We are seeking an experienced Senior AI Developer to join our growing
agentic AI team. This role will focus on developing production-grade agentic AI solutions
including React agents that drive business value across multiple business units. The successful
candidate will architect and implement sophisticated AI agents, RAG systems, and automation
workflows that integrate seamlessly into our enterprise technology stack.
Key Responsibilities:
Design and develop enterprise-scale agentic AI solutions using LangGraph and related
frameworks
Build and optimize RAG systems (chunking, retrieval strategies, evaluation) with an
emphasis on accuracy, latency, and reliability.
Architect multi-step reasoning workflows that integrate with existing enterprise systems
and APIs
Collaborate with cross-functional teams to translate business requirements into scalable
AI solutions
Ensure AI implemen
agentic AI team. This role will focus on developing production-grade agentic AI solutions
including React agents that drive business value across multiple business units. The successful
candidate will architect and implement sophisticated AI agents, RAG systems, and automation
workflows that integrate seamlessly into our enterprise technology stack.
Key Responsibilities:
Design and develop enterprise-scale agentic AI solutions using LangGraph and related
frameworks
Build and optimize RAG systems (chunking, retrieval strategies, evaluation) with an
emphasis on accuracy, latency, and reliability.
Architect multi-step reasoning workflows that integrate with existing enterprise systems
and APIs
Collaborate with cross-functional teams to translate business requirements into scalable
AI solutions
Ensure AI implemen
Requirements:
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or related technical field
3-5 years of software development experience with demonstrated expertise in AI/ML
technologies
Strong proficiency in Python with experience in asynchronous programming patterns
Proven track record of implementing production LLM integrations (OpenAI, Anthropic,
Azure OpenAI, etc.)
Hands-on experience with RAG system development including vector databases,
embedding models, and retrieval optimization
Knowledge of enterprise software architecture patterns and API integration best practices
Understanding of AI governance, security, and ethical AI principles
Strong understanding of prompt engineering techniques and LLM behavior optimization
Preferred Qualifications:
Experience with agent frameworks (LangChain/LangGraph preferred) and multi-step
reasoning implementations
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or related technical field
3-5 years of software development experience with demonstrated expertise in AI/ML
technologies
Strong proficiency in Python with experience in asynchronous programming patterns
Proven track record of implementing production LLM integrations (OpenAI, Anthropic,
Azure OpenAI, etc.)
Hands-on experience with RAG system development including vector databases,
embedding models, and retrieval optimization
Knowledge of enterprise software architecture patterns and API integration best practices
Understanding of AI governance, security, and ethical AI principles
Strong understanding of prompt engineering techniques and LLM behavior optimization
Preferred Qualifications:
Experience with agent frameworks (LangChain/LangGraph preferred) and multi-step
reasoning implementations
This position is open to all candidates.
