AI Engineer (Agentic Voicebot & Chatbot)

freeC's Client

We're looking for a hands-on a AI Engineer to design and productionize agentic voicebot 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.

Responsibilities

• 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.

Job requirement

Must-Have Skills

• 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).
• Familiarity with multi-agent orchestration (CrewAI, AutoGen, LangGraph, or custom).
• 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).

Bonus Skills

• Experience with agent evaluation, prompt testing, and reducing hallucinations/latency.
• Experience building simple interfaces with Streamlit, Gradio, or browser automation.

• Competitive salary, negotiable based on experience and skill level.
• Performance-based bonuses and potential stock options.
• Flexible work (remote/hybrid options) within a young, tech-driven culture.
• Rapid career growth: Leadership opportunities and international exposure (e.g., Japan, USA).
• Premium insurance (health, social, unemployment) in accordance with FPT standards.
• Engaging company culture with team-building activities, sports, and retreats.
• Equipment provided based on work requirements up to USD 2,500.