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Senior Artificial Intelligence Analyst
Grupo FácilCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in integrating AI technologies, including Large Language Models and Generative AI, while applying software engineering and MLOps best practices to develop scalable solutions. Proficient in navigating various technologies and communicating complex concepts effectively to stakeholders.
Highest-signal resume keywords
Large Language Models (LLMs)Generative AIPython ProgrammingMLOps PracticesAPI Integration
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Research, evaluate, and integrate cutting-edge AI APIs and tools, including LLMs, Generative AI, and computer vision
- Explore and apply prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuning
- Develop functional prototypes to validate hypotheses using external tools or custom components
- Lead the technical analysis of AI solutions from partners and vendors
- Transform prototypes into robust, scalable, and secure solutions when the decision is to build in-house
- Apply software engineering and MLOps best practices
- Partner with the Cell Lead during discovery cycles, assessing technical feasibility
- Develop and maintain systems and APIs
- Integrate systems with partners and support continuous improvements to applications for the healthcare sector
Requirements
What you’ll need- Experience as a Software Engineer or in a similar role, with a focus on the practical application of AI
- Experience applying Large Language Models (LLMs) and Generative AI to solve business problems
- Proficiency in Python and familiarity with the modern AI ecosystem, including LangChain, LlamaIndex, Hugging Face, and OpenAI, Google, and Anthropic APIs
- Hands-on experience integrating systems via APIs (REST, GraphQL)
- Ability to navigate different technologies and platforms independently, learn quickly, and choose the right tool for the job
- Experience with COGFY, n8n, and similar tools
- Experience deploying traditional ML models in production environments
- Knowledge of automation platforms (RPA) or AI Low-Code/No-Code platforms
- Familiarity with MLOps practices (MLflow, Kubeflow, etc.)
- Ability to communicate complex technical concepts to business stakeholders
- Bachelor's degree or technology degree
Benefits
Comp & perks- Medical and dental insurance
- Meal allowance on an iFood Multibenefícios card
- Profit Sharing and Results (PLR), based on achievement of the company's annual targets
- Partnership with Wellz, a platform focused on mental health and well-being
- Partnership with Wellhub, providing access to gyms and wellness activities
- Life insurance
- Childcare assistance
- Partnerships and discounts with educational and language institutions
- Corporate University, with professional development learning paths
- Access to the Alura platform, subject to availability
- Pharmacy benefit (Belo Horizonte and metropolitan area)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringModel Fine-TuningPrompt EngineeringFunctional PrototypingTechnical Analysis
Soft Skills
CommunicationProblem-Solving
Tools & Technologies
LangChainLlamaIndexHugging FaceOpenAI APIGoogle APIAnthropic APICOGFYN8nMLflowKubeflow
Certifications & Qualifications
Bachelor's DegreeTechnology Degree
Industry Keywords
Healthcare SectorAI EcosystemAutomation PlatformsRPAAI Low-Code/No-Code