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Two95 International

Full Stack Python Developer - Agentic AI Platform

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeGeorge Town, Penang, MalaysiaNo salary listed

About the Job

Requirements

  • Independently read, understand, and modify moderately complex Python modules of approximately 300 or more lines.
  • Fill knowledge gaps through documentation and reasoning, without depending on AI-assisted coding tools.
  • Interpret existing systems and implement changes with minimal onboarding.
  • Write clean, idiomatic Python using type hints, dataclasses, Pydantic, generators, and context managers.
  • Understand async/await and concurrency models, and use Python standard libraries such as pathlib, json, re, and collections.
  • Build and extend FastAPI services, understanding the request lifecycle, dependency injection, middleware, multi-worker deployments, and shared state such as Redis.
  • Diagnose issues using logs and traces with minimal reliance on a debugger.
  • Build production-grade LLM workflows, including deterministic prompt design with structured outputs and low or no temperature, and handle timeouts and malformed outputs.
  • Understand retrieval-augmented generation systems, including chunking, embeddings, and similarity scoring.
  • Quickly learn graph and state concepts and implement multi-step workflows within one to two weeks.
  • Use ranking and scoring methods such as BM25 and hybrid search; tune thresholds, weighting, and precision-recall trade-offs; and build realistic test datasets.
  • Understand log ingestion and analysis pipelines, chunking strategies, pattern extraction versus LLM reasoning, and when to use deterministic versus AI-based parsing.
  • Work hands-on with Docker and Docker Compose, including volumes, dependencies, and health checks, and debug container runtime issues.
  • Have working knowledge of Redis operations, time-to-live settings, persistence, and enterprise networking concepts such as proxies.
  • Work with HTML and vanilla JavaScript, including DOM manipulation, fetch APIs, and event handling, and implement UI changes from requirements without design support.
  • Apply a code-first approach, understand design before coding, test and validate work, debug using logs, make clean incremental changes with clear commits, self-review against acceptance criteria, and ask focused implementation-driven questions.
  • Have approximately four to eight years of Python development experience and a proven track record delivering production systems.

Responsibilities

  • Develop and enhance backend services and agentic workflows for the AI platform.
  • Build 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.

Desired Qualifications

  • Experience with stateful orchestration frameworks such as LangGraph or equivalent.
  • Experience with LLM-based or AI platforms.

About the Company

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