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Ai Chatbot Developer Jobs (NOW HIRING)

Sr. Data Engineer

Sacramento, CA · On-site

$124K - $149K/yr

Tableau Developer Certification NTTDATA * Python for Analytics IBM Professional Skills * Python, SQL * Power Automate * GPT 3.0-based AI Chatbot (Prototype) * Snowflake, SAP HANA, Redshift, Exasol

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly ... Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

... engineering coordination layer AI Workflow & Automation Ownership * Own the AI/chatbot workflow layer within your domain: conversational flow design, escalation logic, and routing rules * Partner ...

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto ... About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and ...

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Ai Chatbot Developer information

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$74.5K

$93.7K

$126.5K

How much do ai chatbot developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai chatbot developer in the United States is $93,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $95,000.00 per year, depending on experience, location, and employer.

What are some common challenges AI Chatbot Developers face when integrating chatbots with existing business systems?

One of the main challenges Ai Chatbot Developers encounter is ensuring seamless integration of chatbots with existing business platforms such as CRM, databases, or helpdesk software. This often requires deep understanding of APIs, data privacy regulations, and company-specific workflows. Developers must also ensure that the chatbot can accurately process and respond to user queries while securely accessing and updating relevant information. Collaboration with IT and business operations teams is key to addressing compatibility and security concerns during integration.

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

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 a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), chatbot platforms (such as Dialogflow or Microsoft Bot Framework), and relevant APIs or cloud services is essential. Creative problem-solving, effective communication, and adaptability are important soft skills for designing engaging user experiences and addressing evolving requirements. These skills ensure robust, intelligent chatbot solutions that deliver value through seamless user interactions and continuous improvement.

What does an AI Chatbot Developer do?

An AI Chatbot Developer designs, builds, and maintains intelligent conversational agents that can communicate with users through text or voice. They use artificial intelligence, natural language processing, and machine learning techniques to create chatbots capable of understanding and responding to user queries. Their responsibilities often include writing code, training chatbot models, integrating chatbots with various platforms, and improving bot performance based on user interactions.

How much do Ai Chatbot Developers make?

Ai Chatbot Developers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, location, and skill level. Salaries can be higher for those with expertise in machine learning, natural language processing, and relevant programming languages like Python or Java. Entry-level positions may start lower, while senior developers or specialists can earn significantly more.

What is the difference between Ai Chatbot Developer vs AI Software Engineer?

AspectAi Chatbot DeveloperAI Software Engineer
CredentialsRelevant programming certifications, AI, NLP knowledgeComputer science degrees, AI certifications
Work EnvironmentDeveloping conversational interfaces, scripting, UI designBuilding AI models, algorithms, software systems
Industry UsageCustomer service, virtual assistants, chat platformsBroader AI applications across industries
Search/Comparison IntentFocus on chatbot-specific skills and toolsBroader AI development skills and projects

While both roles involve AI and programming, Ai Chatbot Developers specialize in creating conversational agents and chat interfaces, often focusing on NLP and UI design. AI Software Engineers work on developing a wide range of AI models and systems across various applications. The roles overlap in technical skills but differ in their primary focus and industry applications.

How to become an AI chatbot developer?

To become an AI chatbot developer, you should gain skills in programming languages such as Python or JavaScript, understand natural language processing (NLP) frameworks like TensorFlow or PyTorch, and learn how to design conversational interfaces. Building experience through projects, online courses, or certifications in AI and machine learning can also help establish expertise in developing effective chatbots.

Is Ai Chatbot Developer a good career?

Ai Chatbot Developer is a growing field that involves designing and implementing conversational AI systems using programming languages and machine learning techniques. It offers opportunities in technology companies, requires skills in natural language processing, and often involves continuous learning to keep up with evolving tools and frameworks. Overall, it can be a rewarding career for those interested in AI and software development.
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What cities are hiring for Ai Chatbot Developer jobs? Cities with the most Ai Chatbot Developer job openings:
What states have the most Ai Chatbot Developer jobs? States with the most job openings for Ai Chatbot Developer jobs include:
Infographic showing various Ai Chatbot Developer job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $93,749 per year, or $45.1 per hour.

Senior Director, Software Engineering

Freddie Mac

Mclean, VA

$255K/yr

Full-time

Re-posted 3 hours ago


Freddie Mac rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

Freddie Mac is seeking a Sr. Director, Generative AI Development to lead a team of engineers building and operating internal Generative AI capabilities, including the company's internal chatbot and additional Gen AI-enabled products. This leader will drive delivery excellence, engineering rigor, and secure-by-design implementation across the full software lifecycle-partnering closely with Product, Architecture, Cybersecurity, Data, Model Risk, Legal/Compliance, and business stakeholders.

Your Impact:
  • Lead, coach, and grow a high-performing GenAI engineering team; set clear expectations, career paths, and performance standards.

  • Own delivery for internal AI chatbot and GenAI services: roadmap execution, sprint planning, dependency management, and release readiness.

  • Establish engineering standards for GenAI applications: prompt/service design patterns, evaluation frameworks, observability, and incident response.

  • Drive architecture and implementation for LLM-enabled systems (e.g., RAG, tool/function calling, agentic workflows) aligned to enterprise standards.

  • Ensure security, privacy, and compliance requirements are built-in (e.g., data handling, access controls, auditability, retention).

  • Partner with Model Risk Management and governance stakeholders to support appropriate documentation, testing, and controls for GenAI solutions.

  • Implement and monitor quality metrics (latency, cost per interaction, groundedness, hallucination rate, user satisfaction) and continuously improve.

  • Manage vendor/platform dependencies (LLM providers, orchestration frameworks, vector stores) and guide build-vs-buy decisions.

  • Communicate status, risks, and tradeoffs to senior technology and business leaders; translate business needs into engineering plans.

Qualifications:
  • 12+ years of software engineering experience, including 5+ years leading engineering teams/managers.

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

  • Proven experience delivering production-grade AI/ML or GenAI-enabled applications at enterprise scale.

  • Strong knowledge of modern cloud-native engineering (APIs, microservices, containers, CI/CD, IaC).

  • Recent hands-on coding experience.

  • Experience with secure software development practices and enterprise risk/compliance expectations.

  • Strong stakeholder management skills; ability to influence across product, security, and governance functions.

Preferred Qualifications:

  • Experience implementing RAG with vector databases and enterprise search.

  • Familiarity with LLM evaluation methods and automated testing approaches for GenAI.

  • Experience with MLOps/LLMOps, model monitoring, and cost optimization.

  • Background in regulated industries (financial services, mortgage, insurance) and related control environments.

Keys to Success in this Role:

  • Stable, measurable internal AI chatbot platform with strong adoption and clear quality/cost metrics.

  • Repeatable engineering patterns for GenAI features (RAG, tools, evaluation, guardrails) used across projects.

  • Improved delivery predictability and engineering quality (test coverage, incident reduction, faster release cycles).

  • Strong partnership model with Cybersecurity, Architecture, and Model Risk to accelerate safe delivery.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full timeFLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $228,000 - $342,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.Employment Type: FULL_TIME

What Freddie Mac employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970