Design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications.
Provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration.
Develop and deploy agentic AI solutions that can autonomously perform complex business tasks.

Requirements

4-6 years' hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
4-6 years' hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
4-6 years' hands-on experience integrating LLMs with external systems and enterprise applications
Experience working with vector databases, knowledge graphs, and RAG pipeline development
Advising on best practices for AI agent development and enterprise AI integration processes
Experience in deploying AI models and agents in multiple environments (dev, staging, production)
Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Large Language ModelsPythonLangChainLlamaIndexTransformersPyTorchcloud AI servicesagentic AI systemsRAG systemsvector databases

Soft Skills

stakeholder communicationmanaging expectationsadvising on best practicesforeseeing AI-related risks