AI Engineer

AI Engineer

SKILLS: AI | LLM | MLOps

B2B: PLN 170 - 200 / Hour 💰

LOCATION: POZNAŃ (Hybrid, 3 days per month in the Poznań office, travel reimbursement if needed)

DURATION: LONG TERM

Key Duties and Requirements: A Roadmap to Your Professional Success 🚀

Scope of responsibilities:

• Build, train, fine-tune, and deploy AI and machine-learning models, including LLMs, for corporate and enterprise clients.

• Architect and integrate AI systems into existing backend environments

• Create pipelines for data preprocessing, feature engineering, model evaluation, and versioning.

• Implement and manage vector databases (Pinecone, Weaviate, Qdrant, Milvus) for RAG and knowledge systems.

• Evaluate model performance and continuously enhance accuracy, robustness, and latency.

• Collaborate with cross-functional teams to translate business requirements into working AI solutions.

• Develop internal AI tools, automation systems, and reusable frameworks for client projects.

• Ensure high standards of code quality, documentation, and scalability.

• Stay up to date with AI research, LLM capabilities, and MLOps best practices to drive innovation.

• Mentor team members and support building strong internal AI expertise.

Here’s a set of skills we require:

• 5+ years of experience working with AI/ML systems in production.

• Strong programming skills

• Proven experience with vector databases (Pinecone, Weaviate, Qdrant, Milvus).

• Hands-on experience in setting up, training, and fine-tuning AI/LLM models (OpenAI, Azure AI, Anthropic, local models).

• Experience building RAG systems, embeddings pipelines, and model orchestration.

• Familiarity with MLOps tools (Docker, CI/CD, model deployment, cloud services).

• Strong understanding of data structures, APIs, distributed systems, and microservices.

• Experience working in a startup-like environment (high ownership, fast-paced, autonomous).

• Excellent problem-solving and analytical abilities.

• Curiosity, eagerness to experiment, and a proactive approach to learning.

• Strong communication and cross-team collaboration skills.

Nice to have:

• Experience with on-premise AI deployments for corporate security needs.

• Knowledge of prompt engineering techniques and evaluation frameworks.

• Experience integrating AI into enterprise systems (SAP, Salesforce, ServiceNow).

• Contributions to open-source AI projects or research