ZipRecruiter

Log In

1

Assistant Chatbot Developer Jobs (NOW HIRING)

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 ...

Corning

$93K - $122K/yr

At Corning, we are looking for a Lead AI Engineer to help guide the design, development ... What would be a plus? -Experience leading enterprise AI, GenAI, chatbot, RAG, or AI assistant ...

Tech Tammina LLC

AWS Connect Engineer

Addison, TX · On-site

IVR / Chatbot Development, including deep knowledge of best practices in IVR and chatbot creation ... Apply security best practices and compliance requirements (PCI-DSS, GDPR, etc.). * Assist in ...

University of Utah

Project Coordinators

Salt Lake City, UT · On-site

$54K - $57K/yr

... Engineering, Operations, Technical). Review project proposals, ensure projects adhere to contract ... Monitor system performance, flag issues, and assist with troubleshooting to keep the chatbot ...

University of Utah

Project Coordinators

Campus, IL · On-site

$54K - $57K/yr

... Engineering, Operations, Technical). Review project proposals, ensure projects adhere to contract ... Monitor system performance, flag issues, and assist with troubleshooting to keep the chatbot ...

University of Utah

Project Coordinators

Campus, IL · On-site

$54K - $57K/yr

... Engineering, Operations, Technical). Review project proposals, ensure projects adhere to contract ... Monitor system performance, flag issues, and assist with troubleshooting to keep the chatbot ...

University of Utah

Project Coordinators

Campus, IL

$54K - $57K/yr

... Engineering, Operations, Technical). Review project proposals, ensure projects adhere to contract ... Monitor system performance, flag issues, and assist with troubleshooting to keep the chatbot ...

next page

Showing results 1-20

All JobsChatbot Developer JobsAssistant Chatbot Developer Jobs

Assistant Chatbot Developer information

How much do chatbot developers make?

Chatbot developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start around $50,000, while experienced developers with expertise in AI and natural language processing can earn higher salaries. Salaries can also vary based on whether the role is freelance or full-time and the complexity of the chatbot projects involved.

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.

Is chatbot developer a good career?

A chatbot developer is a role focused on designing and implementing conversational AI systems, often requiring skills in programming, natural language processing, and machine learning. It is a growing field with increasing demand across industries such as customer service, healthcare, and finance, offering opportunities for career advancement and specialization.

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.

Which 3 jobs will survive AI?

Assistant Chatbot Developers are likely to continue being in demand as AI requires ongoing human oversight, customization, and improvement. Roles involving complex problem-solving, emotional intelligence, and creative thinking—such as healthcare professionals, educators, and creative designers—are also expected to persist despite AI advancements. These jobs often require skills that are difficult for AI to replicate fully.

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's the easiest AI job to get?

Entry-level roles in AI, such as AI support technician or data annotation jobs, are generally easier to obtain and require minimal experience. These positions often focus on data labeling, basic scripting, or assisting with AI training, and may require familiarity with tools like Python or basic understanding of machine learning concepts.
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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

AI/ML Software Engineer

INFT Solutions Inc

Annapolis, MD • Hybrid

Contractor

Re-posted 24 days ago

Job description

Job Title: AI/ML Software Engineer-K23-0094-25L-17

Location- Annapolis, MD

Position Overview

We are seeking an experienced AI/ML Software Engineer to design, develop, and deploy intelligent software systems that leverage Artificial Intelligence (AI) and Machine Learning (ML) to automate business processes, improve user experiences, and support data-driven operations.

The ideal candidate will possess strong expertise in Python development, LLM integration, retrieval-augmented generation (RAG), chatbot development, workflow automation, and AI model deployment within a hybrid cloud environment.

This role supports the creation of production-grade AI systems including:

  • Internal AI assistants
  • External chatbots
  • Intelligent automation workflows
  • Knowledge retrieval systems
  • Translation and transcription engines
  • Redaction tools
  • Document analysis and generation platforms

Key Responsibilities

1. AI/ML Solution Design

  • Design and develop AI-enabled applications to automate narrowly defined tasks.
  • Architect solutions using LLMs, embeddings, and vector search.
  • Select optimal AI and non-AI approaches based on business needs.
  • Collaborate with stakeholders to define workflows and system architecture.

2. Chatbot & Agent Development

  • Build and improve internal AI chatbots for employee support.
  • Develop external conversational bots for public-facing services.
  • Implement agent-based systems for:
    • Knowledge retrieval
    • Research
    • Document generation
    • Data extraction

3. RAG & Knowledge Retrieval

  • Build retrieval-augmented generation (RAG) systems.
  • Improve vector search relevance using:
    • embeddings
    • reranking
    • graph retrieval
  • Integrate knowledge retrieval with case management systems.

4. Workflow Automation

  • Develop AI-powered RPA workflows
  • Automate reporting pipelines
  • Improve manual operational tasks using AI agents

5. NLP & Document Intelligence

  • Build systems for:
    • Translation
    • Transcription
    • Redaction
    • Document analysis
    • PDF generation
  • Apply NLP techniques for extracting structured data from unstructured documents.

6. Testing & Evaluation

  • Build evaluation pipelines for AI workflows.
  • Develop:
    • Unit tests
    • Integration tests
    • Synthetic datasets
  • Improve:
    • Accuracy
    • Latency
    • Cost efficiency

7. Deployment & DevOps

  • Deploy AI applications in hybrid cloud environments
  • Manage Docker containers
  • Optimize performance in limited GPU environments
  • Support production deployments and updates

Required Qualifications

  • Bachelor’s degree in:
    • Computer Science
    • Data Science
    • Engineering
    • Mathematics
    • Related discipline
  • Minimum 3 years of AI/ML or data science experience
  • Minimum 3 years of software engineering experience

Required Technical Skills

  • Python
  • SQL / PostgreSQL
  • Docker
  • Git
  • REST APIs
  • Vector Databases
  • Embeddings
  • RAG Pipelines
  • Prompt Engineering
  • LLM Deployment

Preferred Skills

  • Neo4j / Graph databases
  • Fine-tuning LLMs
  • Synthetic data generation
  • Hybrid cloud architecture
  • React
  • Microsoft Teams Toolkit
  • Rust or performance-oriented languages

Soft Skills

  • Strong problem solving
  • Systems thinking
  • Collaboration
  • Technical documentation
  • Agile teamwork
  • Ability to work in constrained environments

Work Environment

  • Remote with occasional onsite support
  • Standard business hours (EST)
  • Hybrid cloud infrastructure
  • Cross-functional collaboration