Senior AI Engineer

Role & responsibilities

Engineering

• Design, develop, and debug AI-powered applications agents, RAG pipelines, LLM integrations, and multi-agent systems
• Lead end-to-end product development for Skylarn’s enterprise client projects
• Contribute to and expand Skylarn’s reusable AI Skills Library
• Write clean, production-ready code with strong review discipline
• Define and enforce technical architecture standards across projects

Training & Mentorship

• Deliver structured AI engineering training to cohorts of junior engineers
• Design hands-on coding exercises and real-world project assignments
• Onboard trained junior engineers into live client project delivery
• Track progress, identify skill gaps, and provide targeted coaching

Leadership

• Collaborate directly with founders on product strategy and technical direction
• Present technical solutions to enterprise clients with clarity and confidence
• Drive sprint planning, code reviews, and delivery milestones

Preferred candidate profile

Required

• 1+ years of hands-on AI/ML engineering experience (LLMs, RAG, agents, fine-tuning, or similar)
• Strong Python proficiency; experience with LangChain, LlamaIndex, OpenAI SDK, Azure AI, or comparable frameworks
• Proven ability to design, debug, and deliver production-grade AI systems
• Comfort teaching and explaining complex AI concepts to junior engineers
• Excellent verbal and written communication you will train engineers and engage enterprise clients

Nice to Have

• Experience with multi-agent architectures (CrewAI, AutoGen, or custom)
• Azure or AWS AI/ML certifications
• Prior experience delivering technical training or curriculum design
• Exposure to enterprise software delivery or consulting environments
• Familiarity with C# or TypeScript in addition to Python