Senior Database Reliability Engineer

Neshent Technologies; Santa Clara (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Neshent Technologies is seeking an Agent Engineer to design and deploy agentic AI-powered workflows across enterprise tools, enabling systems to reason, plan, and act. You will own prototypes through production, partnering with cross-functional teams to deliver scalable automation.

The role focuses on building reliable, secure AI-powered workflows with strong Python and ML integration, in a fast-paced environment at our Santa Clara location.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
• Strong programming experience in Python and building LLM-based applications.
• Experience integrating AI/ML into workflows and systems.

Responsibilities

• Design and implement agent-based systems using LLMs, tools, memory, and planning.
• Build agent workflows across enterprise systems via APIs and services.
• Develop RAG pipelines to support agent reasoning.
• Implement human-in-the-loop patterns for safety and escalation.
• Define evaluation frameworks for accuracy and task success.
• Own solutions from prototype through production deployment and monitoring.
• Collaborate cross-functionally to deliver scalable and secure solutions.

Skills

Python

LLM apps

AI/ML integration

Education

Bachelor’s or Master’s in Computer Science/ Data Science

Tools

LangChain

Semantic Kernel

Job description

We are seeking an Agent Engineer to help build the next generation of AI-powered workflows and intelligent systems. In this role, you will design and deploy agentic solutions that can reason, plan, and take action across enterprise tools, unlocking new levels of automation and productivity.

Responsibilities

• Design and implement agent-based systems using LLMs, tools, memory, and planning, including orchestration and multi-step workflows.


• Build and integrate agent workflows across enterprise systems via APIs and services.


• Develop RAG pipelines where applicable to support agent reasoning.


• Implement human-in-the-loop patterns for safety, review, and escalation.


• Define and operationalize evaluation frameworks focusing on accuracy, reliability, and task success.


• Own solutions from prototype through production deployment and monitoring.


• Partner cross-functionally to deliver scalable, secure, and high-impact solutions.

Mandatory Skills

• Strong programming experience in Python.


• Experience building LLM-based applications or workflow automation systems.


• Proficiency in AI and ML integration.

Preferred Skills

• Experience with agent frameworks such as LangChain or Semantic Kernel.


• Familiarity with RAG, vector databases, and evaluation techniques.


• Experience designing multi-step or tool-augmented workflows.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, or a related field (or equivalent experience).

Core Competencies

• Agentic System Design


• Applied Generative AI


• Workflow Orchestration


• Evaluation & Reliability


• Software Engineering Excellence


• Cross-Functional Collaboration