Note: The job is a remote job and is open to candidates in USA. Employ is transforming how hiring gets done with innovative ATS solutions and AI Companions. In this senior-level role, you will lead the architecture and evolution of AI-powered systems, ensuring they operate safely and at scale while shaping the future of talent acquisition.
Responsibilities
- Lead the architecture and delivery of end-to-end AI-powered systems, including agents, RAG pipelines, orchestration layers, and reasoning workflows
- Translate product vision into scalable technical systems
- Define contracts, state management strategies, and guardrails for AI-driven workflows
- Own and evolve API contracts that AI systems interact with, ensuring reliability, idempotency, authentication safety, and rate limiting
- Design schema enforcement and validation layers for AI-generated outputs
- Implement retries, fallback strategies, and failure-mode containment
- Establish evaluation frameworks for benchmarking, regression testing, and drift detection
- Create observability standards for AI systems, including structured logging, telemetry, tracing, and performance monitoring
- Productionize experimental AI capabilities into scalable, secure services
- Establish architectural patterns and standards adopted across teams
- Mentor engineers on AI-native engineering practices, technologies, and frameworks
- Influence engineering culture through clarity, urgency, and execution
- Decompose high-level business outcomes into executable technical systems
Skills
- 5+ years of software engineering experience
- 2-3+ years of AI development experience
- Experience designing decoupled systems using queues such as Kafka, SQS, or BullMQ, and implementing asynchronous workflows that prevent blocking operations in user-facing systems
- Experience persisting state across sessions, managing context windows efficiently, and handling concurrency and race conditions when multiple agents interact with shared data
- Experience enforcing structured outputs using schema validation tools such as Pydantic, Zod, or JSON Schema to ensure AI-generated outputs are reliable and machine-readable
- Strong understanding of REST, GraphQL, or RPC interface design, along with authentication, rate limiting, and idempotent API patterns
- Languages: Python, including asyncio, decorators, and the modern Python ecosystem. TypeScript / Node for integration and application-layer logic
- AI Stack: Orchestration frameworks such as LangChain, LangGraph, or custom agent loops. Retrieval-Augmented Generation (RAG) systems. Hybrid search, re-ranking, and chunking strategies. Vector databases such as Pinecone, pgvector, or Weaviate
- Database & Infrastructure: Advanced SQL skills including query optimization and indexing strategies. Containerization using Docker, Kubernetes or similar orchestration platforms. Experience running isolated environments for code execution
Benefits
- Flexible work scheduling and paid time off
- Comprehensive benefits
- Career development opportunities
- Remote-first culture: Work from where you’re most productive while staying connected to a collaborative, high-energy team through virtual-first rituals and regular in-person meetups.
- Unlimited PTO: Trust-based time off so you can recharge and bring your best self to work.
- Comprehensive benefits: Medical, dental, and vision coverage to support you and your family’s health and well-being.
- Learning & development programs: Access to training, mentorship, and development resources to grow your skills — from HR operations to total rewards strategy.
Company Overview
Company H1B Sponsorship