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About the role
AI Lead (Backend Systems & Architecture)
This is not a feature-delivery role. This is an architecture, ownership, and AI systems leadership role .
At Techjays, we build production-grade AI platforms for global clients. We are looking for an AI Lead with strong backend engineering expertise —someone who can design, scale, and take complete ownership of intelligent systems end-to-end.
You will operate at the intersection of backend engineering, distributed systems, and applied AI , driving both technical direction and execution.
What You’ll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement AI workflows such as RAG pipelines, agents, and LLM integrations
- Own systems end-to-end: architecture, development, deployment, and scaling
- Build reliable, high-performance distributed systems
- Integrate and optimize LLMs (Claude, GPT, etc.) for real-world use cases
- Lead backend and AI initiatives with strong technical ownership
- Ensure performance, scalability, observability, and cost efficiency
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to build AI-native solutions
What We’re Looking For
- Proven experience in architecting and scaling backend systems end-to-end
- Strong expertise in Python (Django / Flask / FastAPI)
- Deep understanding of distributed systems and system design
- Hands-on experience with AWS or GCP in production environments
- Solid experience working with LLMs (Claude, GPT, etc.)
- Strong knowledge of:
- Retrieval-Augmented Generation (RAG)
- Vector databases (Pinecone, FAISS, Weaviate, etc.)
- Experience in building and managing microservices architectures
- Ability to lead teams, mentor engineers, and drive technical excellence
- Strong problem-solving skills with an ownership mindset
Nice to Have
- Experience building AI agents or autonomous systems
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- Understanding of MLOps and AI system lifecycle
- Experience optimizing AI systems for latency, cost, and scalability
Who You Are
- You think in systems, not just features
- You take full ownership of what you build
- You are comfortable in fast-moving, ambiguous environments
- You stay updated with the latest advancements in AI and backend technologies
This role is ideal for someone who wants to lead, build, and scale AI-powered backend systems in production while driving real-world impact.
Skills required