Software Engineer Agentic AI

Stellent IT LLC

Columbus, OH, United States

27 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Business Software Cloud Computing Databases Continuous Integration DevOps Distributed Systems Monitoring of Systems

+17 more

Python (Programming Language) Performance Tuning Prometheus Software Engineering Systems Integration Enterprise Software Applications Large Language Models Grafana Multi-Agent Systems Prompt Engineering Git Kubernetes Virtual Agents Restful APIs Splunk Docker Microservices

Job description

Client is seeking an experienced Software Engineer Agentic AI to design, develop, and deploy enterprise-grade AI applications powered by autonomous agents and Large Language Models (LLMs). The ideal candidate will have strong software engineering fundamentals with hands-on experience building Agentic AI solutions using modern AI frameworks while developing scalable applications in Python and Java., * Design, develop, and deploy enterprise-grade Agentic AI solutions.

Build intelligent multi-agent workflows using LangGraph.
Develop scalable AI services using Python or Java.
Integrate LLMs with enterprise APIs, databases, and business applications.
Optimize inference performance using vLLM and modern serving frameworks.
Implement RAG pipelines and AI orchestration workflows.
Collaborate with cross-functional engineering and product teams to deliver AI-powered capabilities.
Ensure production readiness through monitoring, testing, security, and performance optimization.
Follow enterprise engineering standards and AI governance practices.

Requirements

This role requires experience in designing intelligent multi-agent systems, integrating enterprise tools, and deploying AI-powered solutions into production environments.

Required Skills (Must Have)

8+ years of software development experience with Python or Java.
Hands-on experience building and deploying Agentic AI applications in enterprise environments.
Strong experience with:
Python
Java
LangGraph
vLLM
Experience designing and orchestrating multi-agent workflows and autonomous AI systems.
Hands-on experience integrating LLMs with enterprise applications using APIs and external tools.
Strong understanding of Retrieval-Augmented Generation (RAG) concepts and retrieval pipelines.
Experience with REST APIs, microservices architecture, and distributed systems.
Strong knowledge of prompt engineering, agent orchestration, and tool calling.
Experience monitoring, troubleshooting, and optimizing AI applications in production.
Understanding of responsible AI, model governance, security, and enterprise AI best practices.
Experience working in Agile development environments.

Preferred Skills

Experience with vector databases such as Pinecone, pgVector, FAISS, or OpenSearch.
Experience with LLM platforms such as OpenAI, Anthropic Claude, or AWS Bedrock.
Knowledge of Kubernetes, Docker, and cloud platforms (AWS preferred).
Experience with CI/CD pipelines, Git, and DevOps practices.
Familiarity with observability and monitoring tools such as Grafana, Splunk, or Prometheus., * 8+ years of software engineering experience.
2+ years of hands-on experience building production-grade Agentic AI or LLM-based applications.
Strong experience with Python, Java, LangGraph, and vLLM.
Experience deploying AI solutions into production environments.
Excellent problem-solving and communication skills.