About The Role

At Epiq , your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.

Job Description

About Epiq AI Labs

Epiq AI Labs is the innovation and engineering hub behind Epiq's next-generation AI platform for corporate legal departments and global law firms. We operate as a startup within a global organization, focused on agentic AI systems, knowledge-driven reasoning, and enterprise-scale simulations. We are:

Fast, experimental, and product-obsessed
Highly collaborative, low-bureaucracy, deeply technical
Backed by the resources, data access, and distribution scale of a global ALSP

We are building foundational AI systems — intelligent agents, reasoning engines, knowledge bases, and structured workflows — that transform how litigation, investigations, compliance, and corporate knowledge work get done.

Our culture is that of a startup: high autonomy, high trust, rapid iteration, and a team that genuinely enjoys working together.

About the Role

You will build and operate the services behind our AI-driven legal platform: asynchronous processing, data pipelines, the data access layer, and authentication and authorization. These are load-bearing systems, owned end to end rather than in slices — and as the platform grows, the surface you own grows with it.

Scalability and reliability are requirements, not later additions. Services should absorb growth in tenants, data volume, and concurrency without redesign, tolerate partial failure through retry, idempotency, and graceful degradation, and carry enough instrumentation to diagnose production behavior. We build on a modern stack and treat design as real work: choices about data models, service boundaries, and processing patterns are reasoned through and documented, made alongside senior engineers rather than inherited from them. The platform is early enough that what you build now will still be in its foundation years from now.

Key Responsibilities

Implement, test, and operate backend services and APIs that support our agentic AI platform
Build and maintain message-queue-based asynchronous processing, including retry and idempotency handling, dead-letter processing, and failure recovery
Contribute to data pipelines that ingest, parse, store, and index large volumes of documents
Implement authentication and authorization functionality using OAuth2, OIDC, and SAML within established patterns, including role-based access control for multi-tenant environments
Design and optimize PostgreSQL schemas and queries, and carry out schema migrations against live production traffic
Integrate search and vector storage technologies such as Solr and Qdrant
Instrument services with metrics, logs, and traces; monitor service health and participate in the on-call rotation
Write automated tests, participate in code review, and maintain continuous integration pipelines
Contribute to technical design documents and participate in design review
Collaborate with AI engineers, other backend engineers, product management, and security

stakeholders

Required Qualifications

3+ years of professional experience building and operating backend services in production, including responding to production issues
Proficiency in Python, or strong proficiency in a comparable language and the ability to work primarily in Python
Experience with at least one major cloud platform (AWS, GCP or Azure)
Working experience with relational databases, including schema design, query optimization, and migrations (PostgreSQL preferred)
Experience with asynchronous or event-driven processing, such as message queues (RabbitMQ, Kafka, or comparable) or task workers
Experience designing and implementing REST APIs consumed by other services or teams
Experience with automated testing and continuous integration practices
Familiarity with containerized deployment (Docker, and exposure to Kubernetes)
Familiarity with observability practices, including metrics, logging, and tracing
Demonstrated proficiency using AI tools in software development
Clear written and verbal communication, and the ability to make progress on ambiguous problems with appropriate guidance

Preferred Qualifications

Experience with high-volume data or document processing pipelines
Experience with infrastructure-as-code tools such as Terraform
Experience with multi-tenant SaaS architectures
Exposure to AI/ML systems or data-intensive applications
Experience in legal technology or another regulated industry
Experience with authentication and authorization standards (OAuth2, OIDC, SAML)

Candidates who meet most, but not all, of the qualifications above are encouraged to apply.

Stack

Python · PostgreSQL · RabbitMQ · Solr · Qdrant · OAuth2 / OIDC / SAML · Azure · Kubernetes ·
Docker · Terraform · Prometheus · Grafana · OpenTelemetry

Your specific salary will be determined based on several factors

Location-based market rate for the role
Your abilities in relation to the job specification
Performance during screening and interview
Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.
Click here to learn about Epiq's Benefits.

Epiq Leadership Compass

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

Build trust-based partnerships
Nurture long-term relationships
Remove collaboration barriers
Celebrate cross-team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

Use storytelling to build buy-in
Align communication with organizational goals
Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.

Use data to identify improvement opportunities
Make informed decisions
Align team goals with boarder strategy
Empower teams to manage their own goals
Translate vision into clear priorities
Prepare for disruptions with strong change management

Achieves Operational Success

Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

Improve workflows for team efficiency
Use clear documentation and expectations
Resolve issues quickly using data and feedback

It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.