Senior AI Full Stack Engineer (Contract)

Company Description

BIMora builds applied AI systems that integrate:

Large Language Models (LLMs)

Agentic orchestration workflows

Retrieval-Augmented Generation (RAG)

Structured tool-calling pipelines

Secure multi-system integrations

We focus on production-grade AI infrastructure that supports real operational workflows and we are building modular AI platforms designed for scalability and long-term evolution.

Role Description

We are looking for a senior-level AI systems engineer who can design and implement reliable, production-ready LLM applications.

You will work directly with the Managing Director (Product & Technical Lead) to architect and build:

Multi-agent orchestration systems

RAG-based knowledge pipelines

Secure backend APIs

Execution-traceable AI workflows

Modular AI infrastructure for future expansion

This role requires strong ownership. You must be capable of making architectural decisions and executing independently.

Key Responsibilities

LLM & AI Engineering

Design and implement RAG pipelines (chunking, embedding, retrieval tuning)

Build structured tool-calling workflows with validation layers

Implement agentic orchestration (LangGraph or equivalent frameworks)

Design memory and context management strategies

Reduce hallucination through grounding and output enforcement

Optimize for token efficiency, latency, and cost

Backend Development

Build modular APIs using Python (FastAPI preferred)

Design and manage relational databases (PostgreSQL)

Implement authentication and role-based access control

Integrate third-party APIs (Google, Microsoft, etc.)

Implement structured logging and execution tracing

Deployment & Production

Deploy scalable services to AWS / Azure / GCP

Manage environment separation (dev / staging / production)

Implement monitoring and reliability safeguards

Ensure secure data handling and API key management

Qualifications

• 3+ years backend development experience
• 1+ year building LLM-based production systems
• Proven experience implementing RAG pipelines
• Experience with vector databases (Pinecone, Weaviate, Supabase, etc.)
• Experience with LangChain / LangGraph or equivalent orchestration tools
• Strong Python proficiency
• Experience with REST API design
• Database schema design experience (PostgreSQL)
• Experience deploying production systems to cloud

Engagement Type:

Part-Time Contract

Duration:

4-5 months (renewable based on performance and project continuity)

Salary Rate:

RM 150 - RM 200 / hour (Depends on experience)

60 - 80 hours / month

Start Date:

Flexible (Immediate preferred)