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Chat Bot Developer Jobs in Chicago, IL (NOW HIRING)

QUANTUM TECHNOLOGIES LLC

SR GEN AI Engineer

Chicago, IL · On-site

$87/hr

GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center ... Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and ...

New

Pwc

US Tech - AI Engineering Manager

Chicago, IL · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams ...

Pwc

US Tech - AI Engineering Manager

Rosemont, IL

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams ...

All JobsChat Bot Developer JobsChat Bot Developer Jobs in Chicago, IL

Chat Bot Developer information

See Chicago, IL salary details

$16

$58

$79

How much do chat bot developer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for chat bot developer in Chicago, IL is $58.41, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $65.38 per hour, depending on experience, location, and employer.

What are some common challenges chat bot developers face when integrating chatbots with existing business systems?

Chat Bot Developers often encounter challenges when integrating chatbots with existing business systems such as CRMs, databases, or legacy platforms. These challenges can include handling data privacy and security, ensuring seamless data flow between systems, and managing differences in technology stacks or APIs. Successful integration usually requires strong problem-solving skills, familiarity with various integration tools, and close collaboration with IT or backend teams. Addressing these challenges effectively can lead to more robust, scalable, and user-friendly chatbot solutions.

How much do chat bot developers make?

Chat bot developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Senior developers with expertise in AI, natural language processing, and programming languages like Python or JavaScript tend to earn higher salaries.

What is a chat bot developer?

A Chat Bot Developer is a software professional who designs, builds, and maintains conversational bots for messaging platforms, websites, or apps. Their work involves programming the bot to understand user input, process language, and provide meaningful responses or perform actions. Chat Bot Developers often use artificial intelligence, natural language processing, and various APIs to create bots that can automate tasks, assist customers, or enhance user engagement. They collaborate with designers, data scientists, and other developers to improve the bot's accuracy and usability over time.

How to become a chat bot developer?

To become a chat bot developer, you should learn programming languages such as Python or JavaScript, understand natural language processing (NLP) concepts, and gain experience with chatbot development platforms like Dialogflow or Microsoft Bot Framework. Building a portfolio of chatbot projects and staying updated on AI and machine learning trends can also enhance your skills and employability.

What are the key skills and qualifications needed to thrive as a chat bot developer, and why are they important?

To thrive as a Chat Bot Developer, you need strong programming skills (typically in Python, JavaScript, or Java), a solid understanding of natural language processing (NLP), and experience with AI frameworks, often supported by a degree in computer science or a related field. Familiarity with platforms like Dialogflow, Microsoft Bot Framework, Rasa, and cloud services such as AWS or Azure, as well as relevant certifications, is highly valuable. Creative problem-solving, effective communication, and the ability to collaborate with cross-functional teams help developers create engaging and user-friendly conversational experiences. These skills and qualities are crucial for building intelligent, scalable, and effective chatbots that meet user and business needs.

Is chat bot developer a good career?

A chat bot developer designs and builds conversational AI systems, often requiring skills in programming, natural language processing, and machine learning. The field offers growth opportunities due to increasing demand for automation and customer service solutions, with roles available in tech companies, startups, and large organizations. It can be a rewarding career for those interested in AI technology and continuous learning.

What is the difference between Chat Bot Developer vs AI Developer?

AspectChat Bot DeveloperAI Developer
Required CredentialsBachelor's in CS, programming skills, chatbot platformsBachelor's/Master's in CS, machine learning, AI frameworks
Work EnvironmentTech companies, customer service, e-commerceResearch labs, tech firms, industries applying AI solutions
Employer & Industry UsageCustomer support, marketing, salesData analysis, automation, advanced AI systems
Search & Comparison IntentFocus on chatbot creation and deploymentBroader AI development and research

While both roles involve programming and AI concepts, a Chat Bot Developer specializes in creating conversational agents for customer interaction, whereas an AI Developer works on broader artificial intelligence applications, including machine learning and data analysis. The choice depends on whether you want to focus on chatbot-specific projects or broader AI solutions.

