Senior AI Engineer

Dragonfly

Senior AI Engineer writing AI systems that enhance product capabilities for Dragonfly's AI-powered platform. Collaborating with product engineers to optimize recommendations and research pipelines.

Posted 7/27/2026full-timeTallinn • 🇪🇪 EstoniaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI systems, particularly LLM-powered applications, with a strong foundation in Python programming and search and retrieval methodologies. Capable of optimizing performance and improving user interaction through innovative approaches to scoring and personalization.

Highest-signal resume keywords

AI-NativeLLM Systems In ProductionProduction-Quality PythonSearch & Retrieval IntuitionApplied AI Pragmatism

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonLLM SystemsHybrid SearchEmbedding ModelsRankingAPI DesignAsync PatternsStreamingTestingQuery Generation

Tools & Technologies

FastAPIBigQuery

Industry Keywords

Recommendation EnginesConversational AgentsResearch PipelinesScoringFilteringPersonalizationCost OptimizationLatency Optimization

Tech Stack

Tools & technologies

BigQueryPython

About the role

Key responsibilities & impact

You'll be writing the AI systems that power the product — recommendation engines, research pipelines, conversational agents, structured LLM orchestration — and shipping them to production.
Evolve how we rank and score products — the models that decide what gets recommended and why.
Improve retrieval quality — query generation, embedding strategies, hybrid search.
Experiment with new approaches to scoring, filtering, and personalisation.
Optimise for cost and latency — these pipelines run on every user interaction.
Extend the conversational AI — new capabilities, better planning, richer context.
Own the research pipeline end-to-end — improve coverage, accuracy, and throughput.
Own and evolve our search and retrieval infrastructure — embedding models, hybrid search, ranking.

Requirements

What you’ll need

AI-native. This is the most important requirement. AI writes most of our code — Claude Code, not you, will be producing the Python, structured schemas, and pipeline logic.
LLM systems in production. You've built and shipped LLM-powered systems that real users depend on — not just prototypes or demos.
Applied AI pragmatism. You reach for the simplest approach that solves the problem.
Software engineering foundations. You write production-quality Python. You understand async patterns, streaming, API design, and testing.
Search & retrieval intuition. You understand hybrid search, embedding models, ranking, and the trade-offs between precision and recall.
Reach beyond your lane. Most of what you build will be AI systems, but sometimes shipping means writing a FastAPI endpoint, prototyping a UI, or debugging a BigQuery query.

Benefits

Comp & perks

The opportunity to define and shape the AI foundation of a high-potential startup from day one.
Creative freedom and a high-trust environment focused on outcomes over process.
Direct access to founders and an experienced, mission-driven team.
Competitive salary.
Hybrid work options.
An intellectually stimulating environment where speed, curiosity, and product delivery are celebrated.