AI agents and infrastructure consulting for financial services and SaaS
Brilliant Infotech pairs AI/LLM engineering with platform infrastructure expertise, serving financial services, SaaS, and PE portfolio companies. The hiring velocity is accelerating with 12 roles posted in the last 30 days—heavily weighted toward senior engineers (11 of 15 open roles)—while technical priorities reveal heavy infrastructure work: Kafka cluster design and performance tuning dominate their active projects, alongside AI application development using LLMs and agentic frameworks.
Founded in 2007, Brilliant Infotech operates as a boutique IT consulting and engineering firm from Edison, New Jersey. The company specializes in custom AI agents, RAG systems, workflow automation, platform modernization, and data engineering for mid-market and enterprise clients in financial services, B2B SaaS, business services, and private equity. Delivery spans technology strategy and architecture through hands-on implementation—cloud infrastructure (AWS, Kubernetes, Terraform), data pipelines (Snowflake, Databricks, Airflow), and AI/LLM applications. They also offer contract staffing and staff augmentation across AI, data, and DevOps disciplines.
Core: Java, Python, Kafka, Terraform, Kubernetes on AWS and GCP. AI: GPT-4, Google Agent Development Kit. Frontend: React, Next.js, Node.js. DevOps/CI: Jenkins, GitLab CI/CD, Ansible. Enterprise: Salesforce, OmniStudio, Jira, Confluence.
Active projects include Kafka cluster design and performance optimization, Salesforce integrations, cloud/network automation, AI applications using LLMs and agentic frameworks, and infrastructure cost management systems.
Brilliant Infotech Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.