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Crewai Jobs (NOW HIRING)

GTSS Inc

AI Engineer

Dallas, TX · On-site

Hands-on experience with modern agent development frameworks, particularly Google ADK, as well as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar. * Focus on AI application engineers building ...

Lorven Technologies

GenAI Solution Architect

Warren, NJ · On-site

$65 - $85.75/hr

Warren, NJ 07059 (Hybrid) Employment Type: Full time Mandatory skill - Agentic AI Frameworks Langchain, LangGraph, CrewAI, Vertex.AI, Autogen etc.) * Bachelor's degree in Computer science or ...

Tata Consultancy Services

NVIDIA Solution Architect

Edison, NJ · On-site

$64 - $84.25/hr

... CrewAI, LangGraph, and custom frameworks • Deploy high‑performance inference using NVIDIA NIM • Enforce grounding, safety, and compliance using NeMo Retriever and NeMo Guardrails • Drive ...

Cliff Services Inc

AI/LLM Eng

Jersey City, NJ · On-site

Large Language Models (OpenAI/Azure OpenAI or similar) Very strong Prompt engineering skilla, function calling, RAG architectures Agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen or ...

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Crewai information

What are the key skills and qualifications needed to thrive as a Crew AI 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 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.
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Crewai jobs near you
Infographic showing various Crewai job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.
Sr AI/ML Engineer with Python + AWS

Sr AI/ML Engineer with Python + AWS

Delviom LLC

Plano, TX • On-site

Other

Posted 4 days ago

Job description

Job Title: Sr AI/ML Engineer with Python + AWS

Location: Plano, TX (Onsite)

Duration: 6-month contract-to-hire

2 rounds of interviews (final round onsite) + Coding session

Job Responsibilities

  • Looking for a very strong Python developer with a focus on AI/ML Applications AI/ML is the primary with Python as the coding side
  • Must be very strong in RAG architecture as well as deployments - chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)
  • Must be very strong in AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)
  • Must have experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI
  • Understanding of chat bots (speech to text, text to speech)
  • Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems
  • Must have Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs
  • Familiarity with evaluation frameworks for LLM outputs
  • Should have experience with guardrails, content filtering, and responsible AI practices

MUST Have skills

  • java or python
  • proficient with AI_ML architecture - hands on work in production
  • CICD pipeline
  • API building
  • 10+ years of software development experience (Java or Python)
  • 2+ years hands-on experience building AI/ML applications in production
  • Strong proficiency with RAG architectures - chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)
  • Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI
  • Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs
  • Proven prompt engineering skills - system prompts, few-shot, chain-of-thought, tool use, structured outputs
  • Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech integration)
  • Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)
  • Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code
  • Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems
  • Familiarity with evaluation frameworks for LLM outputs
  • Experience with guardrails, content filtering, and responsible AI practices

Apply