Senior AI Engineer / AI Solution Architect

YOUR ROLE

We are looking for an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions. The ideal candidate has extensive experience with LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), cloud-native architectures, and modern AI development frameworks.

Key Responsibilities

• Design and develop enterprise GenAI and Agentic AI solutions.
• Build AI applications using Python and Java 25.
• Implement RAG, AI agents, and multi-agent architectures.
• Develop AI services using LangChain4j, PydanticAI, MCP, and A2A.
• Design and deploy cloud-native AI solutions on AWS.
• Integrate AI into enterprise applications and CI/CD pipelines.
• Define AI architecture, coding standards, and best practices.
• Mentor development teams and support technical solution design.

YOUR PROFILE

Required Skills

• 5+ years of software engineering experience
• Strong expertise in Python and Java 25
• Advanced knowledge of Generative AI and Prompt Engineering
• Hands-on experience with:
  o LangChain4j
  o PydanticAI
  o Retrieval-Augmented Generation (RAG)
  o Agentic AI / Multi-Agent Systems
  o Model Context Protocol (MCP)
  o Agent-to-Agent (A2A)
  o AWS Cloud
• Experience with REST APIs, microservices, Docker, and Kubernetes
• Excellent communication and problem-solving skills

Preferred Qualifications

• Anthropic Claude Certification
• Experience with enterprise AI solutions and cloud architectures
• Knowledge of AI governance, security, and observability

• 5+ years of software engineering experience
• Strong expertise in Python and Java 25
• Advanced knowledge of Generative AI and Prompt Engineering
• Hands-on experience with LangChain4j
• Hands-on experience with PydanticAI
• Hands-on experience with Retrieval-Augmented Generation (RAG)
• Hands-on experience with Agentic AI / Multi-Agent Systems
• Hands-on experience with Model Context Protocol (MCP)
• Hands-on experience with Agent-to-Agent (A2A)
• Hands-on experience with AWS Cloud
• Experience with REST APIs, microservices, Docker, and Kubernetes
• Excellent communication and problem-solving skills
• Anthropic Claude Certification
• Experience with enterprise AI solutions and cloud architectures
• Knowledge of AI governance, security, and observability