Senior AI Engineer - Agentic Workflows, Remote

Infinity Constellation Inc.

United States

Remote

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Supernal is hiring a Senior AI Engineer to design and ship the first generation of personalized, self-improving agentic workflows that users rely on daily. You’ll own the agent runtime, memory and retrieval systems, evaluation harnesses, and product-facing surfaces at scale.

You will partner with platform engineering to extend core services (Django backend, event-driven systems, Kubernetes) while owning critical parts of the AI application layer.

Qualifications

  • Strong software engineering fundamentals and secure code practices.
  • Production experience deploying AI systems for real users.
  • Experience building memory-enabled, tool-using agentic systems.
  • Comfort across application and infrastructure layers (APIs, queues, data stores).
  • Hands-on with at least one agent framework (LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI).

Responsibilities

  • Design and ship end-to-end agentic workflows and runtimes.
  • Build memory, retrieval, and evaluation pipelines for agents.
  • Develop voice experiences and real-time/async interactions.
  • Create scalable production agent infrastructure with SLAs/SLOs.
  • Establish observability, reliability, and security for data access and tool execution.

Skills

Software engineering fundamentals
Production experience deploying AI
Memory & tool use in AI systems
APIs and deployment across stacks

Tools

LangChain
LangGraph
LlamaIndex
AutoGen
CrewAI
pgvector
Pinecone
Chroma
Weaviate
Qdrant

Job description

Supernal is hiring a Senior AI Engineer to design and ship the first generation of personalized, self-improving agentic workflows that users rely on daily. You’ll own the agent runtime, memory and retrieval systems, evaluation harnesses, and product-facing surfaces at scale.

You will partner with platform engineering to extend core services (Django backend, event-driven systems, Kubernetes) while owning critical parts of the AI application layer.

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