Lead FullStack Engineer

Team Scope:
Backend Frontend AI/ML Dev Ops

Experience Level: 6–10 Years

Key Stack :
Node.js (primary) Python Type Script React/Next.js

We are looking for a seasoned AI Full Stack Tech Lead to own the technical direction of our product engineering team. Inspired by profiles like senior engineers with a track record across backend services, frontend delivery, and AI product integration — this role demands both depth and breadth. You will architect and build backend systems in Node.js, ship full-stack features using React/Next.js,

integrate AI capabilities (LLMs, automation, data pipelines), and lead a cross-functional team of backend, frontend, and AI engineers. You bring a strong AI-first mindset and actively leverage AI coding tools to elevate team velocity.

• You are not just a backend engineer — you lead end-to-end: API, UI, and AI
• AI is core to the product, not a side feature — LLM integration is day-one work
• You actively use AI coding assistants (Copilot, Cursor, Claude Code) and champion them across the team
• You will shape architecture decisions that directly affect product performance and customer experience

• Design and own scalable backend systems using Node.js — REST APIs, microservices, event-driven architecture
• Build Python-based services for data pipelines, ML integration, and automation workflows
• Architect database schemas and storage strategies across SQL (PostgreSQL) and No
  
  SQL (MongoDB, Redis)
• Own observability: structured logging, monitoring, alerting, and performance profiling in production
• Drive CI/CD pipelines, infrastructure-as-code, and Dev Ops best practices across the team

• Build and review frontend features using React / Next.js and Type Script
• Define frontend architecture standards: component design, state management, API integration patterns
• Collaborate with designers and product managers to deliver polished, performant user-facing features
• Ensure frontend quality through code reviews, performance audits, and cross-browser compatibility

• Integrate LLM APIs (OpenAI, Anthropic, open-source models) into product features
• Design and implement RAG pipelines, prompt engineering workflows, and AI-powered automation
• Work with the AI research team on model serving, embedding pipelines, and vector search (e.g. pgvector, Pinecone)
• Own reliability and cost tradeoffs for AI features in production — latency, token budgets, fallback strategies

• Lead a cross-functional team of backend, frontend, and AI engineers — day-to-day technical direction
• Conduct regular code reviews, architectural reviews, and technical design sessions
• Mentor engineers at all levels; define team engineering standards and growth paths
• Own the technical roadmap and translate product requirements into clear engineering plans
• Champion AI coding tools across the team — establish best practices for AI-assisted development

• Node.js — 6+ years, expert level
• Type Script — strong, production experience
• REST API & GraphQL design
• PostgreSQL / MySQL — schema design & tuning
• AWS / GCP / Azure — cloud-native services
• CI/CD — Git Hub Actions, pipelines, IaC
• AI coding tools — Copilot, Cursor, or similar
• System design & architectural decision-making
• Agile / iterative product delivery
• Cross-functional team leadership (5+ engineers)
• LLM API integration (OpenAI / Anthropic)
• Docker & Kubernetes
• MongoDB / Redis / caching strategies
• Microservices & distributed systems
• React / Next.js — full stack delivery
• Python — proficient (FastAPI, Django, scripts)

• AI/ML frameworks:
  Lang Chain, Llama Index, Hugging Face, open-source LLMs (Mistral, LLaMA)

• Vector databases:
  Pinecone, Weaviate, Qdrant, or pgvector for RAG pipelines

• Data engineering: ETL pipelines, data streaming (Kafka), or time-series systems

• Dev Ops depth:
  Terraform, Helm, advanced Kubernetes, or observability platforms (Datadog, Grafana)

• Product sense:
  Experience working on AI-native or automation-first products

• Open source:
  Active contributions to open source projects or a visible technical portfolio

… more