9 jobs in 7AI

Overview

We are seeking a Senior Software Architect to join our core R&D team. You will help define and evolve the technical foundation of our platform as we scale. This role sits at the intersection of engineering, product, and emerging AI capabilities where you’ll design systems that are not only reliable and scalable, but also ready to leverage the next generation of AI‑driven tooling.

You’ll act as a senior individual contributor and technical leader, partnering across teams to shape architecture, guide critical decisions, and turn complex ideas into practical, production‑ready systems.

• Own and evolve system architecture across our platform, ensuring scalability, reliability, and maintainability
• Partner closely with engineering and product teams to design systems that balance speed of delivery with long-term flexibility
• Lead high‑impact technical decisions, including trade‑offs across performance, cost, and complexity
• Translate ambiguous business or product needs into clear technical approaches and system designs
• Identify architectural gaps, technical debt, and scaling bottlenecks, and drive solutions proactively
• Act as a technical mentor and thought partner across teams

• Explore, evaluate, and apply AI tools, frameworks, and workflows to improve both our product and internal development velocity
• Stay current with advancements in AI development and help the team adopt them pragmatically
• Contribute to building a culture of curiosity and experimentation around AI across the organization
• Adopt and drive an AI‑first approach to software development cycle, design principals and product capabilities

• 20+ years of software engineering experience, with deep experience in system design and architecture
• Proven track record designing and evolving distributed or scalable systems
• Broad experience in AWS cloud architecture, with the ability to design and implement complex data plane and control plane systems
• Comfortable going deep technically while influencing broadly
• Experience working cross‑functionally with product, engineering, and business stakeholders
• Strong communication skills, with the ability to explain complex systems clearly
• Experience with data pipelines, highly scalable systems, cloud native architectures and services
• Experience in Cyber Security is a bonus

We are seeking a product-minded Software Engineer to join our core team. In this role, you’ll take ownership across the entire product stack designing and building backend systems, spanning into frontend when the product demands it, and bringing genuine product instinct to every decision you make.

This is not a backend role or a full-stack role in the conventional sense. We’re looking for engineers who are energized by customer pain points, not just technical problems, who understand the security landscape well enough to see its limitations, and who are excited to reimagine it from the ground up. As an AI-native company, we lean in heavily to AI-assisted development, and we expect you to as well.

As a key member of the team, you’ll help shape what we build and why while collaborating directly with customers, contributing product opinions alongside technical ones, and operating with the kind of broad ownership that only a small, fast-moving team can offer.

• Design, implement, and maintain core backend systems including APIs, data pipelines, and workflow engines powering 7AI’s agentic security platform.
• Span the full product stack using AI-assisted development, from backend services to frontend interfaces.
• Translate customer pain points into product requirements, and product requirements into shipped software.
• Engage directly with customers to deepen understanding of the problem space and validate solutions.
• Contribute product and design judgment not just implementation, shaping what gets built and how it works.
• Choose and implement appropriate technologies and architectures with a can-do, fast-shipping attitude.

• 5+ years of backend or full-stack engineering experience, with strong fundamentals in system design, APIs, and data modeling.
• Hands-on experience with cloud design and implementation (AWS preferred); familiarity with a wide range of cloud technologies and architectures.
• Proficiency in TypeScript/Node.js or similar modern server-side languages; Python a plus.
• Fluent with AI coding tools such as Claude, Cursor or similar.
• Demonstrated product instinct: you think about why something is being built, not just how, and you’re comfortable engaging directly with customers.
• Experience in or strong curiosity about the security domain — SIEM, SOAR, EDR, MDR, or incident response workflows.
• Excellent software development skills with strong problem-solving and communication abilities.

• Experience with workflow automation, SOAR platforms, or security orchestration.
• Familiarity with Temporal or similar workflow engines.
• Design sensibility — you don’t need to be a designer, but you know when something isn’t right.
• Background in a product-facing or customer-facing engineering role.

We are seeking a Principal Security Engineer to join our team and lead the evolution of AI cybersecurity defense, including incident response strategy and AI-driven security automation. As a senior technical leader, you will shape how modern security operations leverage AI agents to detect, investigate, and respond to threats at scale. You will define next-generation security use cases, guide platform strategy, and drive complex security initiatives across cloud and enterprise environments.

Our Principal Security Engineers are at the forefront of the Agentic Security revolution—combining deep technical expertise with strategic leadership to help organizations modernize their security operations through intelligent automation.

• Lead the evolution of advanced AI cybersecurity defense solutions, including incident response strategies, detection engineering, automated response, threat hunting, threat research, and security automation.
• Collaborate cross-functionally with product, engineering, and research teams to influence platform roadmap and AI security solutions.
• Work directly with customers, diving deep into their security posture and processes, and collaborate on their AI transformation journey.
• Build and automate realistic attack simulations, adversary emulation scenarios, and large-scale security environments.
• Provide technical leadership and mentorship on security best practices, automation design, and incident response methodologies.

