AI Engineer

Luxoft; Plano (TX); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Luxoft in Plano, TX is seeking an AI Engineer to design, develop, deploy, and operate enterprise AI solutions that enhance experiences and automate processes.

You will build generative AI applications using large language models, create conversational assistants, and integrate AI with enterprise systems, APIs, and cloud services. The role emphasizes governance, security, observability, and production readiness while collaborating with engineers, product managers, and stakeholders.

Formación

• Degree or equivalent in a related technical field.
• Experience with large language models and foundation-model APIs.
• Knowledge of embeddings, vector databases, and semantic search.
• Experience designing REST APIs and distributed cloud applications.
• Familiarity with AI security, governance, and production monitoring.

Responsabilidades

• Build generative AI applications using large language models and multimodal foundation models.
• Develop conversational assistants, copilots, autonomous agents, and intelligent workflow automation.
• Implement retrieval-augmented generation using enterprise content, embeddings, and vector databases.
• Design prompts, context-management strategies, and agent orchestration.
• Integrate AI capabilities with enterprise applications, APIs, databases, and cloud services.
• Create reusable AI services, frameworks, guardrails, and development patterns.
• Evaluate AI responses for accuracy, relevance, reliability, latency, and cost.
• Implement automated testing, observability, version control, deployment pipelines, and production monitoring.
• Apply data protection, access controls, content filtering, audit logging, and AI governance requirements.
• Collaborate with software engineers, architects, cybersecurity teams, product managers, and business stakeholders.
• Document solution architecture, technical decisions, operating procedures, and measurable outcomes.

Conocimientos

Large language models

Foundation-model APIs

Prompt engineering

Agent frameworks

Tool calling

Retrieval systems

Embeddings

Vector databases

Semantic search

Document processing

REST APIs

Event-driven services

Distributed cloud apps

Containers

Kubernetes

Git

Delivery pipelines

Infrastructure automation

AI security

Privacy

Governance

Production monitoring

Cross-functional collaboration

Educación

Degree in CS or related field

Herramientas

Kubernetes

Git

Cloud services

Containers

Automation pipelines

Descripción del empleo

An AI Engineer designs, develops, deploys, and operates enterprise AI solutions that enhance customer experiences, automate business processes, and improve operational efficiency.

Responsibilities:

Key responsibilities

• Build generative-AI applications using large language models and multimodal foundation models.
• Develop conversational assistants, copilots, autonomous agents, and intelligent workflow automation.
• Implement retrieval-augmented generation using enterprise content, embeddings, and vector databases.
• Design prompts, context-management strategies, structured outputs, and agent orchestration.
• Integrate AI capabilities with enterprise applications, APIs, databases, and cloud services.
• Create reusable AI services, frameworks, guardrails, and development patterns.
• Evaluate AI responses for accuracy, relevance, reliability, latency, and cost.
• Implement automated testing, observability, version control, deployment pipelines, and production monitoring.
• Apply data protection, access controls, content filtering, audit logging, and AI governance requirements.
• Optimize AI solutions for scalability, availability, performance, and operational resilience.
• Collaborate with software engineers, architects, cybersecurity teams, product managers, and business stakeholders.
• Document solution architecture, technical decisions, operating procedures, and measurable outcomes.

Mandatory Skills Description:

• Degree or equivalent experience in computer science, software engineering, information systems, or a related technical field.
• Experience with large language models, foundation-model APIs, prompt engineering, agent frameworks, and tool calling.
• Knowledge of retrieval systems, embeddings, vector databases, semantic search, and document processing.
• Experience designing REST APIs, event-driven services, and distributed cloud applications.
• Familiarity with containers, Kubernetes, Git, automated delivery pipelines, and infrastructure automation.
• Understanding of AI security, privacy, governance, evaluation, and production monitoring.
• Strong problem-solving, technical communication, and cross-functional collaboration skills.

Nice-to-Have Skills Description:

• Degree or equivalent experience in computer science, software engineering, information systems, or a related technical field.
• Experience with large language models, foundation-model APIs, prompt engineering, agent frameworks, and tool calling.
• Knowledge of retrieval systems, embeddings, vector databases, semantic search, and document processing.
• Experience designing REST APIs, event-driven services, and distributed cloud applications.
• Familiarity with containers, Kubernetes, Git, automated delivery pipelines, and infrastructure automation.
• Understanding of AI security, privacy, governance, evaluation, and production monitoring.
• Strong problem-solving, technical communication, and cross-functional collaboration skills.