Artificial Intelligence Engineer

MSR Technology Group; Fort Worth (TX); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

MSR Technology Group seeks an AI Software Developer to design and implement enterprise AI solutions with leaders, analysts, PMs, IT architects and customers, applying domain-driven design and test-driven development.

Responsibilities span the full SDLC in hosted production environments, debugging complex issues, drafting specifications, and researching new AI technologies to improve security, performance, and business value. Local candidates fit for in-person interviews are preferred.

Competenze

• Bachelor's degree or equivalent technical experience.
• 2+ years SDLC experience designing, developing, and implementing large-scale applications in hosted production environments.
• 3+ years of professional, design, and open-source experience.

Mansioni

• 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.
• 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.

Conoscenze

Transformer architectures

LLM orchestration

Prompt engineering

Vector databases

LLM evaluation

Post-deployment observability

AI governance

Python

Java / enterprise language

OO design

Cloud platforms

CI/CD

RESTful APIs

Agile / SCRUM

Office tools

Formazione

Bachelor's degree in CS/Engineering/IS/Tech

Master's degree (preferred)

Strumenti

Semantic Kernel

LangChain/LangGraph

Microsoft Copilot Studio

OpenAI/Anthropic tool-calling patterns

GitHub Copilot

Descrizione del lavoro

LOOKING FOR LOCAL CANDIDATES WHO ARE COMFORTABLE WITH AN IN-PERSON INTERVIEW.

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.
• 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.
• 2+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments.
• 3+ 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
• 5 years of full Software Development Life Cycle (SDLC) experience.
• Prior experience designing and building agentic systems.
• 1+ yr 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 GCP) 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.).