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Assistant Chatbot Developer Jobs (NOW HIRING)

Snap-on Inc

Programmer/Analyst I

Kenosha, WI · On-site

Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto ... Strong collaboration across engineering, product, and support teams

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with agentic AI chatbot development or internal AI assistants. * Knowledge of Generative ... Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Snap-on Inc

Support Engineer

Kenosha, WI · On-site

Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto ... Strong collaboration across engineering, product, and support teams Employment Type: FULL_TIME

CGI Inc.

Lead AWS Full Stack Engineer

Reston, VA · On-site

In addition to core software engineering responsibilities, the role will contribute to the integration of GenAI capabilities such as intelligent assistants, chatbot functionality, and AI powered ...

Flex

Lead, CS AI Content

New York, NY

Write and maintain AI-native content across chatbot, voicebot, and agent assist tools, including ... Ability to collaborate effectively with cross-functional partners including Product, Engineering ...

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and ... Solid understanding and practical application of MLOps best practices for chatbot pipelines ...

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Assistant Chatbot Developer information

What are some common challenges faced by Assistant Chatbot Developers when integrating chatbots with existing systems?

Assistant Chatbot Developers often encounter challenges when integrating chatbots with existing platforms such as customer relationship management (CRM) tools, databases, or third-party APIs. These challenges include ensuring data compatibility, maintaining security standards, and addressing latency issues for real-time interactions. Successful integration typically requires close collaboration with IT and development teams, as well as thorough testing to identify and resolve any bugs or inconsistencies. Being proactive in communication and documentation can help streamline the integration process and deliver a seamless user experience.

What is the difference between Assistant Chatbot Developer vs Chatbot Developer?

AspectAssistant Chatbot DeveloperChatbot Developer
Required SkillsNatural language processing, AI integration, scriptingAI, NLP, software development, API integration
Work EnvironmentTech companies, customer service platforms, AI startupsSoftware firms, AI companies, enterprise solutions
Common UsageBuilding virtual assistants for specific tasksDesigning complex chatbots for various industries

Assistant Chatbot Developers focus on creating virtual assistants that handle specific tasks, often with a user-friendly interface. Chatbot Developers build more complex, multi-purpose chatbots for broader applications. Both roles require similar skills in AI and NLP but differ in scope and complexity.

What are the key skills and qualifications needed to thrive as an Assistant Chatbot Developer, and why are they important?

To thrive as an Assistant Chatbot Developer, you need foundational programming skills (such as Python or JavaScript), understanding of natural language processing (NLP) concepts, and a relevant degree or coursework in computer science or related fields. Familiarity with chatbot frameworks (like Dialogflow or Microsoft Bot Framework), API integration, and version control systems (such as Git) is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are important soft skills for success in this role. These skills ensure the creation of functional, user-friendly chatbots that meet business requirements and deliver a seamless user experience.

What are Assistant Chatbot Developers?

Assistant Chatbot Developers are professionals who design, build, and maintain chatbot systems that interact with users through text or voice interfaces. They work on programming chatbots to understand user queries and deliver accurate, helpful responses. These developers use natural language processing (NLP) and machine learning tools to enhance chatbot capabilities and improve user experiences. Their work often involves collaborating with UX designers, data scientists, and software engineers.
What cities are hiring for Assistant Chatbot Developer jobs? Cities with the most Assistant Chatbot Developer job openings:
What are the most commonly searched types of Chatbot Developer jobs? The most popular types of Chatbot Developer jobs are:
What states have the most Assistant Chatbot Developer jobs? States with the most job openings for Assistant Chatbot Developer jobs include:
What job categories do people searching Assistant Chatbot Developer jobs look for? The top searched job categories for Assistant Chatbot Developer jobs are:
Assistant Chatbot Developer jobs near you
Infographic showing various Assistant Chatbot Developer job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Senior AI Engineer (Contract) Applied GenAI / Full Stack

Senior AI Engineer (Contract) Applied GenAI / Full Stack

TECHProjects

Des Moines, IA • On-site

Other

Posted 2 days ago

Job description

Senior AI Engineer Applied GenAI / Full Stack
Job Summary
We are seeking a Senior AI Engineer to join the AI Platform Team and help build secure, scalable, and reusable enterprise AI capabilities. The role focuses on delivering governed platform capabilities, RAG-based search, chat assistants, agent/chatbot services, and production-ready AI solutions. This is a hands-on engineering role centered on backend services, platform engineering, cloud-native delivery, and enterprise AI adoption.
Key Responsibilities
  • Build and deliver production-ready enterprise AI solutions.
  • Develop reusable AI platform components and domain-aligned AI solutions.
  • Work across the full solution lifecycle including infrastructure, APIs, services, cloud deployment, data storage, and production support.
  • Ensure solutions adhere to privacy, security, compliance, observability, and engineering standards.
  • Build backend services and cloud-native platform capabilities.

Required Qualifications & Skills
  • 6 8 years of software engineering experience with strong hands-on development experience.
  • Strong experience with Node.js and TypeScript (primary and mandatory technology stack).
  • Experience building backend/platform-oriented full-stack solutions including APIs, services, databases, cloud deployment, and operational support.
  • Strong AWS experience including API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, CDK, and Fargate.
  • Hands-on experience with Infrastructure as Code (IaC), preferably AWS CDK (mandatory).
  • At least 1 year of hands-on experience building Generative AI solutions, ideally RAG/search-based AI, chatbot/copilot solutions, or enterprise knowledge assistants.
  • Practical understanding of prompt engineering and prompt design.
  • Knowledge of retrieval and generation concepts including embeddings, chunking, semantic retrieval, vector search, top-k, and top-p.
  • Understanding of AI guardrails, safety controls, output validation, hallucinations, prompt injection, jailbreak attempts, and content-safety concerns.
  • Experience building enterprise-grade APIs/services that integrate AI capabilities into business workflows.
  • Strong software engineering fundamentals including testing, debugging, source control, and CI/CD.
  • Excellent collaboration and communication skills.

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