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Remote Chatbot Jobs in Seguin, TX (NOW HIRING)

AI Engineer

San Antonio, TX · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246114 Location: San Antonio,TX,US Share job via: Share AI Engineer ... Experience with end-to-end chatbot or agent to agent (A2A) development * Experience with enterprise ...

Remote Chatbot information

See Seguin, TX salary details

$25

$49

$67

How much do remote chatbot jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote chatbot in Seguin, TX is $49.58, according to ZipRecruiter salary data. Most workers in this role earn between $41.44 and $56.39 per hour, depending on experience, location, and employer.

What is a remote chatbot?

A Remote Chatbot job involves managing, programming, or supporting AI-powered chatbots to assist customers, answer questions, or automate tasks. This role can include chatbot development, training AI models, writing responses, or monitoring chatbot interactions. It often requires skills in customer service, programming, or AI, depending on the position. Remote chatbot jobs allow professionals to work from anywhere while ensuring efficient and accurate chatbot performance.

What are the typical daily responsibilities of a remote chatbot?

As a Remote Chatbot developer, your daily tasks often include designing conversational flows, writing and testing scripts, and integrating chatbots with external APIs or databases for seamless user interactions. You’ll collaborate remotely with product managers, UX designers, and sometimes customer support teams to ensure the chatbot meets user needs and business goals. Regularly reviewing chatbot analytics and updating responses based on user feedback is also common. This role typically requires proactive communication and independent work, making strong organizational skills essential for success in a remote setting.

What are the key skills and qualifications needed to thrive in the remote chatbot position?

To thrive as a Remote Chatbot, you must have expertise in natural language processing, conversational AI design, and relevant programming languages such as Python, as well as a degree in computer science or a related field. Familiarity with chatbot development platforms (like Dialogflow or Microsoft Bot Framework), API integrations, and cloud-based deployment tools is often required. Strong communication, problem-solving abilities, and attention to detail help distinguish top candidates in this field. These skills enable the creation of effective, user-friendly chatbots that meet business objectives and enhance customer experience in remote work environments.

What cities near Seguin, TX are hiring for Remote Chatbot jobs?

Cities near Seguin, TX with the most Remote Chatbot job openings:

Infographic showing various Remote Chatbot job openings in Seguin, TX as of August 2026, with employment types broken down into 70% Full Time, 16% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,121 per year, or $49.6 per hour.

AI Engineer

Booz Allen Hamilton, Inc.

San Antonio, TX • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted yesterday


Key responsibilities

  • Integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, agent orchestration components, and workflows to production applications.

  • Implement AI features using established software engineering patterns to ensure reliable, secure, and efficient operation within distributed systems.

  • Contribute to the development, evaluation, and monitoring of AI solutions, and refine integration workflows in collaboration with cross-functional teams.


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0246114
Location:
San Antonio,TX,US
Share job via:
Share
AI Engineer
The Opportunity:
As an AI Engineer, you will integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, agent orchestration components, and intelligent autonomous workflows to production applications. You will implement AI features using established software engineering patterns, ensuring these capabilities operate reliably, securely, and efficiently within distributed systems.
In this role, you will help evolve AI solutions from traditional LLM-based interactions to autonomous, goal-oriented, and multi-agent systems by leveraging agent orchestration frameworks, Retrieval-Augmented Generation (RAG), Knowledge Graphs (KGs), and fine-tuned Small Language Models (SLMs). You will contribute to evaluation and monitoring approaches, refine integration workflows, collaborate with cross-functional teams, and develop scalable AI functionality that brings intelligent, production-ready AI solutions from concept into real-world environments.
Join us. The world can't wait.
You Have:
  • 3+ years of experience developing and maintaining production software systems in Python
  • Experience designing and implementing intelligent AI agent architectures using LangChain, LangGraph, AutoGen, MCP, or A2A
  • Experience building RAG solutions with KGs and fine-tuning SLMs using ONNX, GGML, or Ollama
  • Experience integrating LLMs, external APIs, and distributed services into production environments with optimized inference workflows
  • Experience developing AI evaluation frameworks, integration tests, and production validation using ReAct and human-in-the-loop methodologies
  • Knowledge of secure HTTP APIs, OAuth2, JWT, API Keys, containerization, and CI/CD pipelines
  • Ability to travel up to 25% of the time
  • TS/SCI clearance
  • Bachelor's degree in CS, Engineering, or Data Science
  • DoD 8140 baseline Level II Certification such as Security+, CySA+, CISSP, or DoD Cyber Workforce Framework Certification

Nice If You Have:
  • Experience supporting DoW clients or other federal mission environments
  • Experience with advanced agentic patterns, including prompt caching, guardrails, agentic memory, Model Context Protocol (MCP), and agentic deployment strategies
  • Experience with end-to-end chatbot or agent to agent (A2A) development
  • Experience with enterprise data and ML platforms such as Databricks or Snowflake
  • Experience creating and managing large data processing pipelines
  • Master's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914