Senior AI Engineer (GenAI, LLMs & Python) | Dazzle IT Services | Fort Worth, TX

Dazzle IT Services; Fort Worth (TX); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Dazzle IT Services in Fort Worth, TX seeks a Senior AI Engineer to lead GenAI production deployments and multi-cloud AI infrastructure. Hybrid work: 3 days onsite weekly, final round in-person.

You will own end-to-end AI architectures, LangChain/LangGraph workflows, RAG, vector databases, and scalable ML pipelines, collaborating with cross-functional teams and stakeholders.

Qualifications

• 10+ years of progressive software development in AI
• Hands-on GenAI production development and LLM deployment
• Strong Python coding for AI systems
• Experience with agentic AI, LangChain/LangGraph, Semantic Kernel
• Proven cloud-native deployments across Azure, AWS, GCP

Responsibilities

• Architect, design, develop, test, and deploy enterprise-grade generative AI and ML solutions into live production environments.
• Write robust, scalable Python code for backend AI services and data pipelines.
• Build agentic AI systems and multi-agent workflows with LangChain, LangGraph, Semantic Kernel.
• Design and optimize RAG architectures and high-performance vector databases.
• Configure multi-cloud AI workloads across Azure, AWS, and GCP.
• Collaborate with data science, software engineering, and DevOps teams.

Skills

GenAI production

LLM deployment

Python coding

LangChain

LangGraph

Semantic Kernel

RAG

Multi-cloud deployments

Team leadership

Education

Bachelor’s or Master’s in CS/AI/ML/Data Science

Tools

LangChain

LangGraph

Semantic Kernel

Azure

AWS

GCP

Vector databases

Job description

Position Summary

Driving advanced artificial intelligence engineering, generative AI production development, and intelligent agent architectures in Fort Worth, Texas, Dazzle IT Services is actively seeking an accomplished Senior AI Engineer for a permanent full-time hybrid professional engagement (3 days onsite per week; final interview round requires mandatory in-person attendance). In this vital technical leadership role, you will take full operational, tactical, and technical ownership of GenAI production applications, robust Python coding, Large Language Model (LLM) orchestration, agentic AI workflows, LangChain, LangGraph, Semantic Kernel, Retrieval-Augmented Generation (RAG), vector databases, and multi-cloud AI infrastructure deployments across Azure, AWS, and GCP. Bringing 10+ years of progressive professional experience in software engineering and artificial intelligence development, you will empower an elite technology enterprise to achieve uncompromised machine learning performance, scalable intelligent automation, and superior digital enterprise solutions. This prestigious career opportunity offers competitive remuneration, enterprise technology exposure, and professional growth within a leading global IT staffing and software engineering consultancy.

Detailed Job Description

As a Senior AI Engineer supporting Dazzle IT Services on a hybrid professional basis in Fort Worth, Texas (3 days onsite/week), you will take full operational, tactical, and technical ownership of end-to-end artificial intelligence architecture, production model deployment, agentic workflow design, vector database integration, and cross-functional engineering collaboration. Your day-to-day responsibilities include designing, developing, and deploying generative AI solutions into enterprise production environments, writing clean, high-performance Python code for machine learning pipelines and AI workflows, building sophisticated agentic AI and LLM applications utilizing LangChain, LangGraph, and Semantic Kernel, developing scalable Retrieval-Augmented Generation (RAG) systems and integrating advanced vector databases, configuring multi-cloud AI infrastructure across Azure, AWS, and GCP, collaborating proactively with data science teams, product owners, and engineering squads, and interacting directly with talent acquisition teams like Tanuja at Dazzle IT Services. Furthermore, you will manage application requirements by submitting your updated resume via direct email to [e-mail].

Key Responsibilities

• Architect, design, develop, test, and deploy enterprise-grade generative AI and machine learning solutions into live production environments.
• Write robust, highly scalable, and clean Python code for backend AI services, API integrations, and data processing pipelines.
• Build advanced agentic AI systems, autonomous multi-agent workflows, and LLM orchestration applications utilizing LangChain, LangGraph, and Semantic Kernel.
• Design, implement, and optimize Retrieval-Augmented Generation (RAG) architectures and high-performance vector databases.
• Configure, manage, and scale cloud-native AI workloads across multi-cloud environments including Azure, AWS, and GCP.
• Collaborate proactively with data science, software engineering, and DevOps teams to streamline model deployment and monitoring.
• Ensure strict adherence to enterprise AI ethics, data security compliance, and model governance standards.
• Maintain meticulous technical documentation, model evaluation reports, API specifications, and infrastructure runbooks.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline.
• Minimum of 10+ years of progressive professional hands-on software development experience with strong AI engineering expertise.
• Strong, demonstrable operational expertise in GenAI production development and Large Language Model (LLM) deployment.
• Comprehensive working knowledge and practical proficiency in advanced Python coding for AI systems.
• Deep practical experience with agentic AI development, LangChain, LangGraph, and Semantic Kernel frameworks.
• Solid practical grasp of Retrieval-Augmented Generation (RAG) patterns and enterprise vector database management.
• Proven hands‑on proficiency in cloud-native deployment across Azure, AWS, and GCP environments.
• Mandatory availability for hybrid professional operations in Fort Worth, TX (3 days onsite/week) and a mandatory in-person final interview round.
• Mandatory legal work authorization and physical availability for professional operations in the United States.

Nice-to-Have Skills

• Professional data science experience and predictive modeling expertise.
• Domain expertise in Airline or Transportation industry technology platforms and booking systems.
• Professional vendor certifications such as AWS Certified Machine Learning Specialty or Azure AI Engineer Associate.
• Experience utilizing enterprise agile tracking and IT service desk platforms (Jira, Confluence, ServiceNow).
• Active participation in artificial intelligence research groups, LLM developer communities, or machine learning forums.

Application Information

• Recruiter: Dazzle IT Services Recruitment Division
• Contact Name: Tanuja (Technical Recruitment Specialist)
• Email: [e-mail]
• Company Website: https://www.dazzleitservices.com
• Salary/Rate: Market Competitive / Enterprise Artificial Intelligence Package
• Work Schedule: Hybrid Professional Operations in Fort Worth, TX (3 days onsite/week)
• Deadline: Open until filled (Urgent Senior AI Engineer Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time Employment (Hybrid)

Recruitment Pro Tip

When applying for this Senior AI Engineer position with Dazzle IT Services in Fort Worth, ensure your resume explicitly highlights your GenAI production deployment tenure, LangChain/LangGraph agentic workflow portfolio, and RAG vector database expertise.