AI LLM Architect

2 weeks ago

Israel Fetcherr Full time $125,000 - $175,000 per year

Department

AI

Type

Full-time

Level

Location

Israel

About The Position

Fetcherr experts in deep learning, 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.

We are seeking an experienced

LLM (AI) Architect

to lead the design and implementation of a

production-grade, LLM-powered question-answering and graph plotting system

that allows users to interact with complex internal data using natural language.

You will not train foundation models—but instead

orchestrate LLM-powered architectures

(e.g. using OpenAI, Claude, Gemini, etc.), focused on

retrieval-augmented generation (RAG)

,

prompt engineering

, and

context-aware querying

across structured and unstructured internal data sources.

Responsibilities

LLM-Powered System Design

  • Design and build systems that let users

query internal data

using natural language, simulating an

AI analyst

.
- Create robust pipelines that use

LLMs + internal structured/unstructured data

to provide accurate and explainable responses.
- Architect and optimize

RAG systems

Prompt Engineering & Tooling

  • Develop advanced prompt strategies for dynamic querying, chaining, and task delegation.
  • Implement fallback strategies, guardrails, and context control for reliability and consistency.
  • Tune prompts and system behavior to balance

accuracy, latency, and cost

.

Infrastructure & Deployment

  • Work with data engineers and MLOps to

deploy and scale LLM-based services

in production.
- Integrate

vector databases

, embedding pipelines, and caching layers to optimize performance.
- Ensure systems are

monitored, observable, and cost-aware

.

Collaboration & Productization

  • Partner with product managers and analysts to define

use cases

and measure business impact.
- Translate user needs and business logic into scalable LLM-powered applications.
- Educate internal teams on the capabilities and limitations of LLMs in the company context.

About The Position

You'll be a great fit if you have…

  • 5+ years of experience in machine learning, AI engineering, or backend systems.
  • 2+ years working specifically with

LLM architectures or generative AI applications

.
- Hands-on experience with:
- RAG frameworks

(LangChain, LlamaIndex, etc.)
- Embedding models

and pipelines
- LLM APIs (OpenAI, Claude, Gemini, etc.)
- Strong Python skills and familiarity with cloud infrastructure (GCP preferred).
- Proven track record building

reliable, production-grade AI systems

.
- Fluent in

English

(spoken and written) for documentation and cross-team collaboration.

Mindset & Approach

  • Deeply product-oriented with a strong user empathy.
  • Balances experimentation with engineering discipline.
  • Collaborative, hands-on, and outcome-driven.

Nice to Have:

  • Experience in

analytics, BI, or data exploration

interfaces.
- Familiarity with

semantic search, question decomposition

, and tool-augmented LLMs.
- Background in

pricing, forecasting

, or

airline data

domains.

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