, vector control programsField teams, pest control companies, government agencies

The main difference is that Manager Vector Control oversees programs, manages staff, and plans strategies, while Vector Control Technicians perform hands-on fieldwork such as applying treatments and monitoring vector populations. Both roles require relevant certifications, but managers focus on coordination and oversight, whereas technicians focus on field operations.

What are the most commonly searched types of Vector Control jobs in Chicago, IL? The most popular types of Vector Control jobs in Chicago, IL are:
What are popular job titles related to Manager Vector Control jobs in Chicago, IL? For Manager Vector Control jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Manager Vector Control jobs in Chicago, IL look for? The top searched job categories for Manager Vector Control jobs in Chicago, IL are:
Manager Vector Control jobs near you
Python AI Engineer (Local to Chicago Only)

Python AI Engineer (Local to Chicago Only)

Solution Partners, Inc.

Chicago, IL • On-site

Other

Posted 24 days ago

Job description

We are only considering candidates based in Chicago. First interview will be on site in the Chicago office with a technical assessment. Please do not apply if this first phase is not possible.

We are looking for an AI Engineer to design, develop, and deploy an intelligent, multilingual chatbot that helps users track their parcels seamlessly. The chatbot will integrate with Snowflake for data retrieval, leverage APIs or web scraping to fetch tracking updates from external systems and run as a containerized solution on Azure. We are seeking to hire an engineer who is passionate about building scalable, AI-powered applications. You’ll work at the intersection of backend development and AI integration, leveraging modern tools like LLMs, MongoDB, Docker, and best coding practices. You’ll be responsible for writing clean, efficient, and maintainable code while working closely product teams to deploy intelligent systems. We need a proactive, self-motivated leader who thrives in a dynamic environment.

Key Responsibilities

  • Design, develop, and maintain an AI-powered chatbot capable of handling multi-lingual conversations.
  • Implement Retrieval-Augmented Generation (RAG) workflows to improve response accuracy and reduce unnecessary LLM calls
  • Integrate AI and LLM tools (e.g., OpenAI, LangChain, Hugging Face) into real-world applications
  • Integrate chatbot with Snowflake to fetch tracking data using tracking IDs.
  • Develop web scraping and API connectors to external parcel tracking systems
  • Deploy and manage chatbot services on Azure using Docker containers.
  • Implement vector databases (e.g., Pinecone, FAISS, Chroma) for efficient context management and response caching.
  • Ensure code quality through best practices: clean code, testing, and code reviews.

Must-Have Skills

  • Programming: Strong proficiency in Python and relevant libraries (e.g., LangChain, FastAPI, BeautifulSoup, Requests
  • AI Tools & Frameworks: Experience with OpenAI, Hugging Face, or similar AI API''''''''''''''''s
  • RAG Implementation: Hands-on experience integrating LLMs with vector databases and retrieval pipelines
  • NLP: Strong understanding of prompt design, token usage, embeddings, and language model
  • Data Integration: Experience connecting with Snowflake or similar dataware houses.
  • Deployment: Knowledge of Docker and Azure container deployments.
  • Web Scraping & APIs: Experience building scrapers or integrating with third-party APIs
  • Version Control: Familiarity with Git and CI/CD pipelines
  • Strong communication skills — able to explain complex AI concepts in simple terms
  • Collaborative attitude and openness to feedback

Nice-to-Have Skills

  • Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex)
  • Exposure to multi-lingual NLP models or translation APIs

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