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Conversational Ai Developer Jobs in Michigan (NOW HIRING)

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

... AI Developer. The ideal candidate should have strong hands-on development skills, with a passion ... Prior experience with building Agentic AI solutions, conversational AI chatbots or summarization ...

... Applied AI Developer Okemos, MI (Hybrid): Minimum of 3 days per week onsite in Okemos. or 100 ... Prior experience with building Agentic AI solutions, conversational AI chatbots or summarization ...

... conversation design and user experience principles to create intuitive and engaging chatbot ... AI and machine learning solutions. • Experience with machine learning algorithms and deep ...

Partner with product, engineering, platform, and business teams to improve self-service adoption ... Experience designing conversational AI journeys, guided support flows, fallback experiences, and ...

New

Lead or support chatbot, RAG, conversational AI, agentic AI, and AI assistant integration ... Mentor engineers and help grow the AI engineering capability within COC Digital & IT. What do you ...

AI-powered developer productivity tools * Conversational client experiences This description is suitable for an Engineer III / Senior Associate level AI Developer someone who can independently ...

$111K - $146K/yr

Build and support chatbot, RAG, conversational AI, and model-connected application capabilities ... Help create reusable patterns, improve engineering practices, and mentor less experienced engineers ...

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Conversational Ai Developer information

What are the key skills and qualifications needed to thrive as a Conversational AI Developer, and why are they important?

To thrive as a Conversational AI Developer, you need a solid background in computer science, natural language processing (NLP), and machine learning, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, NLP libraries (such as spaCy or NLTK), and conversational platforms (like Dialogflow or Microsoft Bot Framework) is typically required. Strong problem-solving abilities, creativity, and effective communication skills help developers design intuitive and engaging conversational experiences. These skills are crucial for building AI systems that understand and respond accurately to human language, ensuring user satisfaction and business value.

What is a Conversational AI Developer?

A Conversational AI Developer is a professional who designs, builds, and maintains artificial intelligence systems that enable computers to interact with humans using natural language. These developers create chatbots, virtual assistants, and voice-enabled applications that can understand and respond to user input in a conversational manner. Their work often involves programming, natural language processing (NLP), machine learning, and integrating AI systems with various platforms or devices. They play a key role in improving user experiences through more intuitive, human-like interactions with technology.

What is the difference between Conversational Ai Developer vs Chatbot Developer?

AspectConversational Ai DeveloperChatbot Developer
Required CredentialsProgramming skills, AI/machine learning knowledge, NLP expertiseProgramming skills, basic AI understanding, scripting
Work EnvironmentTech companies, AI startups, enterprise AI teamsCustomer service, marketing, small to medium businesses
Industry UsageDevelops complex conversational systems with AI capabilitiesBuilds rule-based or simple chatbots for specific tasks
Search & Comparison IntentUnderstanding AI-driven conversational systemsCreating basic automated chat interactions

Conversational Ai Developers focus on building advanced, AI-powered conversational systems using NLP and machine learning, often working in tech or enterprise environments. Chatbot Developers typically create rule-based or simple chatbots for customer service or marketing, with less emphasis on AI complexity. While both roles involve programming and scripting, Conversational Ai Developers require deeper AI and NLP expertise for sophisticated interactions.

What are some common challenges Conversational AI Developers face when optimizing chatbot performance?

Conversational AI Developers often encounter challenges such as accurately interpreting user intent, handling ambiguous or unexpected queries, and maintaining natural, engaging dialogue flows. Balancing the need for robust natural language understanding with system efficiency and scalability is also key. Additionally, integrating the chatbot with existing platforms and ensuring data privacy can require careful planning and cross-functional collaboration.
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What job categories do people searching Conversational Ai Developer jobs in Michigan look for? The top searched job categories for Conversational Ai Developer jobs in Michigan are:
What cities in Michigan are hiring for Conversational Ai Developer jobs? Cities in Michigan with the most Conversational Ai Developer job openings:

Java AI Engineer

Tror AI for everyone

Farmington Hills, MI • On-site

$51 - $69.75/hr

Contractor

Re-posted 7 days ago


Job description

JOB Title: Java AI Engineer

Location:  Farmington Hills, MI  (Hybrid)

Hiring Type: Contract

Note: only 1 Round of interview Face to Face.


We are looking for an AI Engineer / Applied AI Developer. 
The ideal candidate should have strong hands-on development skills, with a passion for building AI-powered proof-of-concepts and exploring cutting-edge AI capabilities.  

The candidate must be comfortable working in a fast-paced, research-driven environment, be a problem solver with excellent critical thinking, and have a strong foundation in Python programming. Experience with large language models is a must. Machine learning frameworks, or AI cloud services is a plus but not required. 

Must Have Technical Skills: 

  • Python and Java (intermediate to advanced proficiency) 
  • Ability to quickly build working proof-of-concepts 
  • Strong analytical and critical thinking skills 
  • Experience with prompt engineering and function calling in LLMs 
  • Experience integrating APIs and handling structured/unstructured data 
  • Familiarity with Git and development in a collaborative environment 

Nice to Have Technical Skills: 

  • Prior experience with building Agentic AI solutions, conversational AI chatbots or summarization tools 
  • Experience with OpenAI or similar LLM frameworks 
  • Familiarity with Streamlit, FastAPI, or Flask for building UI/demo tools