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Senior Prompt Engineer
Remote (US Timezones)
Summary
A Prompt AI Engineer is responsible for designing and optimizing how AI systems (like ChatGPT or other LLMs) respond, ensuring outputs are accurate, consistent, and aligned with business goals.
They act as the bridge between AI capabilities and real-world use cases, turning business needs into reliable AI-driven solutions.
What they do:
Design and refine prompts to guide AI behavior
Improve response quality, accuracy, and consistency
Build workflows for AI-powered features (chatbots, automation, copilots, etc.)
Test and evaluate AI outputs to reduce errors and hallucinations
Collaborate with product and engineering teams to integrate AI into applications
Continuously optimize performance through experimentation
To ensure high-quality delivery, we assess Prompt AI Engineers across the following areas:
1. Prompt Design Expertise
Ability to structure clear, effective prompts
Experience with advanced techniques (multi-step prompts, examples, constraints)
Capability to handle edge cases and ambiguity
2. Understanding of AI Model Behavior
Awareness of how AI models generate responses
Ability to manage limitations (e.g., hallucinations, inconsistencies)
Experience working with different AI models (OpenAI, Anthropic, etc.)
3. Evaluation & Quality Assurance
Defines success metrics for AI outputs
Builds test cases and validation approaches
Continuously improves performance based on data and results
4. Product & Business Alignment
Translates business requirements into AI solutions
Ensures outputs are aligned with tone, brand, and user expectations
Focus on delivering practical, usable outcomes
5. Technical Capability (when required)
Experience integrating AI via APIs
Familiarity with tools/frameworks (e.g., Python, JavaScript, LangChain)
Ability to structure outputs (e.g., JSON, workflows)
6. Iteration & Experimentation
Uses testing (A/B, prompt variations) to improve results
Applies a data-driven approach to optimization
7. Communication & Clarity
Clearly documents prompts and logic
Explains decisions and trade-offs effectively
Collaborates well across teams
Reduced errors and hallucinations
Technical Stack & Integration: Proven experience with Python and Vector Databases (Pinecone, Weaviate). You must be capable of working with LangChain or LlamaIndex to build Retrieval-Augmented Generation (RAG) systems that connect AI with proprietary data.
Communication & English Proficiency: This position requires C1/C2 English levels. You will participate in technical dailies with stakeholders in the US, explaining complex AI behaviors and suggesting architectural improvements in a clear, professional manner.
Continuous AI Research: Stay at the forefront of the Generative AI revolution. You are expected to research the latest model updates and open-source releases to keep our clients' infrastructure optimized with the most efficient technology available.
Why It Matters
Prompt Engineering is the new frontier of software development. A Senior Prompt Engineer doesn't just 'talk' to AI; they engineer the logic that drives business automation. Hiring this role through Andes Talent ensures you get a professional who has been technically vetted by senior engineers and psychologically screened for high-growth environments.
Are you ready to build the future of AI?
Connect with the technical expertise your roadmap demands. Our recruitment process ensures you receive a curated shortlist of candidates ready to integrate and deliver results from day one.
