Senior AI/ML Software Engineer

Job description

🔹Who we are!

At Levi9, we are passionate about what we do. We love our work and together in a team, we are smarter and stronger. We are looking for skilled team players who make change happen. Are you one of these players?

🔹About the project

You will join a dynamic, cross-functional AI team building AI prototypes, from classic ML to advanced LLM applications such as Text-to-SQL and complex RAG systems. Our goal is to engage our customers with advanced AI solutions.

🔹Responsibilities

- Design and deploy predictive ML models (e.g., decision trees, random forests, gradient boosting) for analytics and feature engineering.

- Develop recommendation systems using collaborative and content-based filtering techniques.

- Build and enhance RAG systems, including embedding pipelines, managing vector databases, and integrating LLMs.

- Implement text-to-SQL capabilities, allowing users to query relational databases naturally using LangChain or similar technologies.

- Work alongside data engineers to ensure robust data pipelines and high-quality datasets for training and inference.

- Collaborate with Product Owners and UX Designers to align AI features with user needs and business goals.

- Continuously research, test, and apply cutting-edge algorithms and technologies to boost model performance and scalability.

- Monitor and improve production models, ensuring reliability, performance, and compliance with ethical standards.

🔹Requirements

- Experience: 4+ years in AI/ML, specifically building and deploying production-level ML models.

- Classic ML: Solid skills with decision trees, random forests, and gradient boosting methods (scikit-learn, XGBoost).

- Recommender Systems: Proven experience in collaborative and content-based recommendation algorithms.

- RAG & LLM Development: Hands-on expertise with retrieval-augmented generation systems, vector databases (Pinecone, Weaviate), and frameworks like LangChain or LlamaIndex.

- Text-to-SQL: Experience developing natural-language-to-SQL solutions using frameworks like LangChain.

- Programming & Data: Advanced Python proficiency, strong SQL skills, and familiarity with Pandas and NumPy.

- Cloud & MLOps: Knowledge of deploying models on AWS, Azure, or GCP, and familiarity with CI/CD and MLOps tools (MLflow, Kubeflow).

- Communication: Comfortable in Agile teams with excellent English communication skills.

🔹Will be a plus

- Experience with Docker and Kubernetes.

- Familiarity with advanced embedding techniques and optimizing similarity searches.

- Background in deep learning frameworks such as TensorFlow or PyTorch.

- Knowledge of ethical AI practices and data privacy standards.

🔹 Our customer's stack

Core — Python 3.13, LangGraph and LangChain for agent orchestration, AWS Bedrock for inference, retrieval, and runtime (AgentCore, Knowledge Bases, Guardrails), Pydantic for schema enforcement, CloudFormation for infrastructure.

Quality — pytest across unit, integration, and e2e tiers with a coverage gate, ruff, mypy and pyright, promptfoo for prompt and output evaluation. We hold agent code to the same bar as any other production system.

🔹9 reasons to join us:

- Today we're working with the technology of tomorrow.

- We don't wait for a change. We are the change.

- We're experts in creating experts (Levi9 academy, Lead9 program for leaders).

- No micromanagement. We are free birds with a clear understanding of what high performance is!

- Learning in Levi9 never stops (unlimited Udemy for business, meetups, English courses, Professional trainings).

- Here you can train your body and mind.

- We've gathered the best locations - comfortable, cozy and pet-friendly offices in Kyiv (5 minutes from Olimpiyska subway station) and Lviv (5 minutes from the Opera Theatre) with regular offline internal events

- We have master's degree in work-life balance.

- We are actively supporting Ukraine with constant donations and volunteering

🔹Simple steps to get this job

Click the APPLY NOW button and leave your contacts!