Skylarn AI Technologies is AI-native enterprise services company. We build agentic software, reusable AI Skills Libraries, and deploy forward-deployed engineers to help enterprises transform their software delivery. We operate at the intersection of AI training, product engineering, and enterprise transformation.
ROLE OVERVIEW
We are hiring two Senior AI Engineers who will wear three hats: builder, trainer, and tech lead. You will design and ship production AI systems, deliver structured AI training to junior engineers, and lead product development for Skylarn's enterprise client projects. This is a ground-floor opportunity to shape both our product and our people.
WHAT YOU WILL DO
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
WHAT YOU BRING
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
WHY JOIN SKYLARN AI
· Ground-floor impact — Employee #3 and #4; your decisions shape the company's culture and codebase
· Full lifecycle exposure — work across training delivery, product engineering, and client deployment
· AI-first environment — every project is AI-native; no legacy codebase, no bureaucracy
· Career acceleration — fast path to tech lead, architect, or training lead roles
· Equity upside — competitive compensation plus early-employee equity participation
Location —Hyderabad — India's premier AI and tech hub
Pay: ₹300,000.00 - ₹500,000.00 per year
Benefits:
Work Location: In person
