Full Stack Engineer - Python/.Net/AngularJS

Description :

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 to 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.