AI Solutions Architect

Here is what you'll actually do.

You'll bridge the gap between business problems and AI implementation. For 1-2 concurrent projects, you will digest client requirements, design systems involving LLMs and vector databases, rapidly prototype the solution, build the production pipeline, and hand off an intelligent API or agent system. You ship working AI, not just Jupyter notebooks.

What You'll Build

Recent task cards you would have pulled.

[ RAG Systems ]Complex conversational interfaces with semantic search

[ Agentic Workflows ]Multi-agent frameworks, LangChain pipelines, automated task execution

[ Python APIs ]FastAPI servers wrapping model calls with low latency

Who We're Looking For

We Are Extremely Specific About Who Fits.

You're right for this role if...

✓You've shipped something real and can show us the commit history

✓You understand that a reliable 80% solution beats a theoretical 99% accuracy model that never ships

✓You communicate progress before you're asked for an update

✓You follow the AI space hourly and know which new model invalidates our current approach

This role isn't right for you if...

✕You need detailed tickets with every edge case spelled out

✕You measure success by hours logged, not features shipped

✕You're looking for a stepping stone — we want people who want to stay

The Stack

Tools of the trade.

Must Have

PythonOpenAI API / ClaudeLangChain / LlamaIndexVector DBs (Pinecone/Weaviate)FastAPI

Nice To Have

Hugging FaceAWS/GCP ml-ops deploymentsNext.js for quick UIs

We'll Teach You

Advanced prompt engineering for specific edge casesTypescript backend basics

Compensation & Benefits

Honest numbers. No fluff.

Base Salary

PKR 1M - 1.5M. Determined by your past shipped work.

Performance Track

USD Performance Track after 6 months. For top performers with high sprint velocity.

Absolute Flexibility

Async, outcome-based. No time tracking. Deliver features, not hours.

Public Growth

Case study credit. Your work becomes your portfolio. Your name goes on it.

The Hiring Process

How we decide.

01

Apply

~10 min

Form below. No CV required.

02

Skill Task

48 hrs

You'll receive a dataset and a problem statement. Build a simple RAG pipeline using a vector DB and an LLM to answer questions accurately with citations. Return a working API endpoint. 48 hours.

03

30-min Call

~30 min

We discuss your code.

04

Offer

24 hrs

Yes or No, within 24 hours.

Build with us.

Submit your best work to start the process.

Full Name

Email

Link to your best work

One thing you built that you're most proud of

Why DaaS Labs specifically?

Availability

We don't review CVs. We review work.