AI Engineer

3 dni temu

Kraków, małopolskie, Polska Espeo Software Sp. z o.o. Pełny etat 28 zł - 560 zł

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

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