Sr Backend Python + GEN AI

6 - 10 years

20 - 30 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

About the Role

Senior Back-End Engineer

Key Responsibilities

  • Architect, develop, and maintain scalable back-end services and APIs for SAAS products.
  • Integrate AI/ML models and APIs—including Claude (Anthropic), OpenAI, Hugging Face, and custom models—into production systems.
  • Ensure secure-by-design architecture: implement best practices in authentication, authorization, encryption, and data privacy.
  • Optimize application performance, reliability, and scalability on cloud platforms (AWS, Azure, GCP).
  • Collaborate with front-end engineers to ensure seamless end-to-end delivery; make minor UI changes as needed.
  • AI Agent Development: Design, build, and deploy intelligent agents using frameworks like CrewAI and AutoGen to automate complex tasks and workflows.
  • LLM Integration: Work with leading LLMs, applying expertise in prompt engineering and context engineering to fine-tune model behavior and performance.
  • API Development: Develop and maintain robust, scalable RESTful APIs using Node.js to serve our AI applications.
  • Backend Systems: Build and optimize backend services using Python to support our core AI logic and data processing pipelines.
  • Implement CI/CD pipelines, automated testing, and monitoring for robust deployments.
  • Participate in code reviews, mentor junior engineers, and contribute to technical decision-making.
  • Document architecture, APIs, and workflows for internal teams.

Core Skills & Qualifications

  • 6–9 years of hands-on back-end development experience (Python strongly preferred; Node.js/Java also considered).
  • Proven experience designing and building RESTful and GraphQL APIs.
  • Direct experience integrating AI/ML models and APIs, including Claude (Anthropic), OpenAI, and Hugging Face, into production systems.

  • Strong knowledge of relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, DynamoDB) databases.
  • Proficient with cloud platforms (AWS, Azure, or GCP) and containerization (Docker; Kubernetes a plus).
  • Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
  • Exposure to front-end frameworks (React, Angular, or Vue) and ability to make minor UI changes.
  • Strong understanding of secure coding, data privacy, and compliance.
  • Experience with Git-based workflows and collaborative development.
  • Experience working on advanced architectural patterns such as MCP, A2A would be added advantage.

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