Total 4 job vacancies by Lawgorithm Private Limited

Role Overview

As our Data Engineer, you will own the lifeblood of our legal AI platform — the data pipeline that keeps our knowledge graph accurate and current. You will build CDC (Change Data Capture) pipelines to synchronize our Neo4j knowledge graph with Singapore’s official legal publications, implement data quality validation frameworks, and ensure version control across statutory amendments. When a new Gazette is published, your pipeline is what makes our AI know about it within days — not months.

Key Responsibilities

• Design and implement CDC pipelines to capture incremental changes from Singapore Gazette, AGC consolidated statutes, and other authoritative legal sources

• Build automated data ingestion workflows: scraping, parsing, structural analysis of legal documents (Act → Part → Division → Section → Subsection)

• Implement temporal metadata extraction: effective dates, repeal dates, amendment lineage, and version tracking for every statutory provision

• Develop data quality validation framework: automated checks for temporal conflicts, missing citations, entity mismatches, and cross-jurisdiction inconsistencies

• Manage Neo4j graph data loading and incremental updates — updating specific nodes without full graph rebuilds

• Build monitoring dashboards for data pipeline health: ingestion latency, error rates, coverage metrics

• Implement data versioning and rollback capabilities for audit compliance

• Collaborate with Backend Engineer on ETL-to-KAG integration and with QA on data accuracy validation

Requirements

• 2+ years experience in data engineering, ETL development, or data pipeline architecture

• Proficiency in Python and/or Go for data processing scripts and pipeline orchestration

• Experience with graph databases (Neo4j preferred) or relational databases (PostgreSQL)

• Hands-on experience with CDC tools or patterns (Debezium, Kafka Connect, or custom CDC)

• Understanding of data quality frameworks and validation methodologies

• Familiarity with AWS data services (S3, Glue, Lambda, or Step Functions)

• Proficiency in English; Mandarin is a strong plus

• Singapore Citizen or Permanent Resident (PR) required

Nice-to-Have

• Experience with web scraping and document parsing (BeautifulSoup, Scrapy, or similar)

• Background in legal data, regulatory data, or structured document processing

• Experience with workflow orchestration tools (Airflow, Dagster, Prefect)

• Knowledge of NLP-based entity extraction or named entity recognition

Role Overview

As our QA & Partner Success Manager, you are the bridge between our technology team and our enterprise trial partners. You will own the quality assurance process — ensuring our legal AI outputs meet the exacting standards of the legal profession — while also managing the pilot partner relationship lifecycle from onboarding through UAT to production adoption. This role is critical for our POV success.

Key Responsibilities

• Design and execute comprehensive QA test plans for the KAG platform: functional testing, regression testing, edge-case legal scenario testing

• Build and maintain the Legal Benchmark Suite: 500+ trap questions covering citation accuracy, logical consistency, entity integrity, and temporal validity

• Coordinate UAT (User Acceptance Testing) with 3–6 enterprise trial partners: schedule sessions, collect structured feedback, prioritize bug reports

• Manage pilot partner onboarding: secure API integration, training materials, user guides, and ongoing support

• Track and report POV KPIs: NPS, helpfulness score, time savings, WAU (Weekly Active Users), issue resolution rate

• Conduct daily stand-ups with engineering team to triage pilot issues (target: <5 P0 issues at any time)

• Prepare milestone review documentation and pilot partner satisfaction reports for Enterprise Singapore

• Act as the “voice of the customer” in product planning meetings, translating partner feedback into feature requirements

Requirements

• 2+ years experience in QA, customer success, or technical account management

• Strong analytical skills: ability to design test cases, analyze usage data, and produce actionable reports

• Excellent communication skills in English (written and verbal); Mandarin is a strong plus

• Experience with QA tools (Jira, TestRail, or equivalent)

• Comfort working with APIs (Postman, curl) for basic integration testing

• Project management skills: ability to coordinate across engineering, product, and external partners

• Detail-oriented with a systematic approach to documentation

• Singapore Citizen or Permanent Resident (PR) required

Nice-to-Have

• Experience in legal tech, professional services, or enterprise SaaS

• Background in customer success management with NPS/CSAT tracking

• Familiarity with PDPA or data protection compliance

Role Overview

As our Backend/Platform Engineer, you will be the core builder of our KAG engine and data infrastructure. You will design and implement the Go-based microservices that power our legal reasoning pipeline, build CDC connectors to keep our knowledge graph in sync with Singapore statutes, and ensure our platform achieves <2s p95 latency at enterprise scale. You will have direct influence over architecture decisions and technical direction.

