Full Stack Python Developer - Agentic AI Platform

Two95 International; George Town; On-site; MYR 120,000 - 240,000; Full time

Job summary

Two95 International in Penang, Malaysia, is seeking a Mid-to-Senior Full Stack Python Developer to build and extend an Agentic AI platform. You will own backend services and LLM workflows with emphasis on reliability and scalable architecture.

The role requires independent problem-solving, strong Python skills, and experience with FastAPI, stateful orchestration, and retrieval/scoring systems. You will collaborate across teams to deliver production-grade AI solutions and robust testing.

Qualifications

• Read, understand, and modify moderately complex Python modules (~300+ lines).
• Investigate and fill knowledge gaps via documentation; not rely on AI-assisted coding tools.
• Interpret existing systems and implement changes with minimal onboarding.

Responsibilities

• Develop and enhance backend services and agentic workflows for the AI platform.
• Design and maintain stateful, multi-step LLM pipelines and orchestration logic.
• Design, optimize, and maintain retrieval and scoring systems.

Skills

Python

Async/await

FastAPI

LLM workflows

Debugging

Testing

Workflow orchestration

Logging

Redis

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Full Stack Python Developer - Agentic AI Platform

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

• Writes clean, idiomatic Python using:
• 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
• 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)
• 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 workflow 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
• Familiar with log ingestion and analysis pipelines
• Chunking strategies
• Pattern extraction vs LLM reasoning
• When to use deterministic vs AI-based parsing

Infrastructure & Runtime

• Hands‑on experience with:
• Debugging container runtime issues
• Working knowledge of:
• Redis (basic operations, TTL, persistence)
• Enterprise networking concepts (e.g., proxies)

Frontend (Working-Level)

• Comfortable with:
• DOM manipulation
• Fetch APIs and event handling
• Able to implement UI changes from requirements (no design dependency)
• Strong code‑first discipline (understands design before coding)
• Built‑in focus on:
• Testing and validation
• Writes clean, incremental changes with clear commits
• Performs self‑review against acceptance criteria

Experience & Seniority

• Level: Mid to Senior Engineer
• Experience:
• ~4–8 years in Python development
• 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