
LLM Engineer (AI)
Gotfriends · Tel Aviv District, Israel
- On site
- Full-time
- ₪200,000 / year
- Tel Aviv District, Israel
Job highlights
- Develop and implement AI/ML systems end-to-end.
- Focus on LLMs, Autonomous Agents, and RAG.
- Extract information from unstructured data sources.
- Utilize VectorDBs and LLM orchestration frameworks.
- Deploy AI models to production environments.
About the role
LLM Engineer (AI)
Gotfriends, an established Israeli Fintech startup, is seeking a talented LLM Engineer to join our newly formed AI team. We are developing an AI and Big Data platform that maps the financial internet to assist governments and tax authorities in uncovering money laundering and tax evasion. Having secured significant funding (Round B) and employing dozens of people globally, we offer a dynamic and impactful work environment. This role is based in Tel Aviv (Train-line) with a hybrid work model, requiring one day remote.
About the Role
As an LLM Engineer, you will be instrumental in developing and implementing AI/ML systems in production end-to-end. Your primary focus will be on Large Language Models (LLMs), Autonomous Agents, and Retrieval-Augmented Generation (RAG) architectures. You will build pipelines for Information Extraction, Reasoning, and Classification on unstructured data from sources like Social Media and various Documents. A key part of your role will involve utilizing VectorDBs and LLM Orchestration Frameworks to identify financial fraud and crypto-asset patterns, as well as integrating with external APIs and knowledge sources to bridge the gap between digital footprints and enforcement efforts.
Requirements
- 5 years of experience in software development
- 5 years of experience in Python development
- 2 years of experience working with LLMs (e.g., LangChain, LlamaIndex, OpenAI, Gemini)
- 2 years of experience in Natural Language Processing (NLP)
- Experience with RAG, Autonomous Agents, and Information Extraction
- Proven track record of deploying AI models to Production environments
Key skills/competency
- LLM Engineer
- AI
- Machine Learning
- Python
- NLP
- RAG
- Autonomous Agents
- Information Extraction
- VectorDBs
- Production Deployment
Skills & topics
- LLM Engineer
- AI Engineer
- Machine Learning Engineer
- Python Developer
- NLP Specialist
- Fintech
- Artificial Intelligence
- Large Language Models
- RAG
- Autonomous Agents
How to get hired
- Tailor your resume: Highlight your 5 years of Python and software development experience, specifically mentioning your 2+ years with LLMs and NLP.
- Showcase production experience: Emphasize your proven track record of deploying AI models in production environments, detailing your work with RAG and Autonomous Agents.
- Prepare for technical interviews: Be ready to discuss your experience with LLM frameworks like LangChain or LlamaIndex and explain your approach to information extraction and classification.
- Research Gotfriends: Understand their mission in combating financial crime using AI and how your skills can contribute to their unique platform.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific LLM frameworks does Gotfriends use for their LLM Engineer role?
- Gotfriends utilizes popular LLM frameworks such as LangChain, LlamaIndex, and works with models like OpenAI and Gemini. Your experience with these or similar technologies is highly valued for this LLM Engineer position.
- How does Gotfriends leverage AI for financial fraud detection?
- Gotfriends uses an AI and Big Data platform to map the financial internet. The LLM Engineer will build pipelines for information extraction, reasoning, and classification on unstructured data to identify financial fraud and crypto-asset patterns, integrating with external APIs and knowledge sources.
- What is the expected experience level for the LLM Engineer position at Gotfriends?
- We are looking for an LLM Engineer with 5 years of overall software development experience, 5 years in Python, and at least 2 years specifically working with LLMs and NLP. Proven experience deploying AI models to production is also crucial.
- What is the work arrangement for the LLM Engineer role in Tel Aviv?
- The LLM Engineer role in Tel Aviv follows a hybrid model. While the office is located on the train line, employees are expected to work one day remotely per week.
- What kind of unstructured data will an LLM Engineer work with at Gotfriends?
- As an LLM Engineer at Gotfriends, you will build pipelines for processing unstructured data including Social Media posts and various Documents to extract information, identify patterns, and classify data relevant to financial fraud detection.
- Does Gotfriends offer opportunities for growth in AI and Machine Learning?
- Yes, Gotfriends is establishing a new AI team, offering a significant opportunity for an LLM Engineer to shape the future of their AI/ML systems and contribute directly to their innovative platform for combating financial crime.