Job Description
We are looking for an experienced AI/ML Developer with solid hands-on expertise in Python, Generative AI, and agentic development. The role focuses on applying AI to software engineering and business workflows, building reusable agentic frameworks, and accelerating the adoption of AI-powered solutions in production. The ideal candidate should be comfortable working independently with client engineering leads to design, prototype, validate, and implement practical AI solutions.

Key Responsibilities
• Design and develop AI-powered agents for software development lifecycle (SDLC) workflows, including code generation, pull request reviews, testing, and engineering automation.
• Build and maintain reusable agentic frameworks, skills libraries, prompts, instructions, and implementation patterns.
• Implement AI-assisted engineering workflows to improve developer productivity, code quality, testing efficiency, and delivery processes.
• Evaluate and integrate GenAI models, agentic frameworks, and AI development tools based on business and engineering requirements.
• Apply spec-driven development practices using tools such as Claude Code and GitHub Copilot to translate requirements and specifications into working solutions.
• Develop and integrate applications using Python, APIs, and enterprise data sources.
• Support automation initiatives across Azure and Databricks Lakehouse environments, identifying opportunities where AI can provide measurable value.
• Work with Databricks and Snowflake to support data integration and AI-enabled workflows.
• Contribute to credit-risk AI extensions and related use cases as business requirements evolve.
• Collaborate directly with client engineering leads to understand requirements,



shape solution approaches, and drive implementation independently.
• Validate prototypes for accuracy, reliability, scalability, security, and production readiness.
• Establish reusable development patterns, documentation, and best practices for agentic solutions and AI-assisted engineering.
• Apply sound engineering judgment to determine when AI, agents, conventional automation, or traditional software development is the most appropriate approach. Required Skills & Experience
• 6
- 10 years of experience in AI/ML development, Python engineering, application development, or related software engineering roles.
• Strong hands-on proficiency in Python and application engineering fundamentals.
• Practical experience with Generative AI and agentic development, including building AI-powered workflows or applications.
• Good understanding of APIs, system integration, data integration, and application architecture.
• Experience with Git, CI/CD pipelines, and software development lifecycle practices.
• Familiarity with cloud architecture and hands-on exposure to Microsoft Azure.
• Experience with Databricks and/or Snowflake, preferably in data engineering, analytics, or Lakehouse-related use cases.
• Hands-on familiarity with Claude Code, GitHub Copilot, or similar AI-assisted development tools.
• Understanding of spec-driven development and the ability to translate specifications into implementable engineering solutions.
• Ability to work independently with client engineering leads and communicate technical solutions clearly.
• Strong problem-solving skills and sound judgment when evaluating the practical value, limitations, and risks of AI-based solutions. (ref:hirist.tech)

📌 InfoBeans Technologies (Indore)
🏢 InfoBeans
📍 Indore