AI Engineer (Junior/Mid-Level)

Our client is one of Vietnam’s leading AI technology companies, backed by FPT Corporation and Thien Viet Investment Fund (TVS). We are committed to developing world-class AI products for both domestic and international markets. Our technology portfolio includes Voice AI, Speech Recognition, Voice Biometrics, Sentiment Analysis, Natural Language Processing (NLP), and other AI-powered solutions. With a talented team and a culture of innovation, collaboration, and continuous learning, our mission is to build world-class AI products made in Vietnam and bring them to the global market. Job Summary We’re looking for a hands-on a Middle AI Engineer to design and productionize agenticvoicebot and chatbot systems powered by LLMs, computer vision, speech tech, and vector databases. You’ll build autonomous agents that can reason, retrieve, and act—turning real workflows into reliable, scalable GenAI products used by real users. This is a true builder role for someone who enjoys taking ideas from notebooks to production. You’ll work closely with Software Engineers and AI Engineers to integrate agent workflows into our systems and shape how our agents interact with tools, memory, knowledge bases, APIs, and humans.

• Design and improve LLM-powered agents for task planning, execution, retrieval, and memory.
• Build modular agent stacks using frameworks like LangChain, CrewAI, AutoGen, or custom orchestrators.
• Develop workflows that connect agents to APIs, computer vision models, and vector databases.
• Lead prompt engineering, RAG pipelines, and multi-agent coordination strategies.
• Collaborate with engineers to productionize agents with proper observability.
• Evaluate agent behavior through logging, telemetry, and custom evaluation tools.
• Contribute to architecture patterns such as task workflows, tool interfaces, memory optimization, and feedback handling.
• Work with infrastructure teams to deploy agentic systems to production, ensuring monitoring, scaling, and rollback safety.

• Requirements
• Must-have
• 2+ years building LLM-driven applications.
• Strong Python skills with experience in reusable agent stacks or RAG pipelines.
• Hands-on with LLM APIs (OpenAI, Anthropic, HuggingFace, etc.) and building prompt/tool workflows.
• Experience integrating vector databases (Weaviate, FAISS, Qdrant, Pinecone, Elasticsearch).
• Experience shipping AI tools or services into production with containerization and cloud platforms (Docker, Kubernetes, GCP/AWS).
• Understanding of agent design (memory management, context management, tool contracts).
• Preferred Qualifications
• Experience with agent evaluation, prompt testing, and reducing hallucinations/latency.
• Experience building simple interfaces with Streamlit, Gradio, or browser automation.