# Python Developer - Agentic AI Platform

> Two95 International Inc. · George Town, Malaysia · — · Posted 2026-06-06

**Workplace:** on_site

## 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
-   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

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

## Apply

[Apply at Two95 International Inc.](https://apply.workable.com/two95-international-inc-3/j/AC6E479750/apply)

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