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.

Responsibilities:

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 integrate state-of-the-art Generative AI models and techniques to enhance product functionality
Develop custom AI models using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers for specific use cases.
Implement and optimize AI algorithms for natural language processing, image generation, or other relevant domains.
Ensure the AI models are scalable and can be deployed efficiently in production environments.
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.

Requirements:

Backend Development:
Expertise in backend development with Python and frameworks like Flask, Django, or FastAPI.
Solid understanding of relational databases and proficiency in SQL.
Experience with cloud technologies and services, specifically Azure.
Experience with containerization technologies like Docker is a plus.
Familiarity with Azure OpenAI and RAG implementation is a plus.
Strong problem-solving and analytical skills related to backend systems.

GenAI Development:

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.
Strong understanding of natural language processing (NLP) techniques and models, such as BERT, GPT, or similar Generative AI technologies.
Experience in building and deploying AI models in production environments.
Familiarity with LangGraph for enhancing natural language understanding and generation capabilities.
Familiarity with techniques for fine-tuning and optimizing generative models for specific use cases.
Knowledge of data preprocessing and feature engineering for AI applications.
Experience with version control systems like Git and collaborative development workflows.
Understanding of ethical considerations and bias mitigation in AI model development.
Experience with using AI in cloud environments, especially with Azure OpenAI or other cloud-based AI services, is a plus.

Leadership:
Proven experience in leadership or managerial role, with excellent communication and collaboration skills.
Ability to manage and inspire a team, fostering a positive and productive work environment.
Experience with agile development environments.
Strong decision-making skills with a strategic mindset.

• 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.