Saransh Inc
Agentic AI + Java/Python - Only W2
Skills
3 months ago
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Important information
Contract type:
Freelance / Contract
Location:
Columbus, OH, USA
Work mode:
Hybrid
Published on:
8 August 2026
What they need
Role: Agentic AI + Java/Python Location: Columbus, OH / Plano, TX (Onsite from Day 1) Job Type: W2 Contract Primary Skills: Senior AI Engineer, Agentic Systems, Production Agentic AI, Java, Python Role Summary
- The Senior AI Engineer, Agentic Systems will design, build, deploy, and operate production-grade agentic AI systems that support enterprise-scale use cases.
- The role emphasizes shipped production experience, system reliability, orchestration, monitoring, debugging, and the ability to expose enterprise capabilities as tools or skills for LLM-powered agents.
Required Qualifications
- 7+ years of software engineering experience, with demonstrated experience building and shipping production systems.
- Hands-on production experience with agentic AI or GenAI applications, including deployment, monitoring, debugging, and operating agents at scale.
- Strong Python engineering skills, with the ability to work effectively in production AI and agentic system environments.
- Java experience or willingness to work daily within a Java service layer, especially where enterprise systems require integration with existing backend services.
- Experience with agent frameworks and orchestration technologies, including LangChain and/or LangGraph.
- Familiarity with production infrastructure for AI systems, including Kubernetes-based deployment environments.
- Ability to explain shipped system architecture and failure modes, including what was deployed, how it was monitored, where it failed, and how issues were resolved.
Preferred Qualifications
- Experience with LangGraph as a production orchestration layer.
- Experience with vLLM or comparable model-serving infrastructure.
- Experience in regulated-industry or financial-services technology environments, especially where enterprise scale and production-path stakes are important.
- Experience working with business stakeholders to deliver end-to-end AI use cases, not only platform or prototype work.
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