AI Project - Hulu Kelang - Freelancing

    Freelancing
    Freelancing Hulu Kelang

    11 hours ago

    Description

    Develab is an IT consulting company operating in Malaysia, Singapore and Indonesia. We continuously seek innovation with a mission to help businesses realize their dreams with quality digital solutions and affordable IT consulting services. Our core services are Software Development, IT Consultancy, Project Management and Cloud Computing. Website: develab.io

    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. Apply now: lutfi.yulia@develab.io

    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.

    Requirements

    • 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.

    Preferred to Have

    • Experience with model fine-tuning (LoRA, PEFT, QLoRA) and custom dataset preparation.
    • Exposure to multi-modal AI (text, image, audio) applications.
    • Knowledge of agentic orchestration with frameworks like CrewAI, AutoGPT, BabyAGI, or OpenAI Assistants API.
    • Familiarity with AI cost optimization strategies (token budgeting, hybrid model routing).
    • Hands-on experience with cloud AI services (AWS Bedrock, Azure AI, Google Vertex AI).
    • Contributions to open-source AI projects.
    • Strong communication skills with the ability to articulate complex AI concepts to both technical and non-technical stakeholders.

    Freelancing Malaysia@2025 Managed by Heyram Solutions 201103052949 (PG0278884-P)

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