Full Stack Engineer

Compensation

PKR 200,000 – 260,000 / month (Full net take-home/remittance, based on experience)

Working Hours

12:00 PM – 9:00 PM PKT (Monday – Friday)

Reporting To

CEO / Lead Engineer, Caliber Tech

Team Structure

Direct 1:1 collaboration with Executive Engineering Leadership; strictly internal engineering scope (no external client contact)

About Caliber Tech

Caliber Tech is a specialized engineering and technology venture based in Lahore. We design, build, and deploy production-grade software architectures, automated data pipelines, and cutting-edge agentic AI solutions.

We are seeking a high-agency, detail-driven Full-Stack Engineer to work directly alongside the CEO & Lead Engineer. In this role, you will be an execution partner on advanced enterprise AI platforms—driving functional and code-level QA, hunting bugs across the entire stack, hardening architecture, and engineering modular features powered by autonomous LLM agent workflows.

Core Responsibilities

Full-Stack Modular Engineering:

• Build and maintain scalable backend services using Python and Node.js / TypeScript.
• Develop clean, modular, and performant user interfaces using React.
• Construct reliable third-party integration pipelines (messaging channels such as WhatsApp/SMS, CRM/ATS synchronization engines, and background event listeners).

LLM & Autonomous Agent Systems:

• Implement agentic loops, prompt sequences, and structured function/tool calling using Anthropic Claude and OpenAI APIs.
• Optimize payload schemas for low latency, token efficiency, deterministic parsing, and resilient error recovery.

End-to-End Platform QA & Stress Testing:

• Systematically stress-test platform workflows, user journeys, edge cases, and asynchronous pipelines from the perspective of enterprise power users.
• Audit APIs, webhook handlers, and front-end state synchronizations to detect race conditions, logic errors, and security/boundary vulnerabilities.
• Conduct code-level root cause analyses and write clean, modular bug fixes directly in the codebase.

Candidate Requirements

• Experience: 2–4 years of professional, hands-on full-stack development experience in production environments.

Technical Stack

• Backend: Solid production experience in Python and/or Node.js (TypeScript).
• Frontend: Deep proficiency in React (state management, component modularity, clean UI architectural hygiene).
• Databases: Strong practical experience querying, indexing, and modeling relational databases (PostgreSQL / Azure SQL).

LLM Engineering

• Proven experience or strong hands-on familiarity working with foundational LLM APIs (OpenAI, Anthropic Claude), structured output generation, dynamic tool calling, and automated prompt chains.

Debugging & Problem Solving:

• Proven ability to trace complex issues from browser rendering and state management down through network payloads to database locks.

Onsite Availability

• Ability to work reliably onsite from our Lahore office during the core hours of 12:00 PM – 9:00 PM PKT, Monday through Friday.

Governance, Security & Confidentiality (Non-Negotiable)

• Reporting & Direct Supervision: You will report directly to the CEO & Lead Engineer of Caliber Tech. All work assignments, code reviews, and deliverables are handled internally. You will not have access to or contact with external client stakeholders or external client communication channels.
• Employment Contract, NDA & IP Assignment: Execution of a formal Caliber Tech employment contract, comprehensive Non-Disclosure Agreement (NDA), and an explicit, complete Intellectual Property (IP) Assignment Agreement is mandatory prior to onboarding. All code, architectures, algorithms, documentation, and systems produced belong exclusively to Caliber Tech.
• AI Tooling & Code Privacy Governance: You are strictly prohibited from copying or pasting proprietary source code, internal prompts, database schemas, or credentials into public or personal AI tools (e.g., standard public ChatGPT/Claude web interfaces without data-protection agreements). All development must use approved local tools and provisioned internal API keys.
• Access Control & Least Privilege: Access to repositories, branches, staging environments, and database credentials is provided on a strict need-to-know basis.