Gen AI Engineer - W2 Requirement

Role:  Sr Engineer 11154

Location:-  Fort Worth, TX Hybrid (3 days onsite per week)

Interview:- In Person(Mandatory for final round).

Top 3 Must Haves: Gen AI Production Development, Python Coding, AI Engineering

Nice to Have Skills: Coding engineering, Data Science

JOB DESCRIPTION:

Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions.

Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development.

Serve as technical lead in developing Agentic solutions.

Troubleshoot and debug complex issues; identify and implement solutions.

Create detailed project specifications, requirements, and estimates.

Research and implement new AI technologies to enhance current processes, security, and performance.

Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs.

Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. 

Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. 

Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. 

All you'll need for success/Minimum Qualifications- Education & Prior Job Experience

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.

5+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments.

5+ years of professional, design, and open-source experience.

Preferred Qualifications- Education & Prior Job Experience

Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.

7 years of full Software Development Life Cycle (SDLC) experience.

Prior experience designing and building agentic systems.

2+ years prior experience developing and implementing AI solutions using Large-Language Models (LLMs).

Airline or transport industry experience is a plus.

Skills, Licenses & Certifications

Practical understanding of transformer architectures and how modern LLMs work.

Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks.

Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models.

Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns.

Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs.

Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection.

Experience developing and implementing governance frameworks and controls for responsible AI.

Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus.

Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics.

Strong proficiency in Python; working knowledge of Java or another enterprise language.

Proficiency in object-oriented design techniques and principles.

Experience with cloud platforms (Azure, AWS, or Google Cloud Platform) and cloud-native development patterns.

Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent.

Experience with RESTful API design and integration patterns (JSON, microservices).

Experience in Agile methodologies, such as SCRUM.

Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.).