AI Engineer

Role overview

Responsibilities

• check_circle Advanced Prompt Engineering: Designing complex, dynamic prompt templates with conditional logic and efficiently reusing information and context within prompts to maximize generation quality and reasoning.
• check_circle Structured Outputs & Schemas: Implementing various response schemes (JSON mode, function calling, Zod/JSON schemas) to ensure AI outputs are predictable and ready for seamless integration into application logic.
• check_circle Prompt Engineering & Evaluations: Building robust evaluation pipelines and using Langfuse to collect feedback and score the quality of responses in real time.
• check_circle Tracing & Debugging: Performing deep debugging of complex LLM chains using Langfuse traces to identify bottlenecks and optimize for cost, latency, and context window usage.
• check_circle AI A/B Testing: Running systematic experiments across different models via OpenRouter (e.g., comparing Claude 3.5 Sonnet vs. GPT-4o) and analyzing results based on quantitative metrics.
• check_circle Data-Driven Decisions: Making deployment decisions for new prompts or models strictly based on quantitative benchmarks and trace data, rather than intuition.
• check_circle Output Scoring & Analysis: Developing scoring systems to analyze the “Problem Solution” chain and identify root causes of hallucinations or logic errors using Langfuse analytics.
• check_circle Model Performance & Fine-Tuning: Regularly re-evaluating model performance as new architectures emerge and performing fine-tuning when necessary to meet specific domain requirements.
• check_circle Node.js & Next.js: Deep knowledge of the stack to build reliable services and handle complex LLM-generated data.
• check_circle Dynamic Prompting Skills: Proven experience in building prompts where content is highly dependent on input variables and context injection.
• check_circle OpenRouter Experience: Experience working with unified APIs, managing rate limits, and selecting the most cost-effective models for specific tasks.
• check_circle Langfuse (or similar): Understanding of LLM observability principles — setting up tracing, creating test datasets, and integrating scoring systems.
• check_circle Evaluation Methodology: Experience with frameworks like RAGAS or building custom “LLM-as-a-judge” systems.
• check_circle Analytical Mindset: Ability to transform raw generation logs into actionable business metrics and technical insights.
• check_circle Iterative Mindset: Focus on continuous product improvement through constant feedback loops.
• check_circle Fluency in Russian and/or Ukrainian.

Preferred qualifications

• Fine-Tuning: Practical experience in fine-tuning models for specific domain tasks or JSON compliance.
• RAG Architecture: Understanding how to build and optimize Retrieval-Augmented Generation systems, including indexing, retrieval, and re-ranking.
• Python: Basic knowledge for working with data science scripts or AI evaluation libraries.

Benefits

• check_circle Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
• check_circle Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
• check_circle Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
• check_circle Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
• check_circle Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
• check_circle Recruiter Screening (40 minutes)
• check_circle Technical Interview (60 minutes)
• check_circle Final Interview (30 minutes)

About the company