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Assistant Python Jobs in Carrollton, TX (NOW HIRING)

RealPage, Inc.

AI Engineer (DFW Hybrid)

Richardson, TX · On-site

$85.80K - $146.20K/yr

Conversational assistants, task-based copilots, and AI agents * Summarization, content generation ... Python for AI/ML, data pipelines, and back-end services * JavaScript/TypeScript for front-end and ...

Infosys

Graph DB Developer

Plano, TX · On-site

Responsibilities : • Assist in conducting targeted interviews and workshops to capture user needs ... Scala or Python • Design and build and deploy streaming and batch data pipelines capable of ...

Cna

Senior Unix/Linux Engineer

Plano, TX · Hybrid

At CNA, we strive to create a culture in which people know they matter and are part of something ... Guide development patterns for scripting (shell, Python, PowerShell) used by MSPs; review approach ...

smiledoctors

AI Developer

Dallas, TX

... AI assistants * Implement automation flows in Power Automate to support AI-enabled workflows * Write clean, maintainable code in Python, C# or PowerShell for data processing, orchestration, and AI ...

OnTrack Staffing Haslet, TX

Be Seen First

Testing Engineer

Fort Worth, TX · On-site

$25 - $29/hr

This role performs basic Linux and Python operations to assist in troubleshooting, automation, and test execution, while collaborating with engineers to maintain quality and efficiency. Testing ...

Veteran-friendly

Urgent

Training provided

RealPage, Inc.

Sr. AI Developer

Richardson, TX · On-site

$125.70K - $213.90K/yr

Python and TypeScript/JavaScript in production environments * Designing and operating distributed ... Working with coding assistants like Windsurf, Cursor, Codex, etc. * Proven track record of:

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How much do assistant python jobs pay per hour?

As of May 31, 2026, the average hourly pay for assistant python in Carrollton, TX is $18.29, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $20.43 per hour, depending on experience, location, and employer.

What is an Assistant Python job?

An Assistant Python job typically involves supporting software development, data analysis, or automation tasks using Python. Responsibilities may include writing scripts, debugging code, managing databases, or assisting senior developers in projects. This role is ideal for those looking to gain experience in Python programming and expand their technical skills in various applications such as web development, machine learning, or data science.

What are the key skills and qualifications needed to thrive in the Assistant Python position, and why are they important?

To thrive as a Python Assistant, you need a solid understanding of Python programming, knowledge of software development practices, and often a relevant degree in computer science or a related field. Experience with code versioning tools like Git, familiarity with frameworks such as Flask or Django, and certifications in Python development can be advantageous. Strong problem-solving abilities, effective communication, and attention to detail are important soft skills for collaborating with development teams. These qualifications ensure you can efficiently support software projects, troubleshoot issues, and contribute to high-quality codebases.

What are the typical responsibilities of an Assistant Python developer in a software team?

As an Assistant Python developer, your daily responsibilities often include supporting senior developers with coding tasks, debugging and testing applications, and contributing to documentation. You may also be involved in code reviews, system integration, and maintaining existing software solutions. The role usually requires close collaboration with other team members, such as front-end developers, QA analysts, and project managers, to ensure cohesive project progress. This position provides a great learning environment and opportunities to develop technical skills that can lead to more advanced Python development roles.
More about Assistant Python jobs
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What job categories do people searching Assistant Python jobs in Carrollton, TX look for? The top searched job categories for Assistant Python jobs in Carrollton, TX are:
Assistant Python jobs near you
AI Engineer (DFW Hybrid)

AI Engineer (DFW Hybrid)

RealPage, Inc.

