Full stack Python Engineer

We are looking for a Full-Stack Python Engineer with strong backend skills and hands-onexperience working with Django, LLM toolchains, and modern deployment workflows
Youwill work closely with founders to architect features, build prototypes, review code, set upinfra, and bring new products to life This role is ideal for someone who loves experimenting, has hacked together productsbefore, and can balance rapid iteration with technical quality Key ResponsibilitiesBackend & Full-Stack Development Build scalable backend services using Python/Django Implement RESTful APIs and integrate authentication frameworks (JWT, OAuth,custom token flows) Design clean, extensible database schemas and ensure optimized queries Build quick prototypes using Gradio or Streamlit when needed LLM / Applied AI Development Work with applied LLM ecosystems like LangChain, Crew AI, LlamaIndex, or similar Integrate and experiment with LLM orchestration, agents, tools, retrieval pipelines,etc Implement vector search workflows using Pinecone, Weaviate, Chroma, or similarDBs Stay updated with modern stack: vLLM, Ollama, quantization techniques,embeddings, etcDevOps & Deployments Set up and manage deployments using:o Docker, GitHub Actions (CI/CD)o Nginx (reverse proxy, SSL, routing)o GCP - Cloud Run, Compute Engine (VMs), logging & monitoring Ensure reliable environments, versioning, and automated workflows Architecture, Reviews & Debugging Participate in code reviews, architectural discussions, and technical decision-making Debug APIs, backend systems, and infra issues using CLI tools, logs, and consoles Maintain high coding standards while shipping quickly Startup Mindset Comfort wearing multiple hats: backend, infra, quick frontend fixes, scripts Ability to own features end-to-end idea design implementation deployment Proactive, curious, and willing to experiment with new tools and frameworks Required SkillsCore Technical Skills Strong proficiency in Python and frameworks like Django or Django REST Framework Experience with LLM pipelines (LangChain, Crew AI, or equivalent) Hands-on with Gradio/Streamlit for rapid prototyping Knowledge of vector databases and modern LLM deployment technologies (vLLM,Ollama) DevOps & Deployment Skills Docker, GitHub Actions (CI/CD) Nginx configuration GCP: Cloud Run, VMs, load balancers, service accounts, configsEngineering Fundamentals Strong understanding of:o Database schema designo Authentication frameworkso API design and debuggingo Code reviews and version control best practicesBonus Skills (Nice to Have) Experience hacking or shipping your own mini-products / side projects Knowledge of:o Frontend basics (React/Next js)o Monitoring tools (Prometheus, Grafana, GCP Logs)o GPU workloads, model fine-tuning basicsWhat We Offer Opportunity to build real products from scratch not just maintain legacy code High ownership, fast execution, and direct impact on product roadmap Collaborative environment with founders who ship alongside you Flexible work culture + growth path into senior engineering