Senior AI Engineer / AI Solution Architect

Overview

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.

Job Description

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:
   LangChain4j
   PydanticAI
   Retrieval-Augmented Generation (RAG)
   Agentic AI / Multi-Agent Systems
   Model Context Protocol (MCP)
   Agent-to-Agent (A2A)
   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

Skills & Requirements

Python, Java 25, Generative AI, Prompt Engineering, LangChain4j, PydanticAI, Retrieval-Augmented Generation (RAG), Agentic AI, Multi-Agent Systems, Model Context Protocol (MCP), Agent-To-Agent (A2A), AWS Cloud, REST APIs, Microservices, Docker, Kubernetes, AI Architecture, AI Governance, AI Security, AI Observability, CI/CD, Cloud-Native Architecture, Enterprise AI Solutions, Anthropic Claude

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