Python Developer - Agentic AI Platform
LocationGeorge Town, Penang, Malaysia
Typefull-time
SenioritySenior
Experience4–8 yrs
Company size1,001–5,000 people
PostedJun 6, 2026 · 4mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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
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)
Strong in handling failure modes (timeouts, malformed outputs)
Understanding of RAG systems: chunking, embeddings, similarity scoring
Must be able to quickly learn graph/state concepts and implement multi-step workflows within 1–2 weeks
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
Understands chunking strategies, pattern extraction vs LLM reasoning, when to use deterministic vs AI-based parsing
Hands-on experience with Docker / Docker Compose (volumes, dependencies, health checks)
Hands-on experience with debugging container runtime issues
Working knowledge of Redis (basic operations, TTL, persistence)
Working knowledge of enterprise networking concepts (e.g., proxies)
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)
~4–8 years in Python development
Proven track record delivering production systems
Experience with stateful orchestration frameworks preferred
Experience with LLM-based or AI platforms preferred
Skills
Python
FastAPI
LangGraph
Docker
Docker Compose
Redis
HTML
Vanilla JavaScript
About the role
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.
Requirements
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
Responsibilities
Key Responsibilities
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Develop and enhance backend services and agentic workflows for the AI platform
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Build stateful, multi-step LLM pipelines and orchestration logic
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Design, optimize, and maintain retrieval and scoring systems
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Debug production issues using logs, traces, and system behavior
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Collaborate across teams to deliver scalable and reliable AI-driven solutions
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Implement incremental changes with strong testing and validation practices
Technical Requirements
Python (Senior Level)
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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)
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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
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Strong code-first discipline (understands design before coding)
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Built-in focus on:
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Testing and validation
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Log-driven debugging
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Writes clean, incremental changes with clear commits
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Performs self-review against acceptance criteria
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Asks focused, implementation-driven questions
Experience & Seniority
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Level: Mid to Senior Engineer
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Experience:
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~4–8 years in Python development
•
Proven track record delivering production systems
•
Experience with LLM-based or AI platforms preferred
Ideal Candidate Profile
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Highly independent problem-solver
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Strong systems thinker (not just feature coder)
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Comfortable working in low-AI-assist environment
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Bias toward execution, debugging, and delivery quality
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