Qualifications
Responsibilities
Benefits
Job Description
We're looking for a Senior Software Engineer – AI to join the CoCounsel International team and work closely with our Labs team to build new AI agents and adapt them for our international products and features. In this role, you'll build the backend services that bring these agentic capabilities to life, and help take early Labs concepts into scalable, production-ready features used by legal professionals worldwide.
Ifyou'repassionate about building AI agents and bringing new capabilities to life for legal professionals around the world,we'dlove to hear from you. Join us to build, innovate, and make a lasting impact on ourCoCounselapplication. Apply today!
Key Responsibilities
Build AI-Powered Backend Systems:Design and build backend services using Python,FastAPI, and PostgreSQL to support real-time AI interactions and large-scale data flows, with direct contribution to AI-powered capabilities such as agentic workflows, LLM orchestration, and content pipelines.
Shape Platform Architecture:Define service boundaries, system interfaces, and scalable design patterns that form the architectural foundation of our AI platform.
Productionize AI Capabilities:Integrate backend systems with modern LLM providers (e.g., OpenAI, Anthropic) and implement reliable orchestration, routing, error handling, guardrails, telemetry, and deep observability for performance and reliability.
Collaborate Cross-Functionally:Partner closely with our Labs team, product managers, and designers to take early AI agent concepts and turn them into scalable, production-ready features for our international products.
Mentor Engineers:Support the growth of other engineers through pairing, code reviews, and ongoing technical guidance.
Required Qualifications
Technical Experience:4+ years of professional software engineering experience building and shipping production backend systems, APIs, and microservices used by real customers.
Backend & Cloud Skills:Strongproficiencyin Python,FastAPI, PostgreSQL, and AWS cloud services, with a deep understanding of distributed systems, architecture, and data modeling.
Agentic AI Experience:Proven experience designing, building, and deploying production-grade agentic AI workflows 6 including multi-step reasoning, tool/API orchestration, and LLM-as-judge or eval-driven quality gates 6 serving real end users at scale.
Technical Judgment:Excellent debugging skills and a proven ability to deliver production-ready,highly reliablesystems.
Collaboration & Communication:Comfortable operating in fast-paced, iterative environments, with strong cross-functional communication skills.
Preferred Qualifications
BA or BS in Computer Science or equivalent practical experience
Experience with performance optimization for backend systems, including monitoring, profiling, and tuning for scale
Hands-on experience building AI-powered product features, including LLM APIs, RAG pipelines, or agentic workflows in a production environment
Familiarity with AI/ML infrastructure including vector databases, model serving, and cost/latency optimization for LLM-powered features
Strong opinions on testing, automation, and operational robustness
Prior experience working on products for legal, compliance, or other regulated professional domains
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