Senior AI Engineer; Customer Facing

Looking for an experienced AI Engineer with strong applied machine learning fundamentals and hands-on experience building production‑grade AI systems. This is a customer‑facing role requiring both deep technical expertise and strong communication skills.

You will partner directly with enterprise clients to design, build, and deploy scalable AI solutions. You will serve as a technical expert, guide AI implementation strategy, and ensure successful delivery of intelligent systems in production environments.

• Partner directly with enterprise clients to understand requirements and design scalable AI solutions
• Architect and implement intelligent agent systems using frameworks such as Lang Chain, Lang Graph, or CrewAI
• Design and deploy Retrieval‑Augmented Generation (RAG) pipelines
• Build and integrate LLM‑powered applications using platforms such as GPT or Gemini
• Develop scalable backend services and APIs in Python
• Integrate AI solutions with enterprise systems (APIs, logs, data sources)
• Own projects end‑to‑end: data preparation, model development, deployment, monitoring, and optimization
• Collaborate with internal Engineering and Product teams to ensure seamless implementation
• Provide technical guidance to customers building on the Rapid Canvas platform

• 5+ years of experience in AI/ML engineering or backend systems
• Recent hands‑on experience building LLM or agent‑based systems
• Experience working in enterprise or client‑facing environments

• Experience building scalable backend services and APIs
• Solid foundation in machine learning, deep learning, and Generative AI
• Experience with LLM platforms (e.g., GPT, Gemini)
• Experience with agent frameworks (Lang Chain, Lang Graph, CrewAI)
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)

• Strong communication and stakeholder management skills
• Ability to manage multiple projects independently
• Solution‑oriented mindset with strong architectural thinking

• Experience with AWS, Azure, or Google Cloud
• Familiarity with MLOps practices
• Experience in AI services or startup environments

Support enterprise customers in adopting and scaling AI solutions by partnering closely to translate business needs into practical, high‑impact technical implementations. Work collaboratively to design, develop, and deploy machine learning and AI applications using the platform, ensuring solutions align with customer objectives and deliver measurable value. Contribute to end‑to‑end AI initiatives — from problem definition through deployment — while maintaining a strong focus on scalability, reliability, and real‑world impact.

We are an enterprise AI platform helping organizations unlock value from their data by combining autonomous AI agents with human expertise. Our platform enables companies to build and deploy enterprise‑grade AI solutions faster and more cost‑effectively than traditional approaches, delivering measurable outcomes across industries such as manufacturing, retail, financial services, and infrastructure.

Our mission is to make advanced AI accessible to every organization—not just teams with large data science departments or deep technical resources.