infinity-constellation - Senior AI Engineer (Core) - Supernal
Requirements
• Strong software engineering fundamentals (design, testing, code quality, performance, security). • Production experience deploying AI systems in front of users (not just notebooks/demos). • Experience building agentic or LLM-powered systems with memory and tool use. • Comfort working across application + infrastructure layers: APIs, background jobs, data stores, and deployment. • Hands-on experience with at least one agent framework (or equivalent custom implementation), such as: • LangChain / LangGraph • AutoGen / CrewAI-style multi-agent patterns • Strong understanding of retrieval and vector search concepts: embeddings, indexing, filtering, evaluation. • Experience with vector databases and/or search stacks (e.g., Pinecone, Chroma, Weaviate, Qdrant, pgvector). • Experience designing evaluation systems (offline eval, human eval loops, production monitoring, prompt/model regression). • Experience building voice/real-time systems (streaming, WebRTC or similar), and/or integrating speech (STT/TTS) into production applications. • Experience building durable, long-running workflows (Temporal or similar orchestration engines). • Familiarity with observability tooling (OpenTelemetry, Datadog, or similar). • Experience shipping multi-tenant SaaS systems with strong privacy boundaries. • INTERVIEW FOCUS AREAS • System design for agentic applications (state, memory, evaluation, failure modes). • Practical retrieval/RAG design (data modeling, indexing, relevance, latency). • Production engineering practices (testing strategy, observability, rollouts). • Ability to communicate tradeoffs and make good technical decisions under uncertainty.
Responsibilities
• Ship user-facing agent experiences end-to-end: prototype → production → iteration based on real usage. • Architect and implement stateful agent systems (workflows, tool calling, memory, retrieval, and human-in-the-loop where needed). • Build voice features end-to-end where they unlock value: realtime speech agents, voice UI/UX, prompt/audio routing, and guardrails for safe tool execution. • Build/own an evaluation harness: • curated test sets + scenario suites • automated scoring / rubric-based graders • prompt/model/version tracking • canary + A/B experimentation and safe rollout patterns • Design data + retrieval pipelines: • chunking, enrichment, metadata strategy • hybrid retrieval (vector + keyword + structured filters) • re-ranking, caching, and latency optimization • multi-tenant safety and data isolation • Integrate with and extend our platform primitives: • Django/DRF/ASGI services • async execution + queues + workflow orchestration • PostgreSQL + pgvector • Kubernetes deployments, autoscaling, and cost controls • Establish engineering rigor for agents: • observability (traces, spans, structured logs) • reliability patterns (timeouts, retries, circuit breakers, graceful degradation) • security/privacy controls for data access and tool execution
Benefits
• Compensation: Competitive salary commensurate with experience (Senior level) • Location: Remote • Type: Full-time • Requirements: Overlap with Americas timezones for collaboration; reliable high-speed internet
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