[Hiring] AI Agent Engineer @Conch Technologies

Role Description

We are seeking an experienced AI Agent Engineer to design, develop, and deploy production-grade AI agent solutions within a large healthcare enterprise environment. The ideal candidate will possess deep expertise in Agentic AI frameworks, LLM orchestration, RAG architectures, multi-agent systems, and cloud-native AI platforms. This role requires extensive experience building scalable AI applications, integrating enterprise systems, and delivering cloud-based AI solutions using modern architectural patterns and distributed systems.

Key Responsibilities

• Design, develop, and deploy AI agent applications utilizing modern Agentic AI frameworks.
• Build and maintain Retrieval-Augmented Generation (RAG) systems for enterprise knowledge retrieval.
• Develop and orchestrate Large Language Model (LLM) workflows and multi-agent systems.
• Design semantic search solutions using embeddings, vector databases, and knowledge graphs.
• Build scalable APIs, microservices, and distributed AI services.
• Develop cloud-native AI applications on GCP and Azure platforms.
• Collaborate with enterprise architects, business teams, and engineering groups to deliver AI solutions.
• Implement enterprise-grade integrations across multiple systems and platforms.
• Support AI solution deployment, monitoring, optimization, and Day-2 operations.
• Participate in architecture reviews, technical design sessions, and SDLC activities.
• Ensure security, scalability, reliability, and compliance requirements are met.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 10+ years of experience in Software Engineering, Solution Architecture, or Enterprise Architecture.
• 5+ years of experience as a Lead Architect, Senior Architect, or Technical Lead.
• 2+ years of hands-on AI development and deployment experience.
• Proven experience delivering production-grade AI products.
• Strong understanding of Software Development Life Cycle (SDLC).
• Experience working in Agile development environments.
• Excellent communication and leadership skills.

Requirements

• Agentic AI & LLM Technologies
• LangChain
• LangGraph
• Model Context Protocol (MCP)
• Agent Development Kit (ADK)
• LLM orchestration and integration
• Multi-agent systems
• AI workflow orchestration
• Retrieval-Augmented Generation (RAG)
• RAG architecture design
• Semantic search
• Embeddings
• Knowledge graphs
• Context management
• Vector & Graph Databases
• Pinecone
• FAISS
• Weaviate
• Neo4j
• Amazon Neptune
• Cloud Platforms
• Google Cloud Platform (Preferred)
• Vertex AI
• Cloud Run
• Google Kubernetes Engine (GKE)
• Microsoft Azure
• Software Engineering
• Python (Preferred)
• API development
• RESTful services
• Microservices architecture
• Distributed systems
• Architecture & Enterprise Skills
• Cloud-native architecture
• Enterprise integration patterns
• System modernization
• Cloud migration initiatives
• SDLC methodologies
• Agile delivery models

Preferred Qualifications

• Healthcare industry experience.
• Experience with enterprise knowledge management solutions.
• Exposure to Generative AI governance and responsible AI practices.
• Experience deploying AI solutions at enterprise scale.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Experience with MLOps and AI operationalization.

Environment

• Fully Remote opportunity.
• Healthcare enterprise environment.