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AI Architect

3 months, 1 week ago
Pakistan
Full-time
Lead
AI Engineer
Software Development
AWS dbt GCP GitHub Actions Go GPT Grafana JavaScript JSON Kafka Kubernetes NATS Next.js OpenSearch OpenTelemetry Phoenix PostgreSQL Python React Serverless Terraform TypeScript
Apply Now
Creative Chaos

Creative Chaos

Creative Chaos is an integrated technology innovation firm that helps startups and enterprises bring their ideas to life through web, mobile, and IoT solutions.

Internet Software & Services
251-1K
Founded 2000
View All Jobs 123

Description

  • Lead and run cross-functional Innovation Delivery Squads through Discovery → Prototype → Product → Platform & SRE, owning outcomes end-to-end.
  • Scope, architect, staff, and ship AI-native products across web, mobile, AI agents, and streaming backends, then operate them safely at scale.
  • Design and ship RAG/agent systems: select model providers, define tools/functions, and architect retrieval layers (default Postgres + pgvector; scale to vector DBs when needed).
  • Implement orchestration and durable workflows for agents (e.g., LangGraph/DSPy, Temporal) and integrate prompt/tool versioning and rerankers.
  • Define and enforce AI safety practices: evals and guardrails, structured JSON/schema outputs, PII redaction, refusal policies, and cost/latency budgets.
  • Own delivery metrics and release practices including SLOs, quality, cost, velocity, feature flags, and canary rollouts, and ensure LLM observability.
  • Be client-facing for discovery, scoping, Statements of Work, roadmaps, and Quarterly Business Reviews.
  • Hire, coach, and level up Tech Leads, Engineering Managers, and Product Managers and establish strong engineering and delivery practices.

Requirements

  • 8–12+ years engineering experience with 4+ years leading multi-team delivery.
  • Experience shipping production web and mobile systems at scale.
  • Shipped at least one production AI application using Claude/GPT/Gemini/Llama/Mistral backed by retrieval (pgvector or a vector DB) and a basic eval/guardrail pipeline.
  • Experience implementing orchestration/durable workflows (LangGraph or DSPy for graphs; Temporal for durable, long-running tasks and SLAs).
  • Hands-on experience with rerankers and embeddings (e.g., Cohere, Jina, Voyage; OpenAI/Voyage/E5/BGE) and hybrid retrieval approaches.
  • Practical experience with retrieval stacks: Postgres + pgvector (default); Weaviate, Qdrant, or Pinecone for scale; OpenSearch/Typesense for hybrid search.
  • Built systems on modern cloud and data platforms: serverless/Kubernetes, Terraform/OpenTofu, OpenTelemetry, and feature-flag/experimentation platforms (LaunchDarkly/Unleash, Statsig/GrowthBook).
  • Proficiency in LLM observability and monitoring tooling (OpenTelemetry traces with prompt/tool spans; Langfuse/Arize Phoenix or equivalent; Sentry/Grafana).
  • Strong client communication and commercial skills (scoping, Statements of Work, staffing, utilization).
  • Familiarity with application and data stacks: Next.js 15 (RSC), TypeScript/Go/Python, Postgres, Kafka/Redpanda/NATS; dbt/lakehouse experience is optional.

Interested in this position?

Apply directly on the company website

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