What are popular job titles related to Chat Bot Developer jobs in Chicago, IL? For Chat Bot Developer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Chat Bot Developer jobs in Chicago, IL look for? The top searched job categories for Chat Bot Developer jobs in Chicago, IL are:
Chat Bot Developer jobs near you

SR GEN AI Engineer

QUANTUM TECHNOLOGIES LLC

Chicago, IL • On-site

$87/hr

Other

Posted 3 days ago

New

Job description

Job Title: SR GEN AI Engineer

Location: Chicago IL

Duration: 12 Months + Extension

Bill Rate: $87/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

POSITION OVERVIEW :

Job Description
GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center As a Service (CCAS) platform that uses Amazon Connect, Lex V2, Amazon Q in Connect, Contact Lens, Bedrock, OpenSearch, and Lambda (Python). This is a software development role focused on conversation flow design, Amazon Connect integrations, AI service orchestration, generative AI safety, and the creation of supporting APIs and data pipelines to improve customer experience through intelligent automation.


You will work with senior developers, UI/UX designers, and cloud engineers to implement features that deflect customer contacts with voice/chat bots, optimize routing and flows, provide agents with real-time AI assistance, and ensure privacy/compliance controls. This is an exciting opportunity to grow your development skills while delivering secure, reliable, and innovative solutions in a mission environment.
Primary Responsibilities

  • Amazon Connect application development and configuration:
    • Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.
    • Integrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.
    • Enable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.
    • Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.
    • Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.
  • AI orchestration and backend services:
    • Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.
    • Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.
    • Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.
    • Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards.
  • Data safety and compliance:
    • Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy.
    • Enforce PII minimization and redaction policies in Amazon Connect conversation logs.
    • Participate in threat modeling and support remediation of findings for contact center integrations.
  • Web and chat integration:
    • Support CloudFront + WAF configurations for secure web chat entry points.
    • Build APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.
  • DevSecOps and operations:
    • Contribute to Git-based CI/CD pipelines, code reviews, and documentation.
    • Maintain runbooks, architecture diagrams, and SOPs for contact flows, bot integrations, and AI workflows.
    • Create and monitor CloudWatch dashboards/alarms for call deflection rate, average handle time (AHT), contact resolution, and AI usage metrics.

Basic Qualifications

  • Bachelor s degree in Computer Science, Engineering, or related field and 2 4 years of relevant experience; or a Master s with
  • 2+ years of software development with Python, including building and troubleshooting AWS Lambda functions.
  • Hands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).
  • Experience integrating Lex V2 bots with Amazon Connect flows.
  • Familiarity with conversational AI design, including slot elicitation, error recovery, and safe fallback patterns.
  • Infrastructure as Code experience (CloudFormation) and Git-based CI/CD workflows.
  • Foundational security knowledge: least privilege IAM, encryption at rest (KMS), and secure logging/monitoring.
  • Strong written and verbal communication; able to document designs and explain technical choices to teammates.
  • with ability to obtain a Public Trust clearance.

Preferred Qualifications

  • Practical exposure to full Amazon Connect deployments, including telephony setup, contact attributes, and queue performance optimization.
  • Experience enabling and tuning Contact Lens for compliance, sentiment analysis, and post-contact QA scoring.
  • Experience with Amazon Q in Connect for agent assist workflows and knowledge retrieval.
  • Experience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt engineering.
  • Knowledge of Retrieval Augmented Generation (RAG) and vector search; AWS OpenSearch Service configuration (VPC only, KMS) and k-NN/HNSW indices.
  • Familiarity with KMS key policies, grants, and cross-account access; S3 data protection (BPA, lifecycle, access points).
  • Experience with AWS WAF, CloudFront, and edge security patterns.
  • Observability and analytics skills: CloudWatch dashboards/alarms, X-Ray, Athena/Glue.
  • Understanding of privacy/compliance considerations (PII redaction, data retention), and familiarity with FISMA and FedRAMP concepts as applied to contact centers.
  • Certifications (any of): AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, AWS DevOps Engineer, CISSP/CCSP.

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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