Artificial Intelligence Engineer

Provoke Solutions is hiring an Artificial Intelligence Engineer to design, build, integrate, and deploy secure, scalable AI-powered applications. The role focuses on LLMs, AI agents, intelligent automation, cloud services, and integrating AI capabilities into business workflows and existing systems.

Responsibilities

• Design, build, and maintain AI-powered applications using Python and modern AI technologies
• Integrate large language models from platforms such as Amazon Bedrock, OpenAI, and Anthropic into business applications and engineering workflows
• Develop solutions that combine LLMs, APIs, data sources, and existing enterprise systems to solve practical problems
• Evaluate AI models, tools, and frameworks to determine the best approach for specific use cases
• Develop AI agents and multi-step workflows that can reason, retrieve information, use approved tools, and execute defined tasks
• Integrate agent capabilities with APIs, enterprise data sources, and internal applications
• Build reusable components that support workflow automation and agent-based applications
• Test and refine agent behavior to improve accuracy, reliability, and consistency
• Develop and deploy AI services using AWS and cloud-native technologies
• Build serverless applications and event-driven services using AWS Lambda, API Gateway, SQS, and related services
• Work with Amazon Bedrock capabilities, including Agents, Knowledge Bases, and Guardrails, where appropriate
• Integrate AI applications into existing software systems, APIs, and CI/CD workflows
• Implement retrieval-augmented generation (RAG) solutions that allow AI applications to work with relevant enterprise information
• Integrate document repositories, databases, APIs, and other data sources into AI-powered workflows
• Apply effective context management, retrieval strategies, and prompt design to improve the quality of model responses
• Evaluate outputs for relevance, accuracy, and consistency
• Implement appropriate safeguards to reduce hallucinations, prompt injection risks, and unintended exposure of sensitive information
• Apply secure coding practices, access controls, input validation, and appropriate secrets management
• Develop automated tests and evaluation methods to assess AI application performance
• Troubleshoot issues across application logic, model interactions, integrations, and cloud infrastructure
• Implement logging, metrics, and monitoring to understand application behavior and identify issues
• Evaluate model performance, response quality, latency, and token consumption
• Identify opportunities to improve efficiency, manage inference costs, and optimize application performance
• Document technical implementations and contribute to continuous improvement across the AI engineering team

Preferred

• 2–5 years of professional software engineering or relevant AI application development experience
• Strong Python programming skills and experience developing maintainable, production-quality applications
• Hands-on experience integrating LLM APIs, such as Amazon Bedrock, OpenAI, Anthropic, or comparable platforms
• Understanding of generative AI concepts, including prompt engineering, model selection, context management, and output evaluation
• Experience building API integrations and connecting applications to external services or enterprise systems
• Familiarity with cloud platforms, preferably AWS, including services such as Lambda, API Gateway, IAM, and CloudWatch
• Understanding of AI application security, including sensitive-data protection, access controls, and common LLM vulnerabilities
• Experience testing, debugging, and monitoring software applications
• Familiarity with Git, version control, and collaborative software development practices
• Ability to translate technical requirements into functional solutions and work effectively within a cross-functional engineering team
• 2–5 years of professional software engineering or relevant AI application development experience.
• AI Application Development
• Python
• Production-Quality Application Development
• LLM API Integration
• Amazon Bedrock
• OpenAI
• Anthropic
• Generative AI
• Prompt Engineering
• Model Selection
• Context Management
• Output Evaluation
• API Integration
• External Service Integration
• Enterprise Systems Integration
• Cloud Platforms
• AWS
• AWS Lambda
• API Gateway
• AWS IAM
• Amazon CloudWatch
• AI Application Security
• Sensitive Data Protection
• Access Controls
• LLM Vulnerability Awareness
• Software Testing
• Debugging
• Application Monitoring
• Git
• Version Control
• Collaborative Software Development
• Requirements Translation
• Cross-Functional Collaboration
• Teamwork

Benefits

• Remote (United States)

Company

• End-to-end technology services and AI-driven software development
• The Colony, Texas, USA
• http://www.provokesolutions.com/
• Founded in 2001
• 51-200 employees

Qualifications

• Bachelor's degree in Business, Computer Science, Engineering, or a related field, or equivalent practical experience
• AWS Certified Generative AI Developer – Professional (AIP-C01) or AWS Certified Machine Learning Engineer – Associate (MLA-C02)
• Typically 2+ years of experience in business process analysis, process improvement, business transformation, intelligent automation, or a related discipline
• Hands-on experience designing and implementing agentic AI workflows or intelligent automation solutions in an enterprise environment
• Demonstrated ability to evaluate complex business processes and independently determine appropriate solutions, tools, and implementation approaches
• Experience developing business cases that quantify process improvements, operational efficiencies, cost savings, or other measurable business outcomes
• Proficiency with AI tools, agentic platforms, and automation technologies, with the ability to evaluate emerging capabilities and adapt implementation strategies
• Strong analytical and problem-solving skills, including the ability to identify dependencies, anticipate risks, and evaluate multiple solution options
• Proven ability to collaborate with technical and non-technical stakeholders across multiple business functions
• Experience developing new processes, procedures, or frameworks in environments where established practices or precedents may not exist
• Strong communication skills, including the ability to translate complex technical concepts into clear business recommendations
• Candidates must be authorized to work in the U.S. without VISA sponsorship
• 2–5 years of professional software engineering or relevant AI application development experience
• Strong Python programming skills and experience developing maintainable, production-quality applications
• Hands-on experience integrating LLM APIs, such as Amazon Bedrock, OpenAI, Anthropic, or comparable platforms
• Understanding of generative AI concepts, including prompt engineering, model selection, context management, and output evaluation
• Experience building API integrations and connecting applications to external services or enterprise systems
• Familiarity with cloud platforms, preferably AWS, including services such as Lambda, API Gateway, IAM, and CloudWatch
• Understanding of AI application security, including sensitive-data protection, access controls, and common LLM vulnerabilities
• Experience testing, debugging, and monitoring software applications
• Familiarity with Git, version control, and collaborative software development practices
• Ability to translate technical requirements into functional solutions and work effectively within a cross-functional engineering team
• Typically 2+ years of experience in business process analysis, process improvement, business transformation, intelligent automation, or a related discipline.

Required skills

• AWS Certified Generative AI Developer – Professional (AIP-C01), AWS Certified Machine Learning Engineer – Associate (MLA-C02), Agentic AI Workflows, Amazon Bedrock, Anthropic API, Business Case Development, Business Process Analysis, Intelligent Automation, OpenAI API, Process Improvement, Prompt Engineering, Python

Experience

• 2+ years