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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Machine Learning and AI engineering, with a strong focus on developing and deploying LLM-based applications and Generative AI solutions. Proficient in utilizing Azure AI services and frameworks to deliver innovative document intelligence and conversational AI systems.
Highest-signal resume keywords
Machine Learning EngineeringGenerative AI SolutionsPython ProgrammingAzure AI ServicesRAG Systems Development
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningAI EngineeringPythonLLMsGenerative AIRAG ApplicationsEmbedding ModelsCI/CDMLOpsDocument Intelligence
Soft Skills
Fluent English
Tools & Technologies
Azure OpenAIAzure AI SearchAzure AI FoundryCosmos DBBlob StorageLangChainLlamaIndexSemantic KernelFAISSMLflow
Industry Keywords
Conversational AIVector DatabasesOpenAI GPTAnthropic ClaudeGoogle GeminiHugging Face
Tech Stack
Tools & technologiesAWSAzurePython
About the role
Key responsibilities & impact- Join a delivery team building Generative AI solutions for a global enterprise client
- Take LLM-based use cases from PoC to production
- Build and work on RAG systems
- Develop document intelligence solutions
- Develop conversational AI solutions
- Work mainly on Azure with some AWS workloads
Requirements
What you’ll need- 4+ years in Machine Learning / AI engineering
- At least 2 years of hands-on experience with LLMs and Generative AI
- Proven experience delivering RAG or LLM-based applications beyond PoC stage
- Strong Python skills
- Experience with LangChain or similar frameworks such as LlamaIndex or Semantic Kernel
- Hands-on experience with Azure AI services: Azure OpenAI, Azure AI Search, Azure AI Foundry/AI Studio, Cosmos DB, and Blob Storage
- Experience with vector databases/indexes such as Azure AI Search, FAISS, or similar
- Experience with embedding models
- Experience with multiple LLM families, including OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models such as Llama via Hugging Face
- CI/CD experience with Azure DevOps and/or GitHub Actions
- Familiarity with MLOps tooling such as MLflow
- Fluent English for daily communication with international stakeholders
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing and Results Participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- Health and Well-being team, inclusion specialists, and affinity groups
- Support and accommodations for people with disabilities during the selection process