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Python Engineer Ai Jobs in Texas City, TX (NOW HIRING)

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AI Engineer

Houston, TX · On-site

As an AI Engineer on this team, you will partner with AI and Machine Learning Engineers across the ... Develop software solutions using Python and/or Typescript and/or C#. * Design and implement AI ...

Pwc

GenAI Python Systems Engineer-Director

Houston, TX · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Accenture

Senior Advanced AI Research Engineer

Houston, TX · On-site

$99K - $137K/yr

Our Data & AI practice brings together more than 45,000 professionals helping clients design ... You are a strong Python engineer who can move fluently between an experiment and a well-structured ...

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All JobsPython Engineer Ai JobsPython Engineer Ai Jobs in Texas City, TX

Python Engineer Ai information

See Texas City, TX salary details

$19.7K

$119.8K

$173.3K

How much do python engineer ai jobs pay per year?

As of Aug 31, 2026, the average yearly pay for python engineer ai in Texas City, TX is $119,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $140,800.00 per year, depending on experience, location, and employer.

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

AspectPython Engineer AiData Scientist
Required SkillsPython, AI/ML frameworks, software developmentStatistics, data analysis, Python, machine learning
Work EnvironmentSoftware development teams, AI projectsResearch, data analysis, business insights
Common CertificationsPython certifications, AI/ML coursesData Science certifications, statistical courses
Industry UsageTech, AI startups, software companiesFinance, healthcare, marketing, research

Python Engineer Ai focuses on developing AI applications and integrating machine learning models into software systems, requiring strong programming skills. Data Scientists analyze data to extract insights, often using statistical methods and data visualization. While both roles involve Python and machine learning, Python Engineer Ai emphasizes software development for AI solutions, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Python Engineer Ai jobs in Texas City, TX?

For Python Engineer Ai jobs in Texas City, TX, the most frequently searched job titles are:

What job categories do people searching Python Engineer Ai jobs in Texas City, TX look for?

The top searched job categories for Python Engineer Ai jobs in Texas City, TX are:

What cities near Texas City, TX are hiring for Python Engineer Ai jobs?

Cities near Texas City, TX with the most Python Engineer Ai job openings:

Python Engineer Ai jobs near you

AI Engineer with Python

Texas City, TX • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

Full-time

Posted 23 days ago

Job description

Job Title: AI Engineer
Locations: Plano, TX | Columbus, OH | Wilmington, DE
Job Summary
We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications using modern machine learning and generative AI technologies. The ideal candidate has strong programming skills in Python and Java, along with hands-on experience building Agentic AI solutions using LLMs, orchestration frameworks, and cloud-native architectures.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 5+ years of software engineering experience with a focus on AI/ML applications.
  • Strong proficiency in Python and Java.
  • Experience designing and implementing Agentic AI systems using Large Language Models (LLMs).
  • Hands-on experience with AI orchestration frameworks such as LangGraph, LangChain, AutoGen, CrewAI, or similar.
  • Experience integrating AI applications with REST APIs, databases, and enterprise systems.
  • Strong understanding of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI workflows.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with containerization and orchestration technologies including Docker and Kubernetes.
  • Experience with Git, CI/CD pipelines, and Agile development methodologies.
  • Strong analytical, debugging, and problem-solving skills.
Preferred Qualifications
  • Experience working with OpenAI, Anthropic, Google Gemini, or open-source LLMs.
  • Knowledge of AI observability, evaluation, guardrails, and model monitoring.
  • Experience with vector databases such as Pinecone, Chroma, FAISS, or Milvus.
  • Familiarity with MLOps practices and model deployment pipelines.
  • Experience building conversational AI, AI assistants, or autonomous agents.
Key Responsibilities
  • Design and develop scalable AI applications using Python and Java.
  • Build and deploy Agentic AI solutions capable of planning, reasoning, and executing multi-step workflows.
  • Develop LLM-powered applications using prompt engineering, RAG, and vector search techniques.
  • Integrate AI services with enterprise applications, APIs, and data platforms.
  • Optimize AI model performance, latency, and cost.
  • Collaborate with product managers, data scientists, architects, and software engineers to deliver AI-driven solutions.
  • Implement testing, monitoring, security, and governance for AI applications.
  • Stay current with advancements in Generative AI, Agentic AI, and emerging AI technologies.

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