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AI Engineer
Satori Analytics. Design and develop AI workflows and/or models in Python, focusing on LLMs.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI workflows and models using Python, with a strong focus on LLMs and machine learning algorithms. Capable of translating business needs into practical AI/ML solutions while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Python ProgrammingAI EngineeringMachine Learning EngineeringExperience with LLMsFamiliarity with AWS
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI WorkflowsMachine Learning AlgorithmsModel DevelopmentModel DeploymentAPIsVersion ControlPrompt EngineeringEmbedding TechnologiesScikit-LearnTensorFlow
Soft Skills
Problem-SolvingAnalytical SkillsCommunication SkillsWillingness to Learn
Tools & Technologies
PyTorchAWSAzureGoogle CloudHuggingFaceLangChainFAISSPinecone
Certifications & Qualifications
BSc or MSc Degree in Computer ScienceSoftware EngineeringData Science
Industry Keywords
AIMLSoftware EngineeringData ScienceVector Databases
Tech Stack
Tools & technologiesAWSAzureCloudPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Design and develop AI workflows and/or models in Python, focusing on LLMs.
- Build scalable solutions bridging AI/ML and software engineering.
- Collaborate with data scientists, developers, and domain experts.
- Research new trends and integrate cutting-edge techniques.
- Translate business needs into practical ML/AI solutions.
- Communicate results clearly.
- Document work to ensure reproducibility and team understanding.
Requirements
What you’ll need- BSc or MSc degree in Computer Science, Software Engineering, Data Science, or a relevant field.
- 2+ years of experience in AI engineering, machine learning engineering, software engineering, or a related role.
- Strong programming skills in Python.
- Experience with PyTorch, TensorFlow, or scikit-learn.
- Experience with LLMs, RAG, prompt engineering, or AI agents.
- Familiarity with vector databases and embedding technologies.
- Understanding of machine learning algorithms, model development, and deployment.
- Experience with APIs, software development practices, and version control.
- Familiarity with AWS, Azure, or Google Cloud.
- Strong problem-solving and analytical skills.
- Good communication skills and willingness to learn.
- Bonus: Experience with HuggingFace, LangChain, FAISS, Pinecone, or mainstream AI models from OpenAI, Google, and/or Anthropic.
Benefits
Comp & perks- Competitive salary – A rewarding package that reflects your skills and experience.
- Flexible working – Flexible hybrid model in the modern Athens office or remote from anywhere in the European Economic Area (EU, Switzerland, etc.) or UK, up to 6 weeks per year.
- Private insurance.
- Training budget for certifications and courses from Microsoft, AWS, Salesforce, Databricks, and other tech partners.
- Career growth opportunities.
- Collaborative team and supportive culture.
- Social events, celebrations, and exclusive employee benefits.
- Modern tools and technology.