AI Engineer

NetBrain Technologies Inc.

. Design and build core agent platform capabilities, including orchestration patterns (e.g., ReAct, Plan-and-Execute), tool execution layers, memory/context management, and guardrails .

Posted 4/21/2026full-timeBurlington • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

PythonReact

About the role

Key responsibilities & impact

Design and build core agent platform capabilities, including orchestration patterns (e.g., ReAct, Plan-and-Execute), tool execution layers, memory/context management, and guardrails
Develop reusable agent skills and a standardized tool ecosystem aligned with platform conventions
Implement enterprise-grade controls for agent execution, including human-in-the-loop workflows, permissioning, and policy enforcement
Design and implement RAG services, including hybrid retrieval, reranking, embeddings, and citation behavior
Define evaluation frameworks and quality metrics to ensure grounded, reliable outputs
Build automated evaluation and regression pipelines to maintain quality at scale
Establish observability (tracing, metrics, alerting) and optimize systems for latency, throughput, and cost
Define best practices and incident response processes to ensure production readiness
Prototype and productionize emerging approaches (e.g., GraphRAG, knowledge graphs, MCP integrations)
Evaluate AI frameworks and infrastructure (e.g., LangChain, LangGraph, AutoGen, LlamaIndex) and guide platform decisions
Diagnose and resolve complex AI system issues (retrieval quality, hallucinations, prompt regressions, agent failures)
Lead system design and drive technical decisions through hands-on prototyping and benchmarking

Requirements

What you’ll need

BS in Computer Science, AI, Electrical Engineering, or related field (advanced degree preferred or equivalent experience)
5+ years of software engineering experience, including building and deploying production-grade LLM, agent, or RAG systems
Proven track record of shipping and supporting AI-powered features in production
Strong Python skills (API design, testing, error handling, environment management)
Working proficiency in C# or C++
Deep understanding of RAG system design and evaluation methodologies
Experience building evaluation frameworks (test sets, metrics, regression pipelines)
Understanding of LLM security risks (prompt injection, data leakage, agent misuse)
Experience with graph databases, knowledge graphs, or GraphRAG preferred
Experience designing human-in-the-loop systems and execution controls preferred
Experience with agent frameworks (e.g., LangChain, LangGraph, AutoGen, LlamaIndex)
You are able and willing to commute to our Burlington, MA headquarters twice a week on a hybrid schedule

Benefits

Comp & perks

401k
medical/dental coverage

ATS Keywords

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Hard Skills & Tools

PythonC#C++RAG system designevaluation frameworksAPI designtestingerror handlingenvironment managementgraph databases

Soft Skills

leadershipproblem-solvingcommunicationtechnical decision-makingcollaboration

Certifications

BS in Computer ScienceBS in AIBS in Electrical Engineering