Join 7AI as a Senior AI Engineer to build LLM-powered systems for security operations at a pivotal stage in a startup.
Posted by employer 5 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
AI in the day-to-day
You'll build the LLM-powered systems behind our security agents, focusing on retrieval workflows and context management.
Requirements
- Experience
- 6+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior AI Engineer at 7AI, the individual will focus on architecting and building LLM-powered systems that enhance the capabilities of security agents through effective retrieval workflows and context management. Key skills include proficiency in Python, experience with AI in production, and familiarity with frameworks like LangChain and RAG. This position is ideal for seasoned engineers with a strong background in deploying AI solutions and a commitment to delivering reliable, user-focused outcomes. 7AI offers a unique opportunity to shape the future of AI security at an early-stage company backed by significant funding.
Joblaze insights
Quick facts
- How much experience is required?
- At least 6 years of relevant experience for this Senior AI Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: LangChain, LlamaIndex, Pinecone, Python, RAG, Weaviate.
- What seniority level is this role?
- 7AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior AI Engineer role at 7AI.
From the original posting
Overview
Every AI agent's investigation is only as good as the LLM system underneath it. Get the retrieval, context, and prompting wrong, and the agent looks smart in a demo but falls apart on a real customer's data. As a Senior AI Engineer, you'll build the LLM-powered systems behind our security agents: retrieval workflows, context management, agent prompts, and structured output pipelines. This role is distinct from traditional ML engineering. Instead of training models from scratch, you'll compose, optimize, and scale AI systems that solve complex enterprise problems, working closely with product, platform, and backend teams to get them into production.
What You'll Do
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 them with product APIs and backend services.
Own prompt engineering and iteration, refining prompts, templates, and context strategies to meet product quality and reliability goals.
Track real-world evaluation metrics such as usefulness, factual correctness, latency, and user experience impact, not just classic accuracy.
Work closely with product, platform, and backend teams to ensure integrations land cleanly.
Build reliable, scalable deployments that hold up on performance, cost efficiency, and observability in production.
What We're Looking For
6+ years of software engineering experience, including at least 1 year building AI in production.
BS in Computer Science or a related field.
Shipped LLM applications in production, not just prototypes, using large models in ways that meaningfully mattered to the product.
Strong coding skills in Python (or equivalent), with experience in API design, backend integration, database systems, and cloud deployment.
Hands-on experience with RAG, vector databases (Pinecone, Weaviate), and workflow frameworks like LangChain or Dust.
Comfortable architecting end-to-end solutions, including context windows, caching strategies, tool calls, and multi-step reasoning.
Experience with multi-modal models or multi-agent system design.
Familiar with AI safety guardrails, hallucination mitigation, and structured output enforcement.
Focused on product outcomes: the AI needs to work safely and reliably for users, not just perform well on paper.
Nice to Have
Master's degree in Computer Science or a related field.
Standard company text repeated across 7AI's postings is omitted here.