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Ai Engineer Contract Jobs in Texas (NOW HIRING)

Requirement - AI Engineer Location- Plano, Texas(Onsite) Contract W2 Requirements Essential Functions: Description / Essential Functions: AI Research & Emerging-Tech Exploration · Continuously ...

Denver, CO (2-3 days onsite) Contract: 6-12 months Contract To Hire C2H Job Summary: Seeking an operational AI governance professional who owns the day-to-day mechanics of AI governance. This role ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud experience. * Python/PySpark ...

Contract Key Skills - AI, Python, Rag, LLM Overview We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications . This role combines hands-on development with ...

AI Engineer

Plano, TX · On-site

$78/hr

AI Engineer Location: Plano, TX Duration: 6 Months + Extension Bill Rate: $78/hour Job Type ... C2C/1099 Contract Client: To Be Discussed Later Work Authorization: US-Citizen, H-1B, OPT-EAD, GC ...

AI Engineer

San Antonio, TX · On-site

$99 - $225/hr

... as well as contract-specific affordability and organizational requirements. The projected ... AI Engineer The Opportunity: As an AI Engineer, you will integrate AI-enabled capabilities into ...

Denver, CO (2\-3 days onsite) Contract: 6\-12 months Contract To Hire C2H Job Summary: Seeking an operational AI governance professional who owns the day\-to\-day mechanics of AI governance. This ...

... before engineering teams take them to production. · Design, test, and iterate on AI workflows ... Position Type/Expected Hours of Work: · Onsite contract: Standard business hours · Occasional ...

AI Engineer

Austin, TX · On-site

$60K - $135K/yr

AI Engineer City: Austin State/Province: Texas Posting Start Date: 8/7/26 Wipro Limited (NYSE: WIT ... structures, API contracts, and data models into structured specs that guide AI-assisted ...

AI Engineer

San Antonio, TX · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI Engineer, you will integrate AI-enabled capabilities into ... as well as contract-specific affordability and organizational requirements. The projected ...

AI Engineer

San Antonio, TX · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI Engineer, you will integrate AI-enabled capabilities into ... as well as contract-specific affordability and organizational requirements. The projected ...

AI Engineer

San Antonio, TX · On-site

$99K - $225K/yr

As an AI Engineer, you will integrate AI-enabled capabilities into existing sof tware systems by ... as well as contract-specific affordability and organizational requirements. The projected ...

AI Engineer

San Antonio, TX · On-site +1

$99K - $225K/yr

As an AI Engineer, you will integrate AI-enabled capabilities into existing software systems by ... as well as contract-specific affordability and organizational requirements. The projected ...

Overview As an AI Engineer specializing in Agentic AI enablement, you will participate in the ... Implement robust automated testing across layers: unit tests for prompt/tool wrappers, contract ...

Overview As an AI Engineer specializing in Agentic AI enablement, you will participate in the ... Implement robust automated testing across layers: unit tests for prompt/tool wrappers, contract ...

AI/ML Engineer Contract: 12 months Location: Austin, TX (hybrid) *NO CTC or 3rd Party Vendors will be accepted** We are seeking an AI/ML Engineer for a contract engagement to support critical ...

Collaborates with Data Engineering to define data contracts, feature pipelines, and integration points between the MS SQL Server/DB2 data warehouse and AI systems. - Evaluates and prototypes emerging ...

Collaborates with Data Engineering to define data contracts, feature pipelines, and integration points between the MS SQL Server/DB2 data warehouse and AI systems. - Evaluates and prototypes emerging ...

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Ai Engineer Contract information

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

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

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

What is the difference between Ai Engineer Contract vs Data Scientist Contract?

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

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

The most popular types of Ai Engineer jobs in Texas are:

What are popular job titles related to Ai Engineer Contract jobs in Texas?

For Ai Engineer Contract jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Contract jobs in Texas look for?

The top searched job categories for Ai Engineer Contract jobs in Texas are:

What cities in Texas are hiring for Ai Engineer Contract jobs?

Cities in Texas with the most Ai Engineer Contract job openings:

Infographic showing various Ai Engineer Contract job openings in Texas as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

AI Engineer

1 point system

Plano, TX • On-site

Contractor

Re-posted 21 days ago


Job description

Requirement - AI Engineer

Location- Plano, Texas(Onsite)

Contract W2

Requirements

Essential Functions:                                                                                                              

Description / Essential Functions:

AI Research & Emerging-Tech Exploration

·       Continuously research advancements in AI/ML, with a strong focus on Generative AI, LLM architectures, agent frameworks, and multimodal models.

·       Evaluate emerging tools, frameworks, and APIs such as ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector DBs, RAG frameworks, orchestration tools, and model hosting platforms.

·       Identify opportunities where new AI capabilities can solve business problems or streamline client’s operations.

Rapid Prototyping & Hands-On Development

·       Build rapid, functional prototypes with a strong hands-on coding approach using Python, modern AI SDKs, and model APIs.

·       Develop experimental features and concepts that validate feasibility before engineering teams take them to production.

·       Design, test, and iterate on AI workflows, pipelines, agentic systems, and retrieval-augmented applications.

Technical Experimentation & Evaluation

·       Conduct benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance.

·       Compare models, frameworks, and architectures to recommend best-fit technologies for production teams.

·       Document findings with clarity, experiment logs, model performance summaries, reproducible code samples, and technical write-ups.

Collaboration With Engineering & Stakeholders

·       Work hand-in-hand with engineering teams to transition prototypes into scalable production-ready systems.

·       Translate experimental results into actionable recommendations for architecture, infrastructure, and model deployment.

·       Engage with product managers, business partners, and data scientists to align prototypes with real-world needs.

Thought Leadership & Knowledge Sharing

·       Track market activity, academic research, open-source contributions, and competitor innovation trends.

·       Present insights, demos, and proposals to technical leadership and stakeholders.

·       Foster a culture of AI innovation through workshops, documentation, and internal knowledge sharing.

Minimum qualification:                                                                                                                      

Required Education & Experience:

Technical & Research Expertise

·       Bachelor’s degree (or equivalent experience) in Computer Science, AI, Data Science, or a related technical field.

·       5+ years of hands-on experience in AI engineering, research engineering, ML prototyping, or similar roles.

·       Strong programming proficiency in Python and familiarity with major AI/ML frameworks (TensorFlow, PyTorch).

·       Practical experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools.

·       Experience building rapid prototypes, POCs, and experimental AI applications.

Applied AI & Tooling Knowledge

·       Deep understanding of AI ecosystems such as OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, etc.

·       Familiarity with developer tools like GitHub Copilot, GPT-based coding assistants, and modern MLOps workflows.

·       Comfort exploring model internals, parameter tuning, API integrations, and evaluation frameworks.

Soft Skills & Collaboration

·       Strong ability to translate cutting-edge research concepts into practical technical solutions.

·       Excellent communication and documentation skills for both technical and non-technical audiences.

·       Curiosity-driven mindset and commitment to daily research, experimentation, and continuous learning.

·       Ability to manage multiple research tracks, prototypes, and fast-moving developments.

Preferred qualification:                                                                                                                      

·       Experience with fine-tuning, LoRA, or custo

·       Background in agentic AI systems, automation frameworks, and workflow orchestration.

·       Prior experience publishing research insights or contributing to open-source AI projects.

·       Certifications in advanced AI/ML topics or cloud AI platforms.

Position Type/Expected Hours of Work:

·       Onsite contract: Standard business hours

·       Occasional after-hours or weekend work may be required based on business need

Thank You

Ranjeet Kumar | 1Point System LLC

Senior Technical Recruiter