AI role · Open offer

AI Developer — Systems Limited jobs Islamabad

Systems Limited

Full-time
Mid
Digital transformation AI
Hybrid
Islamabad, Pakistan · Hybrid
PKR 350k–550k/mo

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Islamabad, Pakistan · Hybrid
Compensation: PKR 350k–550k/mo
Experience level: Mid
Team: Digital transformation AI
Benefits & perks

About this role

What the team is looking for and how this position fits.

Systems Limited is hiring a Mid AI Developer — Systems Limited jobs Islamabad on the Digital transformation AI team (Hybrid · Islamabad, Pakistan). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Systems Limited jobs expand in Islamabad for digital transformation AI.

AI Developer (hybrid Islamabad): chatbots, document AI, and MLOps for enterprise clients — jobs at Systems Limited.

Missions

Build multilingual assistants with measurable accuracy.
Harden pipelines with CI, monitoring, and rollback.

Stack & environment

Python, NLP stacks, Azure, Docker.

What we look for

LLM/NLP delivery; Pakistan work authorization.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
NLP

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.
AzureTool
Regular use of Azure in the LLM & generative AI stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Document AI, chatbots, or MLOps for enterprise clients.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, NLP, MLOps, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Islamabad, Pakistan)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: PKR 350k–550k/mo, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Document AI, chatbots, or MLOps for enterprise clients.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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