Zemoso is a unique services organization that specializes in early-stage initiatives and solves tough technology problems. We partner with startups, Fortune 500 companies, and mid-sized organizations on digital transformation, business model transformation, and new product development initiatives. We bring an expert understanding of how a focus on usability works with mature engineering practices to deliver the best outcomes for our customers. Every member of our team showcases accountability and ownership.
As a services organization, our people are our strongest asset. Therefore, we are committed to their career progression. Our Talent Nurture team organizes bootcamps, provides external resources, and hosts tailored workshops. We work on the most cutting-edge solutions, ensuring that our people stay up-to-date with the latest processes, technologies, and tools.
Location
Bangalore
Responsibilities
GenAI Solution Development
Build and deploy GenAI-powered features within real-world products, spanning backend (Python — Django/FastAPI)
Design and implement RAG pipelines, including:
Embeddings
Vector databases
Retrieval strategies
Integrate GenAI capabilities with backend systems via APIs and services
Build responsive, GenAI-integrated UI/UX components in React to surface AI-driven features to end users
System & Solution Ownership
Own GenAI solutions end-to-end, from design to production rollout — across backend, frontend, and AI layers
Design RAG architectures and decide:
Chunking strategies
Retrieval approaches
Handle ambiguous requirements and convert them into working, shippable solutions
Reliability, Quality & Performance
Address latency, cost, and evaluation considerations in GenAI systems
Implement guardrails and safety mechanisms
Contribute to monitoring and basic operational readiness
Agentic AI (Core Focus)
Work hands-on with agent frameworks to design and deploy production-grade agentic systems (deep research not required, but practical build experience expected)
Build and own agent-based workflows, including:
Multi-step reasoning flows
Tool/function calling
Orchestrated GenAI
Mentoring & Collaboration
Mentor junior engineers working on GenAI components
Review GenAI-related code and designs, across both backend and frontend implementations
Collaborate closely with backend, frontend, data, and product teams
