JOB TITLE: Principal Engineering Consultant KEY RESPONSIBILITIES: - Contribute to and keep the industry-leading work of the Unified Agent Platform going - Work in with talents across the world in a globally leading firm. - State-of-the-art Agentic AI development in a leading professional legal AI firm - Implementing AI security, cryptography, and state-of-the-art homomorphic cryptography - Being 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. - Be able to manoeuvre in a very dynamic environment, requires effective communication and social skills. - Being able to bridge and communicate across functional teams, locally and globally. - Documentation drafting, including architecture, solution comparisons, etc. - Have to be dynamically and highly skilled at conducting Proof of Concept systems design in a wide variety of functional domains. - To conduct various testing for selection of proper libraries, frameworks - To design and implement testing frameworks as guardrails for code delivery quality and behavioral tests. - Attending meetings with global teams to liaise and to provide support or systems diagnosis. - Rapid learner - Communication with key stakeholders and presenting industry-leading solutions in a professional manner REQUIRED QUALIFICATIONS: - Hands on Linux/Unix skills - Hands on skills on cloud architecture (AWS, Azure, GCP) - Robust fundamentals in data architecture and infrastructures, particularly NoSQL (Not only RDBMS, but columnar databases, vector databases, K/V databases, search engines, Aerospike, Clickhouse, ElasticSearch, Solr, ELK, Cassandra, HBase, Cloud-based Spanner, Aurora, DynamoDB, etc.) - 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.) - 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 HTTPD) - 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. - Knowledge in end-to-end observability solutions (e.g. OpenTelemetry, Jaeger, Splunk, Coralogix, structured metrics, Prometheus, Grafana, Datadog, ELK, DTrace) PREFERRED QUALIFICATIONS: - Knowledge of Agentic AI and RAG architecture is high advantageous - Preferably: Go, Rust, Python, C, Java CERTIFICATIONS: - Cloud certifications