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Junior Ai Agent Developer Jobs in Texas (NOW HIRING)

Python AI Agent Developer - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Participate in code reviews, mentor junior developers, and contribute to technical design ... Passionate about AI and automation , eager to experiment with agent-driven architectures.

GenAI / AI Agent Engineer

Dallas, TX · On-site

$15 - $19.75/hr

We are looking for a skilled GenAI / AI Agent Engineer with strong hands-on experience in Kero.AI and AWS. The ideal candidate should have experience designing and developing AI agents, integrating ...

We are seeking a Junior Developer who treats AI tools as a core part of their workflow - not an afterthought. In this role, you'll build and ship software alongside an experienced team, work directly ...

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance employee productivity and decision-making in a complex enterprise environment. The ideal ...

We're looking for a Jr. AI Process Engineer to work cross-functionally with Operations, Logistics, Finance, Customer Experience, and Merchandising teams to identify and build automations that ...

We're looking for a Jr. AI Process Engineer to work cross-functionally with Operations, Logistics, Finance, Customer Experience, and Merchandising teams to identify and build automations that ...

Jr. AI Process Engineer

Austin, TX · On-site

$80 - $100/hr

We're looking for a Jr. AI Process Engineer to work cross-functionally with Operations, Logistics, Finance, Customer Experience, and Merchandising teams to identify and build automations that ...

We're looking for a Jr. AI Process Engineer to work cross-functionally with Operations, Logistics, Finance, Customer Experience, and Merchandising teams to identify and build automations that ...

Senior AI Engineer

Houston, TX · On-site

$150 - $200/hr

Develop AI agent software and system integrations using Python, SQL, Flask, and FastAPI * Build ... Mentor junior engineers through code reviews, pair programming, technical coaching, and ...

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Junior Ai Agent Developer information

What does a junior AI agent developer do?

A Junior AI Agent Developer assists in designing, developing, and testing intelligent software agents that can perform tasks autonomously or interact with users. They typically work under the supervision of senior developers, contributing to coding, debugging, and integrating AI algorithms into applications. Their responsibilities may also include data preprocessing, model training, and monitoring agent performance. Junior developers often collaborate with team members to learn best practices and improve their technical skills in AI development.

What are the key skills and qualifications needed to thrive as a junior AI agent developer?

To thrive as a Junior AI Agent Developer, you need a solid background in programming (especially Python), foundational knowledge of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, experience using version control systems (e.g., Git), and understanding APIs are commonly required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and learn rapidly in a dynamic field. These skills ensure you can contribute to developing, testing, and refining AI agents that perform reliably and efficiently.

What are some typical challenges faced by junior AI agent developers when working on real-world projects?

Junior AI Agent Developers often encounter challenges such as adapting to rapidly evolving AI frameworks, integrating agent models with existing software systems, and debugging complex machine learning pipelines. Additionally, collaborating effectively with data scientists, backend engineers, and product managers requires strong communication skills and a willingness to learn from more experienced colleagues. Overcoming these challenges provides valuable learning experiences and helps build a solid foundation for career advancement in AI development.

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

AspectJunior Ai Agent DeveloperAI Software Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, AI, or related; advanced certifications
Work EnvironmentStart-up, tech companies, AI labs; collaborative teamsTech firms, research institutions; more complex projects
Employer & Industry UsageAI startups, tech companies, industries adopting AILarge tech firms, R&D departments, AI-focused companies
Common Search & ComparisonYesNo

The Junior Ai Agent Developer typically focuses on developing and implementing AI agents under supervision, while an AI Software Engineer handles more complex AI system design, optimization, and integration. The roles differ mainly in experience level and project complexity, with the AI Software Engineer requiring more advanced skills and experience.

What are the most commonly searched types of Ai Agent Developer jobs in Texas?

The most popular types of Ai Agent Developer jobs in Texas are:

What cities in Texas are hiring for Junior Ai Agent Developer jobs?

Cities in Texas with the most Junior Ai Agent Developer job openings:

Infographic showing various Junior Ai Agent Developer job openings in Texas as of August 2026, with employment types broken down into 75% Full Time, 7% Part Time, and 18% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Python AI Agent Developer - Dallas, TX

Photon

Dallas, TX

$49.75 - $68.50/hr

Full-time

Re-posted 2 days ago


Job description

Python Developer 3 to 4 Years (Framework Development & Agentic AI nice to have) 

We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently. 

Key Responsibilities: 

Design, develop, and maintain Python frameworks that provide reusable components and structure for applications. 

Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations. 

Implement best practices in software engineering: OOP, design patterns, modular architecture. 

Develop APIs and SDKs for framework adoption across teams. 

Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK). 

Ensure security, reliability, and observability of framework components. 

Write unit/integration tests and maintain CI/CD pipelines. 

Document frameworks, APIs, and libraries for developer adoption. 

Participate in code reviews, mentor junior developers, and contribute to technical design discussions. 

Required Skills & Experience: 

Strong proficiency in Python (3.x), with focus on OOP and modular design. 

Proven experience in building frameworks, libraries, or SDKs (not just applications). 

Expertise in design patterns, dependency injection, and plugin-based architectures. 

Experience with FastAPI, Flask, Django or similar web frameworks. 

Solid understanding of APIs (REST, GraphQL) and API gateway integration. 

Knowledge of async programming (asyncio, aiohttp). 

Proficiency in testing frameworks (PyTest, unittest) and CI/CD workflows. 

Strong grasp of security practices (OAuth2, JWT, IAM integration). 

Familiarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks. 

Nice to Have: 

Experience with Agentic AI frameworks (LangChain, LlamaIndex, Google ADK, AutoGen). 

Knowledge of LLM fine-tuning, prompt engineering, and guardrails. 

Exposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams). 

Experience with observability tools (Prometheus, OpenTelemetry, Cloud Logging). 

Contributions to open-source Python frameworks or libraries. 

Ideal Candidate: 

A framework builder mindset - you enjoy designing systems other developers will use. 

Passionate about AI and automation, eager to experiment with agent-driven architectures.Â