Fetcherr

Fetcherr helps airlines increase revenue by applying AI to pricing and market forecasting in real time. Their core product, the Generative Pricing Engine (GPE), uses the Large Market Model (LMM) to simulate market dynamics and forecast demand, enabling dynamic pricing and inventory adjustments across the revenue management pipeline. The platform combines generative modeling, demand forecasting, and real-time market simulation to recommend price and inventory actions for carriers. Fetcherr is offered as an enterprise AI solution for airlines and integrates into airline revenue management and distribution workflows. The company targets global carriers and has been deployed with major airlines to drive measurable revenue uplift and operational improvements.

saasfetcherr.io

Fetcherr

saasfetcherr.io

HQNetanya

Team Size208

Open Jobs57

Total Funding$157M

Latest Fundraise6 months ago

Join the Team

Director of R&D LLM

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Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

As Director of R&D , you will serve as a senior technical and organizational leader , helping to scale Fetcherr's data-driven products and engineering capabilities. This is a hybrid role combining technical authority, strategic vision, and operational excellence. You will co-lead the R&D organization , work directly with customers, and be instrumental in shaping cross-functional, product-focused engineering teams.

We’re looking for a leader who’s both visionary and hands-on, able to drive execution, foster innovation, and build high-performance engineering cultures at scale.

As Director of R&D – LLM Systems, you will lead the development of Fetcherr’s new LLM-based product from scratch. This role is a unique blend of technical leadership, product vision, and cross-functional execution.

You’ll manage a multidisciplinary team of AI engineers, backend developers, and data experts to design, prototype, and productionize a conversational analytics system powered by large language models (LLMs). Your team will own everything from RAG (retrieval-augmented generation) pipelines and prompt engineering, to visualization generation and reliability infrastructure.

This is a hands-on leadership role for someone excited to build one of the core AI pillars of Fetcherr’s future.

Responsibilities: Vision & Strategy

Define and lead the roadmap for Fetcherr’s LLM-based virtual analyst system.
Translate high-level business and product goals into technical milestones and deliverables.
Evaluate trade-offs between open-source and commercial LLM platforms (e.g., OpenAI, Claude, Gemini).

Team Leadership

Build and lead a cross-functional R&D team (LLM engineers, software engineers, data engineers, QA).
Establish a rapid experimentation-to-production pipeline for LLM-based features.
Foster a culture of innovation, quality, and ownership.

System Design & Technical Execution

Architect systems that combine LLMs, structured data, vector databases, and visualization libraries.
Oversee development of:
Prompt engineering and chaining
RAG pipelines
Natural language to SQL/query translation
Auto-generated dashboards or visual responses (graphs, tables, charts)
Ensure the system is scalable, cost-efficient, observable, and secure.

Collaboration & Impact

Work closely with stakeholders across Product, Data, Engineering, and Customer teams.
Prototype real use cases, test with users, and drive measurable business value.
Serve as the internal champion for Fetcherr’s LLM capabilities.

Requirements:

You’ll be a great fit if… Leadership & Execution

3+ years in a Director, Head of R&D, or AI Platform Lead role.
Experience building or leading AI/LLM or NLP product teams.
Proven ability to deliver from 0→1 in complex, AI-based systems.

Technical Depth

Strong knowledge of architecture application and Design
Prompt engineering and retrieval-augmented generation (RAG)
Vector databases, embeddings, and context injection
Data-to-text generation and visualization tools
Deep understanding of Python, cloud infrastructure (preferably GCP), and backend systems.
Experience with LLM frameworks (e.g., LangChain, LlamaIndex, Hugging Face) and APIs (OpenAI, Claude, Gemini).

Communication & Product Thinking

Excellent communication skills, in English, both written and verbal.
Strong ability to align technical teams and product stakeholders.
Deep curiosity about how to make complex data accessible through natural language.

Nice to Have:

Familiarity with multi-agent LLM systems or tool-augmented AI workflows.
Background in airline, pricing, or financial domains.