Creative Chaos

Builds MVPs for startups and enterprises

Director of Innovation Delivery

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeRemote in PakistanNo salary listedRemote

About the Job

Requirements

Eight or more years of engineering experience, including at least four years leading multi-team delivery, and experience shipping production web and mobile systems at scale.
Have shipped at least one production AI application using Claude, GPT, Gemini, Llama, or Mistral, backed by retrieval using pgvector or a vector database and a basic evaluation and guardrail pipeline.
Have implemented orchestration using LangGraph, DSPy, or Temporal for durable workflows; rerankers such as Cohere, Jina, or Voyage; and prompt and tool versioning.
Have built with modern cloud and data technologies, including serverless platforms or Kubernetes, Terraform, OpenTelemetry, feature flags, and experimentation.
Have hands-on experience with models including Anthropic Claude, OpenAI, Google models, and open-weight models such as Llama and Mistral; orchestration and agents including LangGraph or DSPy and Temporal; retrieval using Postgres and pgvector, Weaviate, Qdrant, Pinecone, OpenSearch, or Typesense; embeddings and rerankers including OpenAI, Voyage, E5, BGE, Cohere, and Jina; guardrails and evaluations using JSON or Pydantic schemas, red-team sets, promptfoo, Ragas, DeepEval, and content or PII filters; observability using OpenTelemetry, Langfuse, Arize Phoenix, Sentry, or Grafana; application and data technologies including Next.js 15, TypeScript, Go, Python, Postgres, Kafka, Redpanda, NATS, and optionally dbt or lakehouse technologies; and operations technologies including Cloud Run, ECS, Kubernetes, Terraform or OpenTofu, GitHub Actions, LaunchDarkly, Unleash, Statsig, or GrowthBook.
Have strong client communication skills and commercial sense, including experience with statements of work, staffing, and utilization.

Responsibilities

Build AI-native products and lead cross-functional Innovation Delivery Squads, owning outcomes end to end across web, mobile, AI agents, and streaming backends.
Scope, architect, staff, ship, and operate products safely at scale as a hands-on technical leader.
Stand up and run squads across discovery, prototyping, product, platform, and site reliability engineering.
Design and ship retrieval-augmented generation and agent systems by selecting models, defining tools and functions, and selecting retrieval technologies.
Operate AI systems safely using evaluations and guardrails, structured outputs, personally identifiable information redaction, refusal policies, cost and latency budgets, and large language model observability.
Own delivery outcomes for service-level objectives, quality, cost, and velocity; release using feature flags and canary deployments.
Lead client discovery and scoping, and manage statements of work, roadmaps, and quarterly business reviews.
Hire and coach Tech Leads, engineering managers, and product managers, and improve team practices.

Director of Innovation Delivery

Creative Chaos · Pakistan (Remote) · Full-time · Posted 2026-02-02

Workplace: remote

Department: All Published Jobs

Description

Job Summary:
As a Director of Innovation Delivery you will build AI-native products. You’ll lead cross-functional Innovation Delivery Squads—owning outcomes end-to-end across web, mobile, AI agents, and streaming backends. You’re a hands-on technical leader who can scope, architect, staff, and ship; then run the product safely at scale.

Responsibilities:

Stand up and run squads (Discovery → Prototype → Product → Platform & SRE).
Design and ship RAG/agent systems: pick models (e.g., Anthropic Claude, OpenAI, Google, or open-weights like Llama/Mistral), define tools/functions, and choose retrieval (default Postgres + pgvector, scale to Weaviate/Qdrant/Pinecone when needed).
Operate AI safely: evals & guardrails, structured outputs (JSON/Schema), PII redaction, refusal policies, cost/latency budgets, and LLM observability.
Own delivery outcomes: SLOs, quality, cost, velocity; release with feature flags and canaries.
Be client-facing: discovery, scoping, SoW, roadmap, QBRs.
Hire/coach Tech Leads, EMs, and PMs; level up practices.

Requirements

8–12+ yrs engineering; 4+ yrs leading multi-team delivery; shipped production web/mobile systems at scale.
Shipped at least one production AI app using Claude/GPT/Gemini/Llama/Mistral, backed by retrieval (pgvector or a vector DB) and a basic eval/guardrail pipeline.
Implemented orchestration (LangGraph/DSPy or Temporal for durable workflows), rerankers (e.g., Cohere/Jina/Voyage), and prompt/tool versioning.
Built with modern cloud + data: serverless/K8s, Terraform, OpenTelemetry, feature flags/experimentation.
Excellent client communication and commercial sense (SoWs, staffing, utilization).

Tech stack (you have hands on experience)

Models: Anthropic Claude; OpenAI; Google; open-weights (Llama, Mistral).
Orchestration & agents: LangGraph (or DSPy) for graphs; Temporal for durable, long-running tasks and SLAs.
Retrieval: Postgres + pgvector (default); Weaviate/Qdrant/Pinecone when scale/ops require; hybrid search with OpenSearch/Typesense.
Embeddings / rerankers: OpenAI/Voyage/E5/BGE; Cohere/Jina/Voyage rerank.
Guardrails & evals: JSON/Pydantic schemas, red-team sets, promptfoo/Ragas/DeepEval; content/PII filters.
Observability: OpenTelemetry traces incl. prompt/tool spans; Langfuse/Arize Phoenix (or equivalent) + Sentry/Grafana.
App & data: Next.js 15 (RSC), TypeScript/Go/Python; Postgres; Kafka/Redpanda/NATS; dbt/lakehouse optional.
Ops: Cloud Run/ECS/K8s; Terraform/OpenTofu; GitHub Actions; LaunchDarkly/Unleash; Statsig/GrowthBook.

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About the Company

Creative Chaos

Builds MVPs for startups and enterprises

Creative Chaos is an integrated technology innovation firm that builds MVPs for startups and Fortune 500 companies, focusing on web applications, mobile apps, and IoT. It uses an MVP Development Framework and a delivery-driven team to turn ideas into testable products quickly. The company operates globally with a network of offices and 300+ full-time associates, delivering full life-cycle technology implementations across multiple industries. Unlike many firms, its differentiation comes from its emphasis on grit, delivery excellence, and a proven MVP process that supports agile development. Its goal is to help startups and enterprises bring their ideas to life by turning concepts into validated, market-ready MVPs through rapid, iterative development.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Everett, Massachusetts
Founded: 2000

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