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Full Time Text Bot Ai Jobs (NOW HIRING)

AmeriSave Mortgage

Voice Bot Engineer

Manhattan, NY · Remote

$120K - $140K/yr

As part of our growing AI/ML division, you will work closely with product managers, data scientists ... Experience working with speech recognition (ASR) and text-to-speech (TTS) engines. Comfort with ...

AmeriSave Mortgage Corp.

$120K - $140K/yr

As part of our growing AI/ML division, you will work closely with product managers, data scientists ... Experience working with speech recognition (ASR) and text-to-speech (TTS) engines. * Comfort with ...

AmeriSave Mortgage Corp.

Voice Bot Engineer

$120K - $140K/yr

As part of our growing AI/ML division, you will work closely with product managers, data scientists ... Experience working with speech recognition (ASR) and text-to-speech (TTS) engines. * Comfort with ...

Ethos Life

Director of Product, Conversational AI

$238K - $249K/yr

You own the editorial sensibility for every word the bot says. * Channel Strategy: Decide where ... Own the product experience where a conversation can start as a call, continue as a text, and hand ...

Apex Informatics

AI ML Engineer

... NLP and text architecture experience. With pyspark, PyTorch and LLM gen ai skill, ML ops Data ... BOT implementation.

AEG Worldwide

VP, Contact Center

Frisco, TX · On-site

$129K - $166K/yr

... bot, AI bots, Workforce Management, Virtual Observer Pay Scale: $190,000 - $210,000 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: Full-time: We ...

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How much do full time text bot ai jobs pay per year?

As of Jun 6, 2026, the average yearly pay for full time text bot ai in the United States is $113,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a Full Time Text Bot AI?

A Full Time Text Bot AI is an artificial intelligence system designed to communicate via text, often used to automate customer service, answer inquiries, or complete tasks around the clock. Unlike human agents, these bots can handle multiple conversations simultaneously and provide instant responses any time of day. They are typically employed in industries like e-commerce, banking, and tech support to improve efficiency and reduce operational costs. Full Time Text Bot AIs are continually updated to better understand and respond to user needs, making them increasingly sophisticated and useful.

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

To thrive as an AI Chatbot Developer, you need strong programming skills (especially in Python or JavaScript), understanding of natural language processing (NLP), and a background in computer science or related fields. Familiarity with AI frameworks (like TensorFlow or PyTorch), chatbot platforms (such as Dialogflow or Microsoft Bot Framework), and API integration is typically required. Creative problem-solving, effective communication, and adaptability are soft skills that help deliver user-friendly and effective chatbot solutions. These skills ensure the development of intelligent, reliable bots that meet user needs and business objectives in a rapidly evolving tech landscape.

What are some common challenges faced by professionals working in full-time text bot AI roles, and how can they be addressed?

Professionals in full-time text bot AI roles often encounter challenges such as handling ambiguous user queries, ensuring natural language understanding, and maintaining conversational consistency. Collaborating closely with cross-functional teams like UX designers and data scientists is key to refining bot responses and improving overall user experience. Additionally, staying updated with the latest advancements in natural language processing and regularly analyzing user feedback helps in continuously enhancing the bot’s performance and addressing these challenges effectively.

What is the difference between Full Time Text Bot Ai vs Customer Service Representative?

AspectFull Time Text Bot AiCustomer Service Representative
Required CredentialsBasic programming or AI knowledge, no formal degree often neededHigh school diploma or equivalent, customer service training
Work EnvironmentRemote, automated systems, AI platformsOffice or call center, human interaction
Industry UsageTech, e-commerce, customer support automationRetail, telecom, hospitality, customer support
Common Search/ComparisonAutomation, AI chatbot rolesCustomer service jobs, support roles

Full Time Text Bot Ai roles focus on developing and managing AI-driven chatbots, requiring technical skills but often less formal education. Customer Service Representatives handle direct customer interactions, requiring communication skills and customer service training. Both roles serve the customer support industry but differ significantly in work environment and skill requirements.

More about Full Time Text Bot Ai jobs
What cities are hiring for Full Time Text Bot Ai jobs? Cities with the most Full Time Text Bot Ai job openings:
What are the most commonly searched types of Text Bot Ai jobs? The most popular types of Text Bot Ai jobs are:
What states have the most Full Time Text Bot Ai jobs? States with the most job openings for Full Time Text Bot Ai jobs include:
What job categories do people searching Full Time Text Bot Ai jobs look for? The top searched job categories for Full Time Text Bot Ai jobs are:
Full Time Text Bot Ai jobs near you
Infographic showing various Full Time Text Bot Ai job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $113,988 per year, or $54.8 per hour.

AI / GenAI Architect

Purple Drive Technologies

Cleveland, OH • On-site

Full-time

Posted 22 days ago

Job description

Overview:
Role Summary:
We are looking for a highly experienced AI Architect specializing in Python-based AI development, Large Language Models (LLMs), and the design of chatbots and voice bots. The ideal candidate will architect enterprise-grade conversational AI solutions, ensure robust LLM performance monitoring, and drive innovation in Generative AI systems.
Key Responsibilities
LLM & Conversational AI Architecture
• Architect scalable solutions using LLMs, ChatGPT-style models, and voice AI frameworks.
• Design and build chatbots and voice bots using Python, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and NLP/LLM pipelines.
• Create frameworks for conversational flows, prompt engineering, retrieval-augmented generation (RAG), and context management.
Solution Development
• Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services.
• Develop modular and reusable components for LLM inference, vector search, embeddings, and model orchestration.
• Integrate LLMs with enterprise systems (CRM, ticketing, case management, internal knowledge bases).
LLM Performance Monitoring & Optimization
• Implement monitoring systems for latency, hallucination rate, safety compliance, drift detection, prompt performance, and model quality.
• Set up continuous evaluation (CEVAL), feedback loops, and telemetry dashboards.
• Optimize inference cost, token usage, model selection (small vs. large models), and caching strategies
Voice Bot & Chat Bot Engineering
• Architect solutions using:
o Speech APIs (Azure Speech, Amazon Transcribe, Google Speech-to-Text)
o Chat platforms (Teams, Slack, web chat widgets)
o Telephony integrations (Twilio, Genesys, Ujet)
• Ensure high accuracy in intent detection, slot filling, sentiment tracking, and multimodal interaction.
MLOps & Deployment
• Implement MLOps practices including CI/CD, model versioning, A/B testing, evaluation pipelines, and governance.
• Deploy models on cloud platforms such as Azure, AWS, or GCP (Azure preferred if using OpenAI/Azure OpenAI).
Ensure compliance with enterprise AI governance, security, and ethical AI standards
Essential Skills: AI Architect| Python| LLM| Conversational AI Architecture| voice AI frameworks| ASR (Automatic Speech Recognition) | TTS (Text-to-Speech) | and NLPLLM pipelines| Voice Bot Chat Bot Engineering.

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