Key Responsibilities

• Design and implement KAG core services in Go (Gin framework), including dual-channel fusion engine (symbolic graph query + neural embedding), with PostgreSQL as the primary relational data store

• Build and optimize Neo4j knowledge graph schema — 1,500+ legal entities with temporal validity, cross-references, and amendment lineage tracking

• Develop the Legal ETL pipeline: ingest Singapore Gazettes, parse statutory hierarchy (Act → Part → Section), tag effective/repeal dates

• Implement CDC-driven incremental synchronization for real-time statutory updates (target: T+1 to T+3 days)

• Build the Consistency Validator engine — a deterministic post-generation checker for entity existence, relation validity, temporal validity, and citation format

• Design and implement RESTful and streaming (SSE) APIs for frontend consumption

• Manage Redis integration for token storage, session caching, and query result caching to achieve <2s p95 latency

• Configure and maintain RabbitMQ task queues for asynchronous pipeline processing, CDC event distribution, and inter-service communication

• Optimize query performance: parallel symbolic + vector search using errgroup, Redis caching, and PostgreSQL query tuning

• Write comprehensive unit and integration tests; maintain >80% code coverage

Requirements

• 3+ years backend development experience in Go (strongly preferred) or Rust/Java

• Hands-on experience with Neo4j or other graph databases (Cypher fluency preferred)

• Solid understanding of microservices architecture, Docker, Kubernetes

• Experience with RabbitMQ or similar message queues and CDC patterns

• Strong experience with PostgreSQL (schema design, query optimization, migrations)

• Familiarity with Redis (caching strategies, token management) and RabbitMQ (task queue patterns)

• Familiarity with AWS services (EKS, RDS, S3, KMS)

• Strong foundation in data structures, algorithms, and system design

• Proficiency in English; Mandarin is a strong plus

• Singapore Citizen or Permanent Resident (PR) required

Nice-to-Have

• Experience with legal tech, regulatory tech, or compliance systems

• Knowledge of RAG/KAG architectures or LLM integration

• Experience with vector databases (Pinecone, Milvus)

• Familiarity with FastAPI / Python ML serving for integration with inference and training services

Role Overview

As our Frontend Engineer, you will build the enterprise-grade user interface that brings our legal AI to life. You will develop the interactive legal research dashboard, the citation trace viewer (showing the complete evidence chain from AI answer back to original statute), real-time streaming chat interface, and a multilingual (EN/ZH/MS/TA) i18n framework. You will work directly with our CTO and pilot partners to design intuitive workflows for legal professionals.

Key Responsibilities

• Build production-grade React 18 frontend using TypeScript, TailwindCSS, and React Query for server state management

• Develop the interactive KAG exploration interface: legal knowledge graph visualization, entity relationship browsing, temporal version comparison

• Implement the citation trace viewer: clickable source chains from AI response → citation → KAG entity → original Gazette source

• Build real-time streaming chat interface with SSE for progressive AI answer rendering

• Implement internationalization (i18n) using i18next for English, Mandarin, Malay, and Tamil

• Develop the enterprise admin dashboard: user management, usage analytics, audit log viewer, compliance reporting

• Implement accessibility standards (WCAG 2.1) for government and enterprise compliance

• Collaborate with pilot partners on UX research and iterate based on user feedback

• Follow Atomic Design principles for component architecture; maintain Storybook documentation

Requirements

• 2+ years frontend development experience with React (TypeScript required)

• Strong proficiency in TailwindCSS or similar utility-first CSS frameworks

• Experience with React Query (TanStack Query) or SWR for data fetching

• Understanding of SSE/WebSocket for real-time data streaming

• Experience with data visualization libraries (D3.js, Recharts, or similar)

• Eye for UI/UX design; ability to translate wireframes into polished, responsive interfaces

• Familiarity with Git workflows, CI/CD, and component testing (Jest, React Testing Library)

• Proficiency in English; Mandarin is a strong plus

• Singapore Citizen or Permanent Resident (PR) required

Nice-to-Have

• Experience with graph visualization (vis.js, Cytoscape.js, or D3 force-directed graphs)

• Experience with i18n/l10n for multilingual applications

• Background in enterprise SaaS or B2B product development