Richardson, TX • On-site

$85.80K - $146.20K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

167th of 184 rated software companies

Job description

Overview
RealPage is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the Property Tech domain. Our Agentic AI team is focused on driving innovation by building next generation AI applications and enhancing existing systems with Generative AI capabilities.
We are seeking an AI Engineer to help us with the development, deployment, and scaling of advanced AI applications that address real-world challenges. In this role, you will focus on designing, building, and scaling advanced AI applications in the PropTech space. You will work with state-of-the-art foundation models, RAG architectures, and multi-agent systems while partnering closely with product, design, and engineering teams.
You will be responsible for taking AI concepts from ideation to production, owning end-to-end solutions that improve our products and transform user experiences.
Responsibilities
  1. Agentic AI & Generative Application Engineering
  • Evaluate and use LLMs and multimodal models from multiple providers (e.g., OpenAI, Google, Anthropic, etc.) for:
    • Conversational assistants, task-based copilots, and AI agents
    • Summarization, content generation, document understanding, generative analytics
    • Basic multimodal use cases (text + image, text + document, and soon video/audio)
  • Design and implement agentic workflows (e.g., tool-calling, multi-step reasoning, multi-agent orchestration) using:
    • LangChain, OpenAI Agents SDK, Google ADK or similar frameworks.
  1. Prompt Engineering & Guardrails
  • Design and optimize prompts and system instructions to:
    • Improve task completion, reliability, and latency
    • Minimize hallucinations and toxic/unsafe outputs
  • Implement structured outputs (JSON/JSON Schema)
  • Develop function/tool calling and prompts that help AI call them properly
  • Integrate safety/guardrail layers (e.g., content moderation APIs, Guardrails AI, Rebuff, custom policies) to keep conversations focused
  1. RAG & Knowledge Integration
  • Architect and implement RAG pipelines:
    • Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.)
    • Build ingestion pipelines for internal data (documents, tickets, logs, property data, etc.)
    • Implement knowledge retrieval process that draws from multiple sources and uses reranking to improve the response quality.
  • Explore emerging retrieval techniques (semantic caching, knowledge graphs, long-context models, memory systems).
  1. Full-Stack & System Integration
  • Build or integrate front-end experiences (React / Vue / Svelte / Web RTC) for AI agents and copilots.
  • Develop back-end services to orchestrate AI calls using REST, gRPC, WebSockets, or MCP; ensure scalability and observability.
  • Integrate with internal systems and PropTech data sources using secure APIs and data contracts.
  1. Evaluation, Monitoring & Optimization
  • Design and maintain evaluation pipelines and benchmarks for LLM-based features:
    • Offline metrics (accuracy, relevance, latency, cost)
    • Human-in-the-loop evaluations where needed
  • Use AI observability and tracing tools (e.g., LangSmith, OpenTelemetry, etc.) to monitor quality.
  • Optimize for performance, reliability, latency, and cost through:
    • Model selection and routing (e.g., small vs. large models, Google vs. OpenAI)
    • Prompt/token optimization and caching strategies.
  1. Collaboration, Documentation & Delivery
  • Collaborate with cross-functional teams (Product, Design, Domain Experts, Data Science, Platform Engineering) to define requirements and success metrics.
  • Participate in architecture and design reviews; write clear technical documentation and runbooks.
  • Contribute to shared libraries, templates, and best practices for AI development.
  • Work in an Agile environment and own features from design through deployment and maintenance.

Qualifications
  • 3+ years of total experience in Software Engineering and/or Data Science, with at least 1+ years focused on Generative AI/LLMs.
  • Degree in Computer Science, Machine Learning, Data Science, or related field, or equivalent practical experience.
  • Strong proficiency in:
    • Python for AI/ML, data pipelines, and back-end services
    • JavaScript/TypeScript for front-end and/or Node services
    • SQL and experience working with relational databases and basic data modeling
  • Working with coding assistants like Windsurf, Cursor, Codex, etc.
  • Proven experience building production-grade software:
    • Writing clean, testable, maintainable code
    • Using CI/CD pipelines, code reviews, and Git workflows
  • Hands-on experience with:
    • At least one agentic/orchestration framework (OpenAI Agents SDK, Google ADK, LangChain, etc.)
    • LLM APIs and/or open-source models (e.g., via OpenAI, Google, Hugging Face, Ollama)
    • Vector embeddings, vector databases, and RAG architectures
  • Experience with one or more major cloud platforms (GCP, Azure, and AWS) and:
    • Docker for containerization
    • Kubernetes or a managed container service (e.g., EKS, GKE, AKS)
  • Strong communication skills and ability to collaborate with both technical and non-technical stakeholders.

Nice-to-Have Skills / Abilities
  • Experience with:
    • Voice-enabled AI agents (STT, TTS, WebRTC, Twilio Voice, Socket.IO, VAPI)
    • Multimodal models (e.g., GPT models including Realtime, Gemini Pro Vision, etc.)
    • Orchestrating multiple models (routing, ensembles, fallback strategies)
  • Familiarity with:
    • AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)
    • Feature stores, data versioning (e.g., Feast, DVC), and MLOps workflows
    • Browser automation software such as PlayWright
  • Background in:
    • AI security, privacy, and compliance (PII handling, SOC2, GDPR considerations)
    • A/B testing and online experimentation for AI features.

SALARY AND BENEFITS
  • RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Performance-based bonus based on position. #LI-JL1 #LI-HYBRID

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.
Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.
Pay Range
USD $85,800.00 - USD $146,200.00 /Yr.

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