Senior Agentic AI Engineer – Java / Python

Senior Agentic AI Engineer – Java / Python

Job Title: Senior Agentic AI / Java / Python Engineer

Position Type: Contract

Contract Duration: 6+ Months with Potential Extension

Employment Type: W2

Pay Rate: $70–$75/hr W2 – Maximum

Work Model: 5 Days Onsite

Work Locations: Columbus and Plano (Locals Preferred)

Position Overview

We are seeking a highly experienced Agentic AI / Java / Python Engineer with strong hands-on experience developing and supporting production-grade applications and enterprise-level Agentic AI solutions.

The ideal candidate must have:

• 10+ years of overall professional experience.
• 3–5 years of hands-on Agentic AI experience – mandatory.
• Strong proficiency in Python and/or Java.
• Hands-on experience with LangGraph and vLLM.
• Experience building, deploying, maintaining, and supporting Agentic AI solutions in enterprise environments.

Required Skills / Must Have

• 10+ years of overall experience is required.
• 3–5 years of Agentic AI experience is mandatory.
• Strong proficiency in Python and Java, with hands-on experience developing and supporting production-grade applications.
• Candidates with either Java or Python experience can be considered, provided they have the required Agentic AI experience.
• Demonstrated experience building, deploying, and maintaining Agentic AI solutions in enterprise environments.
• Hands-on experience with:
  • Python
  • Java
  • LangGraph
  • vLLM
• Experience designing and orchestrating:
  • Multi-agent workflows
  • Tool integrations
  • Autonomous decision-making frameworks
• Ability to develop, test, and optimize AI-driven applications leveraging:
  • Large Language Models (LLMs)
  • Agent frameworks
  • Retrieval capabilities
• Strong understanding of:
  • API development
  • Microservices architectures
  • Integration patterns within modern software ecosystems
• Experience troubleshooting, monitoring, and supporting AI-enabled applications in production environments.
• Familiarity with:
  • Responsible AI practices
  • Model governance
  • Security considerations
  • Enterprise development standards

Core Technical Skill Set

Development & AI

Candidates should have experience with:

• Python and/or Java
• Agentic AI systems
• AI concepts and technologies
• Large Language Models
• Agent frameworks
• LangGraph
• vLLM
• MCP – Model Context Protocol
• Multi-agent workflows
• Autonomous decision-making frameworks
• Retrieval capabilities

Backend Engineering

• Bot/server-side systems
• API development
• Microservices architectures
• Integration patterns
• Containerization
• Kubernetes
• AWS – preferred

Data & Streaming

• Kafka
• Cassandra
• NoSQL databases
• Real-time streaming architectures

DevOps & Operations

• CI/CD pipeline development and management
• Testing strategies
• Monitoring and alerting
• Production deployment
• Production stability

Production Support

Strong focus on

• Production stability
• Troubleshooting
• Monitoring
• Incident resolution
• Application performance
• Production support

Monitoring Tools

Experience with monitoring tools such as:

• Splunk
• Dynatrace

AI Expectations

• Candidates should be proficient in AI concepts and technologies.
• Strong practical Agentic AI expertise is required.
• Candidates must have experience building, deploying, and maintaining Agentic AI solutions in enterprise environments.
• AI expertise is important for this role, although it may not be heavily emphasized during interviews.
• Candidates should be capable of working with modern AI architectures and enterprise AI development standards.

Key Responsibilities

• Develop and support production-grade applications using Python and/or Java.
• Build, deploy, and maintain enterprise Agentic AI solutions.
• Design and orchestrate multi-agent workflows.
• Develop autonomous decision-making frameworks.
• Integrate AI agents with enterprise tools and systems.
• Develop tool integrations and AI-enabled services.
• Build applications leveraging:
  • LLMs
  • Agent frameworks
  • Retrieval capabilities
• Work with LangGraph and vLLM.
• Develop and maintain APIs and microservices.
• Work with Kubernetes and cloud environments.
• Support AWS-based solutions where applicable.
• Work with Kafka, Cassandra, NoSQL databases, and real-time streaming architectures.
• Develop and manage CI/CD pipelines.
• Implement testing strategies.
• Monitor and troubleshoot AI-enabled applications in production.
• Ensure production stability and operational reliability.
• Work with monitoring and alerting tools such as Splunk and Dynatrace.
• Follow responsible AI, security, governance, and enterprise development standards.
• Support modern AI integration patterns, including MCP.
• Design scalable, secure, and reliable AI-enabled applications.

IOI Requirement

IOI is required for all candidates.

Before submission, candidates must:

• Be informed about the IOI requirement.
• Confirm they are comfortable proceeding with the IOI process.
• Be willing to complete the IOI process.

Candidate Commitment Requirement

Candidates must be fully committed to the interview and hiring process.

Before submission, candidates must confirm they are comfortable with:

• Columbus/Plano location.
• 5 days onsite.
• Onsite interview if local.
• Zoom interview if non-local.
• IOI process.
• Contract duration.
• Potential extension.
• W2 employment.
• Overall interview and hiring process.

Candidates should understand that once an interview is scheduled and everything goes well, they are expected to remain available and not back out or become unavailable.

Thankyou!