AI Engineer

Job description

Summary

We are seeking a talented and motivated AI Engineer in Malaysia and Indonesia to join our dynamic team. The ideal candidate will have hands-on experience building LLM-powered applications, implementing agentic AI workflows, and integrating AI into production environments. You will work on projects involving LangChain, LangGraph, LangFlow, LangFuse, vector databases, embeddings, prompt engineering, and multi-agent systems. A strong understanding of both AI model orchestration and application-level deployment is essential. If you are passionate about AI, automation, and delivering production-ready intelligent systems, we would love to meet you. Please reach out to our Talent Acquisition at lutfi.yulia@develab.io

Key Responsibilities

• Design, implement, and maintain AI-powered applications using LLMs (e.g., OpenAI, Anthropic, Mistral, LLaMA, Claude, Gemini).
• Develop agentic AI workflows with LangChain and LangGraph, enabling multi-step reasoning, memory, and dynamic tool usage.
• Create interactive AI applications using LangFlow for visual orchestration and LangFuse for observability, debugging, and analytics.
• Integrate vector databases (Pinecone, Weaviate, Milvus, ChromaDB, etc.) for embedding storage, semantic search, and retrieval-augmented generation (RAG).
• Build robust prompt engineering frameworks and prompt optimization strategies to ensure accuracy, reliability, and consistency in AI responses.
• Implement and optimize retrieval pipelines combining embeddings, search algorithms, and metadata filtering.
• Develop multi-agent AI systems with specialized roles, inter-agent communication, and autonomous task planning.
• Utilize Docker and Kubernetes for containerization, orchestration, and scaling AI workloads across environments.
• Collaborate with backend teams to integrate AI services via RESTful APIs or gRPC.
• Monitor, log, and fine-tune AI models in production using observability tools like LangFuse, Weights & Biases, or OpenTelemetry.
• Apply AI safety best practices, guardrails, and policy-based filtering to ensure responsible deployment.
• Conduct performance tuning of AI pipelines for latency, throughput, and cost optimization.
• Stay up-to-date with emerging AI frameworks, research papers, and model releases.

Qualifications

• Proven experience in building LLM applications with frameworks like LangChain, LangGraph, and LangFlow.
• Strong knowledge of agentic AI concepts, including planning, reasoning, tool usage, and long-term memory.
• Hands-on experience with LangFuse or similar AI observability platforms.
• Proficiency in Python (FastAPI, Flask, or Django) for backend integration of AI services.
• Experience with vector databases (Pinecone, Weaviate, Milvus, ChromaDB) and embedding models.
• Understanding of RAG pipelines, semantic search, and knowledge base construction.
• Experience with Docker and Kubernetes for deploying scalable AI applications.
• Familiarity with CI/CD pipelines (GitLab, GitHub Actions) for AI deployment.
• Knowledge of prompt engineering techniques and model fine-tuning workflows.
• Strong debugging skills with tools like LangFuse, Postman, and Python debuggers.
• Ability to work in a remote, fast-paced environment, both independently and collaboratively.

Must have technical skills

• LLM frameworks: LangChain, LangGraph, LangFlow
• Agentic AI concepts: planning, reasoning, tool usage, memory
• Observability: LangFuse or similar
• Backend: Python (FastAPI, Flask, Django)
• Vector databases: Pinecone, Weaviate, Milvus, ChromaDB
• RAG pipelines, semantic search
• Containerization & orchestration: Docker, Kubernetes
• CI/CD pipelines: GitLab, GitHub Actions
• Prompt engineering & model fine-tuning
• Debugging tools: LangFuse, Postman, Python debuggers

Good to have technical skills

• Model fine-tuning (LoRA, PEFT, QLoRA)
• Multi-modal AI applications (text, image, audio)
• Agentic orchestration frameworks: CrewAI, AutoGPT, BabyAGI, OpenAI Assistants API
• AI cost optimization strategies (token budgeting, hybrid model routing)
• Cloud AI services: AWS Bedrock, Azure AI, Google Vertex AI
• Open-source AI project contributions

Must have soft skills

• Strong communication skills to articulate complex AI concepts to technical and non-technical stakeholders
• Ability to work independently and collaboratively in a remote, fast-paced environment