AI/LLM Engineer
6.0/10
Not specified
Remote
senior
about 3 hours ago
aitechPythonLangChainRAG systemsPostgreSQLpgvectorDocker
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Overview
Join Bell Integrator as an AI/LLM Engineer to design and develop AI agents for the banking sector, leveraging your expertise in Python and LLM technologies. Bell Integrator is focused on creating innovative solutions in the banking sector, specifically developing an AI agent for an existing Python BDD framework in a corporate banking environment.
Responsibilities
- •Design and align the architecture of the AI agent, applications, and integrations.
- •Develop backend components of the AI agent, common libraries, and integration interactions.
- •Implement solutions based on LLM, ReAct, and RAG, including searching and selecting relevant 'steps' from the existing library.
- •Integrate the system with internal services, repositories, knowledge bases, and corporate infrastructure.
- •Formulate requirements for building CI/CD, monitoring, logging, tracing, and quality control for the AI agent.
- •Conduct code reviews, maintain code standards, and participate in team communications.
- •Collaborate with automated testing specialists, QA engineers, and developers to clarify requirements and use cases.
- •Participate in the development of the user interface solution, in the form of an IDE plugin.
Conditions
- •Opportunity to participate in interesting projects.
- •Possibility of professional and career growth within the company.
- •Experience working in a team of professionals.
- •Special rates for employees at sports clubs and language courses, etc.
- •Remote and hybrid work formats.
Requirements
- •3-4 years of experience in development.
- •Higher education.
- •Practical experience in building RAG systems and working with vector storage, preferably PostgreSQL + pgvector.
- •Experience with LangChain and Python.
- •Experience in developing ReAct agents.
- •Understanding of OOP principles, SOLID, and design patterns.
- •Understanding of basic principles of multithreading and asynchronous programming, including GIL and asyncio.
- •Practical knowledge and skills in working with LLM.
- •Experience with application containerization tools, including Docker.
- •Leadership qualities: ability to make decisions and take responsibility.
Skills
PythonLangChainRAG systemsPostgreSQLpgvectorDocker
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