Jobs Odesa, Python

We are looking for an enthusiastic and proactive Intern Python Developer to join our dynamic team!

This is a fantastic opportunity to start your career in software development and gain hands-on experience working with modern technologies in a collaborative and supportive environment. If you complete the internship successfully, you will have the chance to continue your journey with our team for at least 1 year.

For this internship, you need to have:

— Good knowledge of Python programming language;
— Understanding of basic software development concepts such as data structures, algorithms, object-oriented programming, and async programming;
— Knowledge of Django;
— Familiarity with version control systems, preferably Git;
— Familiarity with Linux systems;
— Familiarity with SQL and NoSQL Databases;
— Upper-Intermediate English level.

Would Be a Plus:

— Familiarity with ML, LLM, and RAG;
— Passionate about AI;
— Some experience in pet projects.

Our selection process includes:

— HR interview;
— Tech interview;
— Final interview with the founders of the company.

We offer:

— Internship schedule: Monday to Friday, 10.00–19.00
— Office-based / remote work;
— No time trackers or other bureaucratic measures;
— Practical experience on internal projects;
— Networking with experienced professionals willing to share their knowledge and experience;
— Opportunity to obtain a contract with HYS Enterprise as a Junior specialist.
— Gifts for birthdays and professional holidays;
— Interaction with experienced professionals willing to share their knowledge;
— Participation in internal and external events.

Recruitment stages: HR interview, Tech interview, Final interview, Offer.

Client

Our client is a global asset, investment, and financial product management company operating across the United States and over 40 other countries.

As an AI Software Engineer, you will design, develop, and optimize advanced AI applications leveraging AWS Bedrock services and cutting-edge architectures. Your role will focus on building intelligent systems for extracting insights from financial and unstructured data, developing scalable APIs, and implementing modern approaches such as GraphRAG for knowledge retrieval. You will ensure robust backend performance with FastAPI, maintain comprehensive test coverage, and drive efficiency in production environments by optimizing model performance, cost, and latency.

Responsibilities

• Design and implement AI-driven applications using AWS Bedrock services.
• Develop intelligent solutions for processing financial documents and unstructured data.
• Build high-performance backend services with Python and FastAPI, ensuring strong test coverage.
• Implement GraphRAG architectures to improve reasoning and knowledge retrieval.
• Create scalable API endpoints for model serving and conversational interfaces via Converse API.
• Optimize performance, cost, and latency of deployed models in production.
• Integrate workflows with multi-agent AI systems (e.g., LlamaIndex, LangChain, LangGraph, LangFlow, Strands Agents).
• Develop automated test pipelines with unit, integration, and load testing coverage.
• Implement evaluation frameworks for AI systems, ensuring quality and efficiency.
• Work with knowledge graphs and vector databases (e.g., OpenSearch, Neptune Analytics) for enterprise applications.

Requirements

• 4+ years of experience in AI/ML services and backend development with Python.
• Strong expertise in FastAPI and RESTful API design.
• Hands-on experience with multi-agent AI workflows (LlamaIndex, LangChain, LangGraph, LangFlow, Strands Agents).
• Proficiency in Python testing frameworks (unittest, pytest, testcontainers) and load testing (Locust).
• Experience building and deploying Converse API interfaces.
• Proven knowledge of RAG and GraphRAG architectures.
• Strong proficiency with AWS Bedrock services for model deployment and integration.
• Experience with knowledge graphs and vector databases (OpenSearch, Neptune Analytics).
• Ability to design integration tests with TestContainers for database and service dependencies.
• Practical experience with automation pipelines and coverage metrics.
• Understanding of token optimization and cost management in AI services.

Nice to have

• Experience with FastMCP for high-performance APIs.
• Background in applying AI solutions in financial services or regulated industries.
• Familiarity with hybrid systems combining rule-based approaches and AI models.
• Experience with multi-modal AI models and asynchronous Python patterns.
• Strong skills in API optimization and performance tuning.
• Knowledge of API gateway architectures and microservices.
• Bachelor’s degree in Finance, Economics, Statistics, Computer Science, or related field.