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Open nowPosted 65 days ago

Full Stack Python Developer - Agentic AI Platform

Workable (global search)109,826 open roles

Where
George Town, Penang, Malaysia
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Your applicationOpen nowFull Stack Python Developer - Agentic AI PlatformWorkable (global search) · George Town, Penang, Malaysia

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

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  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 65 days ago

Workable (global search) median: 2 days open

The posting

Job Description

Overview

We are hiring a Mid-to-Senior Full Stack Developer to build and extend an Agentic AI platform with strong focus on LLM workflows, orchestration, and backend systems. This role requires a highly independent engineer who can quickly understand existing codebases and deliver production-quality enhancements with minimal guidance.

Core Hiring Bar (Non-Negotiable)

  • Ability to independently read, understand, and modify moderately complex Python modules (~300+ lines)
  • Comfortable filling knowledge gaps through documentation and reasoning (not dependent on AI-assisted coding tools)
  • Demonstrated ability to interpret existing systems and implement changes with minimal onboarding

Key Responsibilities

  • Develop and enhance backend services and agentic workflows for the AI platform
  • stateful, multi-step LLM pipelines and orchestration logic
  • Design, optimize, and maintain retrieval and scoring systems
  • Debug production issues using logs, traces, and system behavior
  • Collaborate across teams to deliver scalable and reliable AI-driven solutions
  • Implement incremental changes with strong testing and validation practices

Technical Requirements

Python (Senior Level)

  • Writes clean, idiomatic Python using:
  • Type hints, dataclasses, Pydantic
  • Generators and context managers
  • Strong understanding of:
  • Async/await and concurrency models
  • Proficient in Python standard libraries (e.g., pathlib, json, re, collections)
  • Able to modify existing complex systems independently

Backend Development (FastAPI)

  • Experience building and extending FastAPI services
  • Strong understanding of:
  • Request lifecycle
  • Dependency injection and middleware
  • Multi-worker deployments and shared state (e.g., Redis)
  • Able to diagnose issues using logs and traces (minimal debugger reliance)

LLM Engineering (Applied)

  • Experience building production-grade LLM workflows
  • Strong in:
  • Deterministic prompt design (structured outputs, low/no temperature)
  • Handling failure modes (timeouts, malformed outputs)
  • Understanding of RAG systems:
  • Chunking, embeddings, similarity scoring

Workflow Orchestration (LangGraph or Equivalent)

  • Experience with stateful orchestration frameworks preferred
  • Must be able to quickly:
  • Learn graph/state concepts
  • Implement multi-step workflows within 1–2 weeks

Retrieval & Scoring Systems

  • Experience with ranking/scoring methods (e.g., BM25, hybrid search)
  • Ability to tune:
  • Thresholds, weighting, precision vs recall trade-offs
  • Capable of building realistic test datasets

Diagnostics & Log Processing

  • Familiar with log ingestion and analysis pipelines
  • Understands:
  • Chunking strategies
  • Pattern extraction vs LLM reasoning
  • When to use deterministic vs AI-based parsing

Infrastructure & Runtime

  • Hands-on experience with:
  • Docker / Docker Compose (volumes, dependencies, health checks)
  • Debugging container runtime issues
  • Working knowledge of:
  • Redis (basic operations, TTL, persistence)
  • Enterprise networking concepts (e.g., proxies)

Frontend (Working-Level)

  • Ability to work with HTML + Vanilla JavaScript
  • Comfortable with:
  • DOM manipulation
  • Fetch APIs and event handling
  • Able to implement UI changes from requirements (no design dependency)

Work Style Expectations

  • Strong code-first discipline (understands design before coding)
  • Built-in focus on:
  • Testing and validation
  • Log-driven debugging
  • Writes clean, incremental changes with clear commits
  • Performs self-review against acceptance criteria
  • Asks focused, implementation-driven questions

Experience & Seniority

  • Level: Mid to Senior Engineer
  • Experience:
  • ~4–8 years in Python development
  • Proven track record delivering production systems
  • Experience with LLM-based or AI platforms preferred

Ideal Candidate Profile

  • Highly independent problem-solver
  • Strong systems thinker (not just feature coder)
  • Comfortable working in low-AI-assist environment
  • Bias toward execution, debugging, and delivery quality
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