Job Description

AI/ML Prompt Engineer

Location: Remote LATAM

We are seeking highly skilled AI/ML Prompt Engineers to support an enterprise-wide AI engineering initiative focused on accelerating software development, automation, and secure code generation through advanced prompt engineering and LLM-enabled workflows.

This role is ideal for engineers who understand how to leverage AI tools as a core part of the software development lifecycle — not as an enhancement, but as a primary engineering methodology. Candidates must be comfortable operating in a fast-paced environment where prompt-driven development, AI-assisted coding, and iterative optimization are embedded into daily delivery expectations.

The ideal candidate combines strong software engineering fundamentals with hands-on expertise utilizing modern LLM ecosystems such as ChatGPT, Claude, GitHub Copilot, Gemini, and related AI tooling platforms.

Responsibilities

• Design, develop, and optimize advanced prompts for enterprise AI/ML use cases
• Utilize LLMs to accelerate software development, testing, debugging, and documentation generation
• Build AI-assisted workflows for secure application development and defect remediation
• Engineer reusable prompt frameworks and prompt libraries for enterprise engineering teams
• Collaborate with architects and engineering leaders to integrate AI-driven development practices into SDLC workflows
• Use AI tools to generate, review, refactor, and secure code across multiple technology stacks
• Partner with cybersecurity and development teams to identify and remediate vulnerabilities using AI-enabled approaches
• Fine-tune prompts to improve response quality, consistency, accuracy, and efficiency
• Evaluate output quality, hallucination risks, and AI model effectiveness across various use cases
• Contribute to rapid prototyping and “pizza team” style agile delivery initiatives
• Maintain awareness of emerging AI/ML tooling, prompt engineering techniques, and agentic AI frameworks

Required Qualifications

• 3+ years of software engineering, AI/ML engineering, or prompt engineering experience
• Hands-on experience with enterprise AI tools such as:
• ChatGPT
• Claude
• GitHub Copilot
• Gemini
• Cursor
• Microsoft Copilot
• Strong understanding of prompt engineering concepts, chaining strategies, context optimization, and model behavior
• Experience leveraging AI to generate production-ready code
• Proficiency in one or more modern programming languages:
• Python
• Java
• JavaScript / TypeScript
• C#
• Experience working within Agile/Scrum delivery environments
• Familiarity with secure coding practices and vulnerability remediation
• Excellent communication and collaboration skills
• Ability to adapt quickly in a highly evolving AI-driven environment

Preferred Qualifications

• Experience with RAG (Retrieval-Augmented Generation) architectures
• Experience with LangChain, Semantic Kernel, CrewAI, AutoGen, or agentic AI frameworks
• Exposure to cloud AI platforms:
• AWS Bedrock
• Azure OpenAI
• Google Vertex AI
• Experience integrating AI workflows into CI/CD pipelines
• Background supporting enterprise modernization or digital transformation initiatives
• Prior experience within large enterprise environments

What Success Looks Like

• Engineers effectively leverage prompts for a significant percentage of daily development activities
• Reduced software defect resolution timelines through AI-assisted engineering
• Improved development velocity and code quality
• Creation of scalable prompt standards and reusable AI engineering patterns
• Strong collaboration with architecture and security teams to accelerate secure delivery