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AI/ML Technical Lead

APPIT Software Inc

5 - 10 years

Hyderabad

Posted: 12/02/2026

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Job Description

Key Responsibilities

  • Lead the design, development, and deployment of AI-powered applications using Anthropic Claude LLM and Python-based services.
  • Architect and implement serverless and cloud-native solutions using Azure Functions and Azure Blob Storage.
  • Make architectural decisions and manage technical trade-offs
  • Mentor engineers and provide technical leadership to the team
  • Develop high-performance backend APIs using Python and FastAPI.
  • Oversee frontend development using Angular, ensuring responsive and user-friendly UI.
  • Collaborate with data, product, and DevOps teams to deliver end-to-end solutions.
  • Ensure best practices in code quality, security, performance, and scalability.
  • Guide and mentor junior and mid-level engineers; conduct code reviews and technical discussions.
  • Participate in system design, technical decision-making, and roadmap planning.
  • Work with relational databases, primarily SQL Server, for data modeling and optimization.
  • (Nice to have) Contribute to services developed using C#/.NET or Node.js.


Required Skills & Qualifications

  • 10+ years of overall software development experience with 23+ years in a Lead role.
  • Strong experience working with ML/LLM-based applications, specifically Anthropic Claude or similar LLMs.
  • Experience with AI prompt engineering, model integration, and evaluation.
  • Hands-on expertise in Python and FastAPI for backend development.
  • Solid experience with Microsoft Azure, including:
  • Azure Functions
  • Azure Blob Storage
  • Proficient in Angular for frontend development.
  • Strong understanding of SQL Server, including query optimization and schema design.
  • Experience designing RESTful APIs and distributed systems.
  • Strong leadership, communication, and stakeholder management skills.


Nice to Have

  • Experience with C#/.NET and/or Node.js.
  • Exposure to DevOps practices, CI/CD pipelines, and containerization.
  • Knowledge of security best practices in cloud and AI applications.

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