AI/ML Prompt Engineer
Location: Remote LATAM
Overview
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
