Senior AI Engineer

7AI
Boston
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Architectural thinking","Prompt iteration","Collaboration","Product orientation"]

Design and build LLM-powered systems for cybersecurity automation, focusing on retrieval workflows, context management, agent prompts, and structured output pipelines. Orchestrate AI workflows with LangChain or LlamaIndex and integrate them with product APIs and backend services. Iterate on prompt strategies, track real-world evaluation metrics (usefulness, factual correctness, latency, and UX impact), and deploy scalable, observable solutions with performance and cost efficiency in mind.

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FursaFursa
7AI
7AI
4 months ago

Senior AI Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Design and build LLM-powered systems for cybersecurity automation, focusing on retrieval workflows, context management, agent prompts, and structured output pipelines. Orchestrate AI workflows with LangChain or LlamaIndex and integrate them with product APIs and backend services. Iterate on prompt strategies, track real-world evaluation metrics (usefulness, factual correctness, latency, and UX impact), and deploy scalable, observable solutions with performance and cost efficiency in mind.
Location: Boston
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect and build LLM-powered systems, including retrieval workflows, context management, agent prompts, and structured output pipelines.
  • •Orchestrate AI workflows using LangChain, LlamaIndex, or similar frameworks and integrate with product APIs and backend services.
  • •Drive prompt engineering and iteration to improve product quality and reliability.
  • •Manage real-world evaluation metrics such as usefulness, factual correctness, latency, and UX impact.
  • •Collaborate with product, platform, and backend teams and develop reliable, scalable deployments with performance, cost efficiency, and observability in production.

Key Requirements

  • •6+ years of software engineering experience, including 1+ year building AI in production.
  • •BS in Computer Science (or related); Masters is a plus.
  • •Demonstrated experience using LLMs in production workflows or complex prototypes.
  • •Strong coding in Python (or equivalent) with familiarity in backend frameworks and cloud services.
  • •Experience with API integrations, database systems, scalable architectures, and vector DB/RAG workflows.
Experience:6+ yearsAI in production
Education:Bachelor's in Computer Science or related field
Skills:Architectural thinkingPrompt iterationCollaborationProduct orientation
Tech Stack:LLMPythonTypeScriptLangChainLlamaIndexRAGVector databasesPineconeWeaviateDustAPI integrationStructured outputMulti-agent systemsObservabilityCloud deployment

Company Brief

7AI
7AI builds an agentic security platform that uses AI agents to offload non-human security work and improve cybersecurity operations. It focuses on helping enterprise defenders handle alert volume, automate investigations, and strengthen security outcomes.
Industry: Cybersecurity
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Boston, United States
WebsiteLinkedIn