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Agentic AI Application Developer | Codersbrain

full-time
Posted on August 20, 2025

Job Description

Agentic AI Application Developer

Job Summary

Seeking an Agentic AI Application Developer with expertise in Python and knowledge of Model Context Protocol (MCP) to design, develop, and deploy advanced AI systems. The candidate will collaborate with cross-functional teams to create scalable and ethical AI solutions that contribute to the organization’s goals.

Responsibilities

  • Build and implement AI applications using Python, FastAPI, and React.
  • Collect, preprocess, and analyze datasets for model training.
  • Integrate AI models with MCP frameworks (such as Azure AutoGen) for automation or application control (e.g., via MCP servers).
  • Collaborate with data scientists and engineers to align efforts with business requirements.
  • Write clean, maintainable Python code, ensuring ethical and compliant AI solutions.
  • Troubleshoot, debug, and test AI applications.
  • Stay updated on trends and advancements in AI, Machine Learning (ML), and MCP technologies.

Qualifications

  • Educational Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent experience).
  • Proficiency in Python programming language.
  • Strong understanding of AI and Machine Learning principles.
  • Familiarity with frameworks such as FastAPI and React.
  • Experience with MCP and tools like Azure AutoGen for automation.
  • Excellent analytical and problem-solving skills.
  • Ability to write maintainable, efficient, and ethical code.
  • Strong communication and collaboration skills.

Preferred Skills

  • Experience with cloud platforms (e.g., Azure, AWS).
  • Knowledge of ethical AI practices and governance.
  • Familiarity with containerization tools (e.g., Docker).
  • Experience in deploying and maintaining AI applications.

Experience

  • A minimum of 6 to 10 years of relevant experience in AI application development and deployment.

Environment

Location and work setting are not specified.

Salary

Estimated budget is 1.3 LPM (Lakhs Per Month).

Growth Opportunities

Not specified.

Benefits

Not specified.

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