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Crewai Jobs in Texas (NOW HIRING)

Vytwo

GenAI & Agentic AI Engineer

Dallas, TX · On-site

$120 - $160/hr

Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents . * Design and implement RAG pipelines , vector search solutions, and embedding‑based retrieval ...

Worky

Gen. AI Engineer

Fort Worth, TX · On-site

$140 - $260/hr

Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or similar technologies. * Create secure backend services and APIs using Python, FastAPI, Flask, or ...

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or similar technologies. * Create secure backend services and APIs using Python, FastAPI, Flask, or ...

SCI SOLUTIONS GLOBAL

AI/ML Software Engineer

Plano, TX

$55 - $60/hr

Use AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI . * Develop conversational AI solutions, including text chatbots and voice-enabled applications. * Apply prompt engineering ...

Photon

Python Developer Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Build and implement agent orchestration workflows using modern frameworks such as LangGraph, CrewAI, AutoGen, or similar technologies. LLM Integration: Integrate and optimize LLM-powered capabilities ...

Photon

Python Developer Dallas, TX

Dallas, TX

$49.75 - $68.50/hr

Build and implement agent orchestration workflows using modern frameworks such as LangGraph, CrewAI, AutoGen, or similar technologies. LLM Integration: Integrate and optimize LLM-powered capabilities ...

1 point system

AI Engineer

Plano, TX · On-site

... 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.

Photon

AgenticAI Workflow Engineer | Onsite

Dallas, TX · On-site

LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen. Agentic AI Concepts: Multi-Agent Systems (MAS), Agent Planning, Tool Calling, Memory Management, Human-in-the-Loop (HITL) workflows.

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Crewai information

What is a crewAI?

Crewai is not a traditional job title but rather a term related to CrewAI, an open-source framework that enables the creation and orchestration of collaborative AI agent teams to solve complex tasks. People working with Crewai typically build, configure, or manage multi-agent systems using this framework, often in tech or AI development roles. These professionals leverage agents—autonomous programs—to collaborate, communicate, and achieve shared objectives, streamlining workflows and automating sophisticated processes. Crewai experts are usually skilled in programming, artificial intelligence, and software integration.

What are the key skills and qualifications needed to thrive as a crewAI engineer, and why are they important?

To thrive as a Crew AI Engineer, you need a strong background in computer science, AI/ML algorithms, and proficiency in programming languages like Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and possibly certifications like AWS Certified Machine Learning are typical requirements. Excellent problem-solving skills, teamwork, and adaptability help you stand out in this fast-evolving field. These skills ensure you can design, implement, and maintain robust AI systems that enhance team productivity and drive innovation.

What are some common challenges faced when coordinating tasks within a crewAI team, and how can they be effectively managed?

Crewai team members often work in dynamic, cross-functional groups, which requires effective communication and adaptability. Common challenges include aligning schedules across different time zones, ensuring clear task delegation, and maintaining consistent progress updates. These challenges can be managed by using collaborative project management tools, setting regular check-ins, and fostering a transparent team culture. Open communication and proactive problem-solving help ensure everyone stays informed and engaged.

What are popular job titles related to Crewai jobs in Texas?

For Crewai jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Crewai jobs in Texas look for?

The top searched job categories for Crewai jobs in Texas are:

What cities in Texas are hiring for Crewai jobs?

Cities in Texas with the most Crewai job openings:

Crewai jobs near you
Infographic showing various Crewai job openings in Texas as of August 2026, with employment types broken down into 61% Full Time, and 39% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

GenAI & Agentic AI Engineer

Vytwo

Dallas, TX • On-site

$120 - $160/hr

Other

Re-posted 17 days ago

Job description

Role: GenAI & Agentic AI Engineer

Location: Whippany, NJ (Hybrid)

Hire Type: FTE

Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future.

About Position

We are looking for a skilled GenAI & Agentic AI Engineer with strong experience in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.

What You'll Do
  • Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
  • Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
  • Design and implement RAG pipelines, vector search solutions, and embedding‑based retrieval systems.
  • Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
  • Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions.
  • Implement hallucination reduction, prompt‑engineering strategies, and model evaluation methods.
  • Integrate LLMs with enterprise applications, APIs, and automation workflows.
  • Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
  • Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.
Expertise You'll Bring
  • 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
  • 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps).
  • 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
  • Strong proficiency in Python and ML libraries (Scikit‑learn, Pandas, NumPy).
  • Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
  • Familiarity with building scalable APIs using FastAPI, Flask, or Django.
  • Hands‑on knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
  • Strong understanding of REST APIs, microservices, and integration patterns.
  • Experience with Git, CI/CD, Docker, and model deployment best practices.

Flexible work from home options available.

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