Title: Senior AI Engineer — Inference & Agent Systems

Location:
BLR/Remote India

What We're Building

Arcana is building AI agents that synthesize information across heterogeneous sources and deliver structured, reasoned answers in real time. The product only works if the agents are quick, reliable, and correct, not approximately correct.

Our stack: Go + Temporal for orchestration, a Plan-Execute-Synthesize agent architecture, and an evaluation harness we use to measure every regression. The problems are hard. The latency bar is aggressive. The accuracy requirements are unforgiving.

The Work

Inference Optimization
Drive TTFT below 400ms for multi-step agent pipelines
Streaming optimization: first token to user while sub-agents are still running
KV cache strategy, prompt compression, agile context window management
Multi-provider routing: model selection by latency, cost, and task type across OpenAI, Anthropic, Gemini, and open-weight models

Agent Architecture
Design and implement Plan-Execute-Synthesize pipelines that run sub-agents in parallel DAGs,



not sequential chains
Build reliable orchestration on top of Temporal: retries, timeouts, partial failure recovery, idempotency
Structured output enforcement: JSON schema validation, retry loops on malformed LLM output, graceful degradation
Tool call design: schema design that LLMs actually follow reliably across providers

Evaluation & Harness
Own the eval framework end to end: ground truth datasets, automated scoring pipelines, regression detection on every PR
LLM-as-judge pipelines for qualitative output assessment
Latency regression testing - p50/p95/p99 tracked across every deployment
Adversarial test case design: ambiguous queries, missing data, conflicting sources, malformed tool responses

Infrastructure
Model serving and cold start optimization
Async worker architecture for parallel sub-agent execution
Observability: trace every token, every tool call, every synthesis step

📌 Senior Ai Engineer — Inference Bengaluru (India)
🏢 Arcana Analytics
📍 India