Overview
Lead Full Stack Developer (Azure + AI + LLaMA Integration)
Location: Noida
Experience: 7–10 Years
Type: Full-Time | Immediate Joiner
Industry: AI-Powered Platforms | Web & Mobile Development | Cloud Applications
About the Role
Servoedge Technologies is building next-gen AI-powered digital platforms with high user engagement. We are looking for a hands-on Lead Developer to architect and deliver scalable, intelligent web and mobile apps. This role requires expertise in Microsoft technologies, cloud-native development, and LLM integration (OpenAI / LLaMA).
You’ll lead a cross-functional team and collaborate directly with the founders to bring innovation to life.
Key Responsibilities
- Architect full-stack platforms using .NET Core / Python / JavaScript.
- Develop cloud-native apps on Microsoft Azure (App Services, Azure Functions, Blob Storage).
- Integrate LLMs like OpenAI GPT and Meta's LLaMA models into business workflows for chat, summarization, automation, etc.
- Build scalable APIs and microservices using REST, GraphQL, and integrate AI pipelines.
- Lead and mentor a team of developers through Agile sprints and code reviews.
- Own deployment pipelines, security best practices, and performance tuning.
Must-Have Skills
- 7+ years of development experience across .NET Core and/or Python.
- Proven experience building SaaS or high-traffic apps on Azure Cloud.
- Strong understanding of LLM integration (OpenAI, LLaMA 2/3, or similar).
- Ability to work with Hugging Face, Ollama, LangChain, or open-source AI libraries.
- Familiar with REST APIs, authentication protocols (OAuth2/JWT), and DevOps pipelines.
Good to Have
- Familiarity with containerized LLaMA deployments (e.g., Ollama, Docker, Kubernetes).
- Experience using LangChain, Transformers, or llama.cpp to embed AI into apps.
- Previous experience with cross-platform mobile frameworks (React Native, Flutter).
- Experience working in startup or product-led environments.
What’s in it for You
- Ownership of core AI platform modules
- Freedom to propose and implement AI use cases
- Competitive pay + leadership track
- Work with a team deeply focused on Enterprise AI Adoption
Job Type: Full-time
Schedule:
- Day shift
- Monday to Friday
Work Location: In person