Senior AI Engineer

HeartCentrix Solutions; United States; On-site; USD 130,000 - 170,000; Full time

Job summary

HeartCentrix Solutions is seeking a Senior AI Engineer to build real-world AI agents for customer-facing applications. You will lead hands-on development and deployment of AI-powered tools and workflows.

You will integrate LangGraph/LangChain with Java/Spring Boot microservices, REST APIs, and event-driven architectures, leveraging LLMs and vector stores to deliver scalable AI applications in production.

Qualifications

• 5+ years of software development experience.
• 2+ years of hands-on Agentic AI development.
• Strong experience with LangGraph and LangChain.
• Experience with prompt engineering, tool calling, RAG, and LLM workflows.
• Good working knowledge of Java and Spring Boot.
• Strong understanding of microservices, distributed systems, REST APIs, and event-driven architecture.
• Experience integrating AI solutions with enterprise applications.
• Hands-on experience building and deploying AI applications in a production environment.

Responsibilities

• Build and deploy AI agents using LangGraph, LangChain, or similar frameworks.
• Create multi-agent workflows, RAG solutions, and AI-powered tools.
• Connect AI agents with Java and Spring Boot microservices.
• Build REST APIs and event-driven integrations.
• Work with LLMs such as OpenAI, Claude, Gemini, or similar platforms.
• Develop prompts, tool/function calling, memory, and agent workflows.
• Work with vector databases such as Pinecone, pgvector, Weaviate, ChromaDB, or FAISS.
• Build scalable, reliable, production-ready AI applications.
• Use Docker, Kubernetes, and Git as part of the development process.
• Help evaluate, monitor, and improve AI agent performance.
• Work with other engineers and teams to bring AI solutions into production.

Skills

LangGraph

LangChain

Java

Spring Boot

Agentic AI development

REST APIs

Event-driven architecture

Microservices

Docker

Kubernetes

Tools

Pinecone

pgvector

Weaviate

ChromaDB

FAISS

Git

Job description

We’re looking for a Senior AI Engineer who has hands‑on experience building real‑world AI agents and wants to work on exciting customer‑facing applications.

What You’ll Do

• Build and deploy AI agents using LangGraph, LangChain, or similar frameworks.
• Create multi-agent workflows, RAG solutions, and AI-powered tools.
• Connect AI agents with Java and Spring Boot microservices.
• Build REST APIs and event-driven integrations.
• Work with LLMs such as OpenAI, Claude, Gemini, or similar platforms.
• Develop prompts, tool/function calling, memory, and agent workflows.
• Work with vector databases such as Pinecone, pgvector, Weaviate, ChromaDB, or FAISS.
• Build scalable, reliable, production-ready AI applications.
• Use Docker, Kubernetes, and Git as part of the development process.
• Help evaluate, monitor, and improve AI agent performance.
• Work with other engineers and teams to bring AI solutions into production.

What We’re Looking For

• 5+ years of software development experience.
• 2+ years of hands‑on Agentic AI development experience.
• Strong experience with LangGraph and LangChain.
• Experience with prompt engineering, tool calling, RAG, and LLM workflows.
• Good working knowledge of Java and Spring Boot.
• Strong understanding of microservices, distributed systems, REST APIs, and event-driven architecture.
• Experience integrating AI solutions with enterprise applications.
• Hands‑on experience building and deploying AI applications in a production environment.

Nice to Have

• Experience with MCP (Model Context Protocol).
• Experience with AI evaluation, tracing, and observability.
• Experience building AI applications at scale.