Full Stack Engineer (GenAI)

We're looking for a Senior Full-Stack Engineer who can build large-scale, cloud-native systems and integrate Generative AI (LLMs, embeddings, vector DBs, RAG) into real-world security automation products. You'll design, develop, and scale high-performance SaaS features used globally by security teams handling millions of alerts per day.
Responsibilities:
Architect and build major subsystems for the next-gen AI-driven security automation platform.
Integrate GenAI components (LLMs, embeddings, vector DBs) into orchestration workflows for faster incident triage.
Build intuitive APIs and AI-first integrations with third-party ecosystems.
Develop natural-language interfaces, intelligent summarization, and auto-remediation features using GenAI.
Convert AI/ML/GenAI proofs-of-concept into production-grade features.
Drive engineering best practices across full-stack development, MLOps, testing, and responsible AI.
Mentor junior engineers and collaborate with global cross-functional teams.
Requirements:
4-8 years of software development experience, with strong exposure to distributed systems.
Strong in algorithms, data structures, system design, and architectural patterns.
Hands-on expertise in C#/. NET Core, NodeJS, TypeScript, Angular, Python.
Experience with SQL/NoSQL and vector databases.
Proven experience building GenAI/LLM-based applications (prompt engineering, RAG, fine-tuning).
Knowledge of real-time systems (WebSockets, SignalR).
Strong AWS + Kubernetes + Terraform experience.
Familiarity with MLOps pipelines and observability for GenAI systems.
Excellent communication and collaboration skills.
Nice to Have:
Cybersecurity or security automation experience.
Experience with LLMOps, responsible AI, or AI governance.
Open-source contributions in AI/GenAI.
Tech Stack:
Backend: C#, . NET Core, Node.js, Python.
Frontend: TypeScript, Angular.
Databases: MongoDB, Postgres, MySQL, Vector DBs (Pinecone / Weaviate / Milvus).
Cloud & Infra: AWS, Kubernetes, Terraform.
AI/GenAI: LangChain, OpenAI/Anthropic APIs, Hugging Face, RAG pipelines, fine-tuning, MLOps.

Experience
7-10 yrs