• 15+ years of experience in cybersecurity, including significant experience in SOC, Blue Team, Detection Engineering, Threat Hunting, or Incident Response roles, with strong experience in Security Orchestration, Automation, and Response (SOAR) platforms and security automation frameworks.
• Deep understanding of modern security operations, attacker methodologies, and enterprise security architectures.
• Hands‑on coding experience with Python or similar languages.
• Past experience collaborating or working directly with customers.
• Strong understanding of security concepts across endpoint, identity, cloud and networking.
• Excellent problem‑solving, communication, and cross‑functional collaboration skills.
• Passion for advancing AI‑driven security operations and autonomous defense systems.

7AI empowers Security teams to shift high-value tasks to intelligent AI agents that help reshape the future of cybersecurity and automation. We’re building at the bleeding edge of AI, blending deep engineering with practical product impact. You’ll collaborate with mission-driven teams in a fast-paced, high-growth environment where your contributions directly influence what’s next in AI-powered systems.

This role builds on, but is distinct from, traditional ML engineering: the focus is not on training models from scratch, but on composing, optimizing, and scaling AI systems that solve complex enterprise problems.

• Architect and build LLM-powered systems — design retrieval workflows, context management, agent prompts, and structured output pipelines.
• Orchestrate AI workflows using tools like LangChain, LlamaIndex, or similar frameworks, integrating them with product APIs and backend services.
• Drive prompt engineering and iteration — refine prompts, templates, and context strategies to meet product quality and reliability goals.
• Manage real-world evaluation metrics — measure usefulness, factual correctness, latency, and UX impact vs. classic accuracy alone.
• Collaborate across functions — work closely with product, platform, and backend teams to ensure seamless integration.
• Develop reliable, scalable deployments — focus on performance, cost efficiency, and observability in production environments.

• Experienced in building real LLM applications — you’ve shipped systems that use large models meaningfully.
• Strong software engineering skills — Python/TypeScript, API design, backend integration, and cloud deployment.
• Tool fluency — comfortable with RAG, vector databases (e.g., Pinecone/Weaviate), workflow frameworks (LangChain, Dust), and related tooling.
• Architectural thinker — you can diagram end-to-end solutions incorporating context windows, caching strategies, tool calls, and multi-step reasoning.
• Product-oriented — you care not just that the AI works, but that it delivers value safely and reliably to users.

• 6+ years of software engineering experience, with at least 1+ year working building AI in production.
• BS Degree in Computer Science or related field. Masters degree is a plus.
• Demonstrated use of LLMs in production workflows or complex prototypes.
• Strong coding ability in Python or equivalent; familiarity with backend frameworks and cloud services.
• Experience with API integrations, database systems, and scalable architectures.
• Experience with multi-modal models or multi-agent system design.
• Familiarity with AI safety guardrails, hallucination mitigation, and structured output enforcement.
• Knowledge of vector DBs, RAG architectures, and prompt lifecycle tooling.

7AI empowers Security teams to shift high-value tasks to intelligent AI agents that help reshape the future of cybersecurity and automation. We’re building at the bleeding edge of AI, blending deep engineering with practical product impact. You’ll collaborate with mission-driven teams in a fast-paced, high-growth environment where your contributions directly influence what’s next in AI-powered systems.

This role builds on, but is distinct from, traditional ML engineering: the focus is not on training models from scratch, but on composing, optimizing, and scaling AI systems that solve complex enterprise problems.

• Architect and build LLM-powered systems — design retrieval workflows, context management, agent prompts, and structured output pipelines.
• Orchestrate AI workflows using tools like LangChain, LlamaIndex, or similar frameworks, integrating them with product APIs and backend services.
• Drive prompt engineering and iteration — refine prompts, templates, and context strategies to meet product quality and reliability goals.
• Manage real-world evaluation metrics — measure usefulness, factual correctness, latency, and UX impact vs. classic accuracy alone.
• Collaborate across functions — work closely with product, platform, and backend teams to ensure seamless integration.
• Develop reliable, scalable deployments — focus on performance, cost efficiency, and observability in production environments.

• Experienced in building real LLM applications — you’ve shipped systems that use large models meaningfully.
• Strong software engineering skills — Python/TypeScript, API design, backend integration, and cloud deployment.
• Tool fluency — comfortable with RAG, vector databases (e.g., Pinecone/Weaviate), workflow frameworks (LangChain, Dust), and related tooling.
• Architectural thinker — you can diagram end-to-end solutions incorporating context windows, caching strategies, tool calls, and multi-step reasoning.
• Product-oriented — you care not just that the AI works, but that it delivers value safely and reliably to users.

• 6+ years of software engineering experience, with at least 1+ year working building AI in production.
• BS Degree in Computer Science or related field. Masters degree is a plus.
• Demonstrated use of LLMs in production workflows or complex prototypes.
• Strong coding ability in Python or equivalent; familiarity with backend frameworks and cloud services.
• Experience with API integrations, database systems, and scalable architectures.
• Experience with multi-modal models or multi-agent system design.
• Familiarity with AI safety guardrails, hallucination mitigation, and structured output enforcement.
• Knowledge of vector DBs, RAG architectures, and prompt lifecycle tooling.

7AI in Boston is looking for a Principal Security Engineer to spearhead the evolution of AI-driven cybersecurity defense. This senior role involves shaping modern security operations leveraging intelligent automation and incident response strategies.

The ideal candidate will have over 15 years of experience in various cybersecurity fields, a deep understanding of security operations, and a passion for automated defense systems. Collaboration with customers will be crucial to guide their AI transformation journey.