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Senior Artificial Intelligence Engineer

sevenaiBoston, MA
On-site Full-time

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Experience Level

Senior

Qualifications

Proficient in developing practical LLM applications — you have successfully launched systems that leverage large models effectively. Strong software engineering foundation — experienced in Python/TypeScript, API design, backend integration, and cloud deployment. Familiar with relevant tools — adept with RAG, vector databases (e.g., Pinecone/Weaviate), and workflow frameworks (LangChain, Dust). Architecturally minded — capable of conceptualizing end-to-end solutions that integrate context windows, caching strategies, tool calls, and multi-step reasoning. Product-focused — you prioritize that the AI not only functions but delivers consistent value to users reliably and safely.

About the job

At sevenai, we empower security teams to delegate high-value tasks to intelligent AI agents, transforming the landscape of cybersecurity and automation. Join us as we innovate at the forefront of AI technology, merging deep engineering with tangible product impact. Collaborate with mission-driven teams in a dynamic, high-growth environment where your contributions will significantly shape the future of AI-powered systems.

This role extends beyond conventional machine learning engineering; the emphasis is on composing, optimizing, and scaling AI systems designed to tackle complex enterprise challenges.

Your Responsibilities

  • Design and implement LLM-powered systems — craft retrieval workflows, manage context, develop agent prompts, and create structured output pipelines.

  • Orchestrate AI workflows utilizing frameworks like LangChain and LlamaIndex, integrating product APIs and backend services seamlessly.

  • Enhance prompt engineering — iterate on prompts, templates, and contextual strategies to achieve product quality and reliability standards.

  • Evaluate real-world performance metrics — assess usefulness, accuracy, latency, and user experience impact beyond classic metrics.

  • Collaborate across teams — liaise with product, platform, and backend groups to ensure fluid integration.

  • Ensure reliable and scalable deployments — prioritize performance, cost-effectiveness, and observability within production settings.

Who You Are

  • Proficient in developing practical LLM applications — you have successfully launched systems that leverage large models effectively.

  • Strong software engineering foundation — experienced in Python/TypeScript, API design, backend integration, and cloud deployment.

  • Familiar with relevant tools — adept with RAG, vector databases (e.g., Pinecone/Weaviate), and workflow frameworks (LangChain, Dust).

  • Architecturally minded — capable of conceptualizing end-to-end solutions that integrate context windows, caching strategies, tool calls, and multi-step reasoning.

  • Product-focused — you prioritize that the AI not only functions but delivers consistent value to users reliably and safely.

Basic Qualifications

  • Proven experience in building AI systems and applications.

About sevenai

sevenai is at the forefront of AI technology, empowering security teams with intelligent agents that revolutionize cybersecurity and automation. Our commitment to innovation and practical impact drives us to create advanced AI solutions that address real-world challenges.

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