Manager - AI Engineer

Our team of dedicated Python AI Engineer recognizes the powerful impact that software engineering can have on creating value for organizations. We adopt a comprehensive approach, leveraging our technical expertise to solve complex challenges with solutions that allow our clients to excel.

As a team, we focus on addressing intricate software engineering issues that affect key drivers of success, such as innovation, efficiency, and scalability. We are committed to delivering high-quality, reliable, and scalable software solutions by employing best practices in AI development.

Our unwavering commitment to precision and quality is evident in every line of code we write, ensuring that our clients receive robust and dependable software applications. Whether it's building feature-rich web applications, optimizing backend systems, or enhancing user interfaces, our developers are dedicated to crafting solutions that drive tangible results and foster organizational growth.

Responsibility

Backend Development:

• Design and develop RESTful APIs and web services using Python frameworks such as Flask, Django, or FastAPI.
• Implement a modular architecture to create scalable and maintainable backend systems.
• Ensure efficient communication between services and optimize the processing of requests and responses.
• Create and maintain database schemas with a strong focus on querying and data retrieval operations using SQL.
• Troubleshoot and resolve backend issues, optimizing application performance and ensuring reliability.
• Collaborate with cross-functional teams to ensure that backend components align with the overall project goals.
• Conduct code reviews, offering constructive feedback to improve code quality and maintainability.
• Stay updated with industry trends and best practices in backend development.

GenAI Development:

• Research and develop Agentic AI based applications using framework such as LangGraph/Google ADK etc

   

• Integrating with one or more LLMs like  Gemini/Claude/OpenAI etc
• Design and develop RAG based applications which is scalable and enterprise grade

• Implement and optimize AI algorithms for natural language processing, image generation, or other relevant domains.

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• Stay updated with the latest advancements in AI and machine learning and evaluate their potential impact on current projects.
• Collaborate with data scientists and other AI specialists to leverage large datasets for training models.
• Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
• Contribute to the development of ethical AI guidelines and ensure compliance with industry standards and regulations.

Leadership:

• Lead and mentor a team of developers, fostering a collaborative and innovative team environment.
• Set clear goals, delegate tasks effectively, and ensure timely completion of deliverables.
• Facilitate effective communication within the team and with other departments, ensuring alignment with project objectives.
• Encourage continuous learning and professional development within the team.
• Identify potential challenges and implement strategies to address them proactively.
• Promote an inclusive culture and advocate for best practices in both technology and team management.

B. TECH/BE or higher