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)
- Solid 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

📌 Senior AI Engineer (Hyderabad)
🏢 Skylarn Ai Technologies
📍 Hyderabad