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Deepseek Jobs in Texas (NOW HIRING)

INFOSYS NOVA HOLDINGS LLC

AI Engineer

Fort Worth, TX · On-site

$114K - $150K/yr

Integrate commercial and open-source LLMs such as GPT, Claude, Gemini, Llama, Mistral, Mixtral, Falcon, Cohere, DeepSeek , and domain-specific fine-tuned models. * Develop secure and scalable backend ...

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Deepseek information

What is a deepseek engineer?

Deepseek engineers are professionals who specialize in developing and implementing advanced artificial intelligence (AI) and machine learning solutions, often focusing on natural language processing and search technologies. They typically work for Deepseek, a company known for its work in large language models and AI-driven search capabilities. Their responsibilities include designing, training, and optimizing AI models, as well as integrating these solutions into products and services. Deepseek engineers often collaborate with data scientists and product teams to ensure the technology meets user needs and industry standards.

What are the key skills and qualifications needed to thrive as a deepseek engineer?

To thrive as a Deep Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with neural networks. Proficiency in Python, TensorFlow, PyTorch, and familiarity with cloud computing platforms and GPU acceleration is typically required. Strong problem-solving skills, creativity, and effective communication help you design novel models and collaborate with multidisciplinary teams. These skills enable the development and deployment of advanced AI solutions that drive innovation and real-world impact.

What are the typical collaboration patterns for deepseek engineers, and how do they work with cross-functional teams?

Deep Learning Research Engineers at Deepseek frequently collaborate with data scientists, software engineers, and product managers to develop and optimize machine learning models. They participate in regular team meetings to align on project goals, share research findings, and integrate new algorithms into production systems. Effective communication is crucial, as these engineers often translate complex research concepts into actionable tasks for engineering teams. This collaborative environment fosters innovation and ensures that research outcomes can be successfully deployed within real-world applications.

What is the difference between Deepseek vs Data Analyst?

AspectDeepseekData Analyst
Required CredentialsTypically requires a background in computer science, data science, or related fields; certifications in data analysis or machine learning are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are beneficial
Work EnvironmentPrimarily technical, involving data processing, algorithm development, and machine learning model trainingPrimarily analytical, involving data interpretation, reporting, and visualization
Employer & Industry UsageUsed in tech companies, AI firms, and research institutions focusing on machine learning and AI solutionsUsed across various industries including finance, marketing, healthcare, and consulting for data-driven decision making

Deepseek focuses on developing AI and machine learning models, requiring technical expertise in algorithms and programming. Data Analysts interpret and visualize data to support business decisions. While both roles work with data, Deepseek is more technical and research-oriented, whereas Data Analysts focus on insights and reporting.

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

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

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

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

What cities in Texas are hiring for Deepseek jobs?

Cities in Texas with the most Deepseek job openings:

Deepseek jobs near you
Infographic showing various Deepseek job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, and 10% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Agentic AI Architect/Engineer (Local)

Tempe, AZ • On-site

Nityo Infotech
IT Services • 10K+ employees
Learn more about Nityo Infotechexternal

$61.25 - $80.75/hr

Other

Posted 5 days ago

Job description

Agentic AI Architect

Hartford, CT, Plano, TX, Raleigh, NC, Richardson, TX, Tempe, AZ.


Required Skill and Experience

• Experience in Enterprise GenAI and Agentic AI solutions across RAG, AI agents, conversational AI, enterprise search

• Experience in workflow automation, document intelligence, and AI copilots

• Experience in planner-executor, reflection, multi-agent, and graph-based orchestration patterns.

• Experience in Hands-on with orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI) and vector databases (Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, Azure AI Search)

• Experience in integrating GenAI with AWS Bedrock, Vertex AI, OpenAI, Anthropic, and Gemini, along with enterprise APIs, middleware, and data platforms.


Preferred Skill and Experience

• Exposure to open-source LLM ecosystems — Hugging Face, PyTorch, LoRA, QLoRA, PEFT — and models such as Llama, Mistral, Gemma, DeepSeek, and Falcon.

• Familiarity with multimodal AI, including vision-language models, speech and audio models, and image or video generation.

• Familiarity with DevOps and IaC tooling (GitHub Actions, Jenkins, Terraform, Helm, Kubernetes) and awareness of front-end stacks (React, Angular, TypeScript, GraphQL) used in copilot interfaces.

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