Job Description

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.

Key Responsibilities:

• Lead and mentor a team of AI engineers, providing guidance on best practices for development and integration.

• Design and develop AI-driven applications using Python, with a focus on leveraging cloud technologies.

• Build and maintain RESTful APIs and WebSocket’s using Python frameworks, such as FastAPI or Flask.

• Implement microservices architecture to support scalable and modular AI applications.

• Troubleshoot and resolve issues related to application performance and reliability.

• Stay current with the latest trends and best practices in AI, cloud computing, and backend development.

• Utilize GenAI libraries like LangChain, LangGraph, CrewAI, AutoGen, etc., to develop advanced AI applications.

• Integrate and work with various large language models (LLMs), including Gemini, OpenAI, and Claude.

• Experience with Claude is a must for integrating and optimizing AI models.

• Implement RAG-based architecture and ensure their optimal performance.

• Monitor application performance and implement strategies to enhance efficiency.

• Oversee the monitoring of application performance, implementing strategies to enhance efficiency.

Mandatory Skills:

• Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex).
• Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems.
• Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction.
• Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency.
• Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement.
• Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership.
• Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results.

• B. TECH/BE or higher
• 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development.
• Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks.
• Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration.
• Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments.
• Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority.
• Strategic and innovative thinking, with a track record of aligning technical solutions to business goals.