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 Jobs23

Total Funding$157M

Latest Fundraise6 months ago

Join the Team

LLM Software Architect

HybridWarsaw Metropolitan Area, PL

Hybrid • Warsaw Metropolitan Area, PL

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Backend Developer

InternshipHaifa

Internship • Haifa

Backend Developer

Part-timeHaifa

Part-time • Haifa

Frontend Developer

Part-timeMunich, DE

Part-time • Munich, DE

Software Engineer

Full-timeLondon, GB

Full-time • London, GB

Backend Developer

Part-timeManchester, GB

Part-time • Manchester, GB

Data Scientist

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

As LLM Architect, you will architect and build Fetcherr’s LLM-based virtual analyst platform from the ground up. This is a highly technical, hands-on role focused on LLM architecture, RAG pipelines, prompt engineering, vector databases, and reliability infrastructure.

You’ll work with product, data, and engineering teams to design a powerful conversational analytics engine built on state-of-the-art LLM technologies.

Responsibilitie

sArchitecture & System Desig

nArchitect end-to-end systems that combine
:LLMs (commercial + open-source
)Vector databases & embedding
sRetrieval-augmented generation (RAG
)Natural-language-to-SQL/query generatio
nVisualization and analytics librarie
sDefine the technical roadmap and system architecture for the LLM platform

.Hands-On Technical Executio

nBuild prototypes, run experiments, evaluate LLM providers (OpenAI, Claude, Gemini)
.Develop and optimize
:Prompt engineering & chainin
gRAG pipeline
sQuery translation engine
sAuto-generated dashboards and visual output
sEnsure scalability, observability, security, and cost efficiency

.LLM Expertise & Innovatio

nLead research and experimentation for model selection, fine-tuning, context injection, and multi-agent tooling
.Evaluate open-source vs. commercial LLMs and architect hybrid solutions
.Define evaluation frameworks for accuracy, hallucinations, latency, and safety

.Organizational LLM productivity evangelist

Lead the organizational adoption of AI tools for improving productivity and qualit

yCross-Functional Technical Leadershi

pWork closely with product managers and customers to shape use cases
.Provide technical mentorship to LLM engineers, backend developers, and data engineers
.Be the internal expert and advocate for LLM technologies across Fetcherr

**.

Requirement**

s:Deep knowledge of LLM system architectur
e:RAG, embeddings, vector sear
chPrompt engineering & prompt chaini
ngData-to-text generation & visualization too
lsPython, backend systems, cloud infrastructure (GCP preferre
d)Experience with LLM frameworks (LangChain, LlamaIndex, Hugging Face
).Experience with APIs like OpenAI, Anthropic Claude, Gemini, et

c.Leadership & Product Thinki

ngExperience delivering complex 0→1 AI system
s.Ability to translate business needs into technical architecture
s.Strong communication skills for explaining LLM decisions and trade-off

s.Nice to Ha

veExperience with BI/analytics or natural language interfaces to dat
a.Knowledge of multi-agent systems or tool-augmented LLM
s.Background in airline, pricing, or financial domain