Principal engineering consultant

Job Description

A leading professional legal AI firm is seeking a Principal AI Engineering consultant to develop state-of-the-art Agentic AI, implementing AI security, cryptography, and state-of-the-art homomorphic cryptography. They must be able to understand from the big picture to detailed system implementation of big data and AI retrieval architecture, supporting and innovating as a global platform, as well as maneuver in a very dynamic environment, requires effective communication and social skills. They will be expected to bridge and communicate across functional teams, locally and globally. They will document drafting, including architecture, solution comparisons, etc. They will also conduct Proof of Concept systems design in a wide variety of functional domains, conduct various testing for selection of proper libraries, frameworks, and design and implement testing frameworks as guardrails for code delivery quality and behavioral tests.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

-Comprehensive knowledge in the systems domain

-Knowledge of Agentic AI and RAG architecture

-Hands on Linux/Unix skills

-Hands on skills on cloud architecture (AWS, Azure, GCP)

-Solid knowledge in message-driven/event-driven architectures, patterns (Kafka, RabbitMQ, ActiveMQ, SQS, EventBridge, etc.)

-Solid knowledge in microservice architectures (CQRS, Saga, Composition, Replica, etc.)

-Solid foundation in stringent data security solutions

-DevSecOps skills (CI, CD, Jenkins, Kubernetes, Karpenter, CloudFormation, Terraform, IaC, EKS, GKE, SonarQube, etc.)

-Cloud networking design (L4/L7 load balancers and limitations, DR methodology, rate limiting, performance sizing, binpacking, cloud Kubernetes ingress types, Istio, etc.)

-Systems and code security (Hashing, deprecation and vulnerabilities, FIPS compliance, etc.)

-Hands on coding skills with strong fundamentals of computer science, data structures, software and computer architecture (at least 3 languages in previous projects)

-Knowledge in performance web frameworks for microservices architecture (e.g. Fiber, Gin, Spring Boot, FastAPI, Enterprise J2EE)

-Knowledge in web serving technologies (e.g. Jetty, Tomcat, Uvicorn, Guvicorn, nginx, Apache

-Knowledge and exposure in ETL architectures and implementations (Flink, Spark streaming)

-Strong fundamentals in maintaining clean code, styling, best practices, algorithmic performance, performance and crash-free robust software architectures. Possession of cloud certification