AI Engineer

Drive AI Innovation, Deliver Intelligent Solutions, Mentor Future Tech Leaders

Remote United State Full Time

Location: Remote – United State
Timezone Flexibility: Occasionally working during US business hours to collaborate with global teams.
Communication: Ability to communicateclearly and effectivelyinEnglish.

We are building an AI platform that turns conversations into bookings—voice, chat, SMS. You’ll work on real-time, AI-assisted agents that qualify leads, book jobs, and sync seamlessly with CRMs.

What You’ll Bring to the Table

• LLM Engineering Expertise – Deep knowledge of prompt crafting, RAG, LLMs, multi-agent systems, and real-world AI integration.
• Hands-On Production Experience – At least 1 year working with LLM-based systems in live environments, especially chatbots/voicebots and multi-agent deployments.
• Tool Proficiency – Comfortable using LangSmith , Langfuse , Promptfoo , or similar platforms to monitor, debug, and optimize LLM performance.
• Analytical Problem Solver – Skilled at identifying failures, optimizing edge cases, and fine-tuning prompt/context logic.
• Passion for GenAI – Constantly learning and experimenting with AI advancements, tools, and system design.
• Experience with multi-turn conversations and agent-like behaviors.
• Understanding of customer service workflows or home services.
• Background in designing systems that interface with end-users at scale.
• Ability to communicate clearly and effectively in both spoken and written English is essential. Certification such as IELTS is optional.

What You’ll Be Doing

• Prompt & Context Engineering – Design, refine, and optimize advanced prompts and contextual flows for LLM agents, including multi-agent setups for seamless collaboration.
• LLM Performance Tuning – Develop evaluation workflows and benchmarks to fine-tune prompt effectiveness, RAG strategies, memory systems, and multi-agent logic.
• Scalable Experimentation – Use tools like LangSmith , Promptfoo , or Langfuse to test, version, and analyze prompt variations at scale.
• Deploy AI to Production – Work closely with engineering, QA, and product teams to embed LLM systems into production voicebots/agents that deliver high-quality customer experiences.
• Data-Driven Iteration – Leverage telemetry, user logs, and agent behavior data to continuously improve system performance and interaction quality.
• Stay Ahead of the Curve – Explore the latest in GenAI – ReAct , CoT , RAG , multi-agent frameworks , and emerging best practices in LLM engineering.

Why You’ll Love Working Here

• Competitive salary based on experience, with annual performance reviews.
• 13th-month salary plus profit-sharing opportunities.
• 12 days of annual leave to recharge and relax.
• 40-hour work week with flexible working hours.
• Annual company trips and birthday celebrations.
• Clear career growth path with room for advancement.
• Supportive, high-tech U.S. working environment equipped with modern tools and global exposure.
• Continuous learning opportunities in both technical and soft skills.