CareerPlan

Sr. SW AI Engineer

Austin, TX, USFull-time2026-10-03 → 2026-11-09

Core

Design, implement, and tune multi-agent LLM workflows, RAG pipelines, and agentic systems on enterprise on-premise infrastructure.

Role type

Senior IC Software Engineer (AI/Agentic Systems)

Builds

Production-grade agentic systems powered by large language models (LLMs) for enterprise data access and automation.

Domain

Fintech / AI Engineering

Deliverable

production ML models

Required skills

Java 21, Spring Boot 3.5.x, LangChain4j, LangGraph, ReAct agent patterns, RAG pipelines, vector storage (pgvector), Kubernetes/OpenShift, Helm, Jenkins CI/CD, REST APIs, microservices architecture, debugging, system design.

Preferred skills

Experience with agent orchestration frameworks, MCP (Model Context Protocol), confidence scoring for AI outputs, building audit trails for AI systems.

Technologies

Java, Spring Boot, LangChain4j, LangGraph, PostgreSQL, pgvector, Kubernetes, OpenShift, Helm, Jenkins, REST APIs

Responsibilities

Design and implement multi-agent LLM workflows using agent orchestration frameworks; Build and maintain ReAct agent loops and Supervisor/Orchestrator patterns; Develop MCP tool servers to expose enterprise data sources; Implement and refine RAG pipelines for document ingestion and semantic retrieval; Integrate with enterprise LLM inference gateways via REST APIs; Build Spring Boot microservices hosting AI orchestration engines; Author and maintain Helm charts and Jenkins CI/CD pipelines for containerized deployment; Create test plans and configure testing procedures for non-deterministic AI components.

Seniority

Senior, hands-on IC