Artificial Intelligence Engineer

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Full-time

Bangalore / Bengaluru, Karnataka, India (Hybrid)

About Us

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 / Bengaluru, Karnataka, India (Hybrid)

Responsibilities
  • Build and deploy GenAI-powered features within real-world products
  • Design and implement RAG pipelines, including embeddings, vector databases, and retrieval strategies
  • Integrate GenAI capabilities with backend systems via APIs and services
  • Own GenAI solutions end-to-end, from design to production rollout
  • Design RAG architectures and decide chunking strategies and retrieval approaches
  • Handle ambiguous requirements and convert them into working solutions
  • Address latency, cost, and evaluation considerations in GenAI systems
  • Implement guardrails and safety mechanisms
  • Contribute to monitoring and basic operational readiness
  • Build or work with agent-based workflows, including multi-step reasoning flows, tool/function calling, and orchestrated GenAI interactions
  • Mentor junior engineers working on GenAI components
  • Review GenAI-related code and designs
  • Collaborate closely with backend, data, and product teams
Required skills and qualifications
  • Overall experience: 4–6 years
  • Core engineering background: Java / Node.js / Python / .NET
  • GenAI experience: 1–2 years of hands-on, production-level experience
  • Strong backend engineering experience in Java / Node.js / Python / .NET
  • Hands-on experience building GenAI applications in production
  • Experience with RAG pipelines, vector databases, LLM APIs, and Agentic AI
  • Solid understanding of API design and backend integrations
  • Ability to reason about trade-offs in performance, cost, and reliability
Good to have
  • Exposure to agent frameworks is a plus, but deep research is not expected
  • Familiarity with evaluation frameworks for GenAI
  • Exposure to cloud-native deployments
  • Experience mentoring junior engineers
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