AWSAzureDockerJavaMongoDBOraclePostgresPythonRedisAILarge Language ModelsOpenAIAnthropicRAGLangChainAutoGenPostgreSQLGitVersion Control
About this role
Role Overview
Design and implement solutions based on large language models (LLMs), multi-agent systems, and intelligent automation, taking into account the security, legal compliance, and scalability requirements of the institutional environment.
Develop interfaces and integration layers between AI solutions and existing institutional systems, including Java applications, relational and non-relational databases, and internal APIs.
Identify automation opportunities in manual and repetitive workflows, proposing and implementing solutions that deliver measurable gains in efficiency and delivery quality.
Keep abreast of state-of-the-art applied AI — including agent frameworks, RAG (Retrieval-Augmented Generation), fine-tuning, and local inference — assessing their feasibility and relevance for institutional adoption.
Produce clean, testable, and well-documented code. Follow security practices in software development (DevSecOps), including access control, protection of sensitive data, and traceability of automated decisions.
Create and maintain architecture documentation, API documentation, integration flow diagrams, and user guides, ensuring knowledge transfer and the long-term sustainability of developed solutions.
Mentor junior and mid-level professionals, participate in code reviews, contribute to defining technical standards, and support high-impact architectural decisions.
Requirements
Proficiency in Python for developing AI applications, automation, and systems integration.
Experience with AI agent orchestration frameworks (CrewAI, LangChain, AutoGen, or similar).
Strong knowledge of large language models (LLMs) and their integration via APIs (OpenAI, Anthropic, open-source models).
Experience with relational databases (PostgreSQL, Oracle) and non-relational databases (MongoDB, Redis).
Proficiency with Git and collaborative version control practices.
Familiarity with containerization (Docker) and cloud environments (AWS or Azure).
Ability to read and write technical English.
Tech Stack
AWS
Azure
Docker
Java
MongoDB
Oracle
Postgres
Python
Redis
Benefits
Health insurance;
Dental plan;
Life insurance: employees receive complimentary life insurance, funeral assistance, and a newborn care package, subject to the insurer's specific terms;
Day off: employees are granted a day off for their birthday, which should be taken on the birthday date and/or during the birthday month;
Partnerships and discounts (educational institutions, gyms, language schools, and others);