AI Engineer
InnoCore Solutions, Inc.
Dallas, TX, United States
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Distributed Systems
Python (Programming Language)
Software Engineering
TypeScript
Enterprise Software Applications
Large Language Models
Multi-Agent Systems
Prompt Engineering
+7 more
Spring-boot
Event Driven Architecture
AI Platforms
Information Technology
Virtual Agents
Restful APIs
Microservices
Job description
We are looking for a Senior AI Engineer to build production-grade AI agents integrating with enterprise applications supporting multiple customer journeys on our client website. This role focuses on developing AI solutions using Python and JavaScript/TypeScript with modern agent orchestration frameworks such as LangGraph and LangChain., * Design and develop AI agents using LangGraph, LangChain, or similar frameworks.
- Build multi-agent workflows, tool integrations, and RAG solutions.
- Develop AI services and APIs using Python and JavaScript/TypeScript.
- Integrate AI agents with Java Spring Boot micro-services through REST APIs and event-driven architectures.
- Design prompts, tool-calling workflows, memory, and agent orchestration.
- Build reliable, scalable, and production-ready AI applications.
Requirements
- 5+ years of software development experience.
- 2+ years Agentic AI Development experience, hands-on experience building AI agents using LangGraph, LangChain, Semantic Kernel, or similar frameworks, Vector Databases (Pinecone, pgvector, Weaviate, ChromaDB, FAISS, or similar)
- Strong understanding of prompt engineering, tool calling, agent orchestration, and LLM workflows.
- Strong proficiency in Python and JavaScript/TypeScript.
- Good working knowledge of Java and Spring Boot.
- Strong understanding of microservices architecture, distributed systems, REST APIs, and event-driven design.
- Experience integrating AI solutions with enterprise applications.
- MCP (Model Context Protocol) or AI tool integration
Education:
- Bachelor’s degree in Computer Science/Engineering or related field
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