Artificial Intelligence Backend Systems Engineer

4 days ago

Delhi, Delhi, India beBeeBackend Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About Our Job Opportunity :

We are seeking a seasoned Senior Engineer to join our team developing an advanced AI solution for a prominent client. This role requires someone with extensive experience designing and building scalable, high-performance backend systems, along with exposure to developing AI-based solutions. You will work on integrating large language model (LLM) capabilities into business workflows, collaborating closely with a global team including a Senior AI Architect.

This is a high-impact engineering position ideal for someone who has previously built AI-enabled systems in production and thrives in a fast-paced environment. You will be part of a small team of developers working closely with a Senior AI Architect and Client technical personnel. This role demands working with some US time-zone overlap for communication and collaboration.

Key Requirements & Skills :

  • 6+ years in backend software design and development, with at least 2 years working on AI-based systems & solutions
  • Strong expertise in Python development with proven experience designing and building scalable, high-performance backend systems using Python, and deep knowledge of FastAPI, Flask, and other similar Python frameworks.
  • Experience developing and maintaining connectors to third-party APIs, ensuring secure, reliable, and efficient data exchange.
  • Proficiency in deploying to the cloud (AWS/GCP/Azure) using infrastructure components like Docker, Kubernetes etc.
  • Expertise working with AI-assisted development tools (e.g., GitHub Copilot, Claude Code etc.) and using human-in-the-loop review processes to ensure code safety and reliability.
  • Strong grounding in the software engineering lifecycle, with knowledge of clean architecture, testing strategies, version control, CI/CD, and cloud-native backend engineering best practices.
  • Experience working with AI frameworks or libraries (Transformers, LangChain, OpenAI APIs etc.) and hands-on experience developing AI-powered systems is highly valued.
  • Exposure to integrating Retrieval-Augmented Generation (RAG) systems and experience implementing agent workflows/protocols (e.g., MCP) is a plus.
  • Ability to work in a rapidly iterative, experiment-driven environment with a tightly knit, cross-functional team.

Key Responsibilities :

  • Collaborate with senior members in the team to design integrations as per requirements and deploy these into the solution workflows.
  • Develop integrations into various source and output systems using APIs, protocols like MCP, and other available interfaces.
  • Work with data engineers & AI engineers to integrate the core LLM solution and data platform with the API infrastructure.
  • Drive the usage of AI coding assistants or agentic coding tools in the team, while establishing appropriate development & coding processes and standards.
  • Participate in reviewing the code developed for applications, including APIs and services built on LLMs to ensure robustness and reliability.
  • Contribute to establishing engineering best practices and standards for performance, code quality, and reliability.

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