Your ResponsibilitiesDesign and implement advanced agentic AI workflows using frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex
Build and deploy multi-agent systems capable of orchestrating complex business and data processes
Develop scalable applications and services in Python
Design and optimize RAG architectures and vector database solutions
Deploy AI solutions in AWS cloud environments
Implement CI/CD pipelines and containerized applications using Docker and Kubernetes
Ensure AI systems are reliable, traceable, reproducible, and production-ready
Collaborate with international stakeholders and multidisciplinary teams
Required Skills & Experience✔ Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Engineering, or a related field✔ 8+ years of experience delivering AI/ML solutions✔ Strong software engineering and data engineering background✔ Advanced Python development skills✔ Strong communication skills and fluent English✔ Hands-on experience with:LangGraph, CrewAI, AutoGen, LlamaIndex, or similar frameworks
RAG (Retrieval-Augmented Generation)
Vector databases such as Pinecone, Chroma, Weaviate, or similar
AWS cloud services
Docker and Kubernetes
Git and CI/CD pipelines
Nice to HaveExperience in regulated industries such as Healthcare, Pharma, FinTech, or Aerospace
MLOps and DevOps expertise
Experience with enterprise-scale AI platforms
Knowledge of model validation, explainability, and reproducibility
Contributions to open-source AI projects or a GitHub portfolio
What We OfferOpportunity to shape innovative GenAI and Agentic AI solutions
Challenging technical environment with modern AI technologies
Collaboration with highly skilled international teams
Long-term, high-impact project within a leading global organization
Responsibilities
Your ResponsibilitiesDesign and implement advanced agentic AI workflows using frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex
Build and deploy multi-agent systems capable of orchestrating complex business and data processes
Develop scalable applications and services in Python
Design and optimize RAG architectures and vector database solutions
Deploy AI solutions in AWS cloud environments
Implement CI/CD pipelines and containerized applications using Docker and Kubernetes
Ensure AI systems are reliable, traceable, reproducible, and production-ready
Collaborate with international stakeholders and multidisciplinary teams
Required Skills & Experience✔ Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Engineering, or a related field✔ 8+ years of experience delivering AI/ML solutions✔ Strong software engineering and data engineering background✔ Advanced Python development skills✔ Strong communication skills and fluent English✔ Hands-on experience with:LangGraph, CrewAI, AutoGen, LlamaIndex, or similar frameworks
RAG (Retrieval-Augmented Generation)
Vector databases such as Pinecone, Chroma, Weaviate, or similar
AWS cloud services
Docker and Kubernetes
Git and CI/CD pipelines
Nice to HaveExperience in regulated industries such as Healthcare, Pharma, FinTech, or Aerospace
MLOps and DevOps expertise
Experience with enterprise-scale AI platforms
Knowledge of model validation, explainability, and reproducibility
Contributions to open-source AI projects or a GitHub portfolio
What We OfferOpportunity to shape innovative GenAI and Agentic AI solutions
Challenging technical environment with modern AI technologies
Collaboration with highly skilled international teams
Long-term, high-impact project within a leading global organization
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