Infinity Constellation

Senior AI Engineer – Core

Infinity Constellation

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

DjangoKubernetesPostgres

About the role

  • 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

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
  • - LlamaIndex
  • - AutoGen / CrewAI-style multi-agent patterns
  • Strong understanding of retrieval and vector search concepts: embeddings, indexing, filtering, evaluation.
Benefits
  • Competitive salary commensurate with experience (Senior level)
  • reliable high-speed internet
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
software engineering fundamentalsdesigntestingcode qualityperformancesecurityretrievalvector searchembeddingsindexing
Soft Skills
engineering rigorreliability patternsobservabilitysecurity/privacy controls