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About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it…
Contract SRE joining a 24/7 incident-response rotation for a client production platform: triaging P1/P2 incidents at the infrastructure level using logs from Kubernetes, RabbitMQ, and PostgreSQL on Azure, fixing infra-level issues directly and escalating application-level ones to the platform team.
Builds and maintains the AI platform’s infrastructure (Kubernetes, CI/CD, observability) to enable rapid, agent-assisted development while ensuring reliability and scalability across global clients.
Own and evolve Invisible’s AI platform infrastructure—Kubernetes, cloud, and agent-native tooling—ensuring reliability, security, and cost efficiency while guiding teams on safe AI engineering practices.
Build and deploy AI systems for enterprise clients, combining backend engineering with agentic AI and MLOps to create scalable ML solutions in production environments.
Principal Software Engineer builds and deploys scalable AI/ML systems, including agentic solutions and RAG pipelines, while collaborating directly with enterprise clients to integrate models into production workflows.
Leads AI-powered product discovery and delivery for enterprise clients, translating business needs into solutions using GenAI, automation, and human-in-the-loop approaches.
Build and deploy AI-powered workflows for enterprise clients, integrating LLMs, embeddings, and automation while scoping solutions from messy data to scalable systems.
Leads AI-powered client solutions end-to-end, from discovery through deployment, serving as both engineer and technical consultant. Works with Python, LLM frameworks (LangChain, Hugging Face), FastAPI, Kubernetes, and cloud platforms to build scalable systems from messy data and ambiguous workflows.
Staff Software Engineer (Forward Deployed) leads AI-driven solutions, working directly with clients to reshape critical workflows. This hybrid role combines AI engineering, software building, and technical consulting.
Build and deploy AI-powered workflows for enterprise clients, integrating LLMs, retrieval systems, and automation tools while collaborating with stakeholders to solve messy real-world data problems.
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