Python Developer, Generative AI

Join our team today.

People just like you work here. It is amazing what we accomplish when we are here together. Build enterprise systems, global products and production AI with a team that has done it for 15 years.

Life at Nile

Serious work. Generous people.

You will work directly with clients like Airtel, Genpact and IFFCO, and with founders and startups across the UK, US, Canada and Australia. Five-day weeks, hybrid options, and a management team that came up through engineering.

Benefits

Extensive benefits for every employee, with fixed weekends off.

Rapid perks

We believe in performance. Perform, and take the most from an ocean of opportunities.

Inspiration

A base for generous performers. Learn from the best people we have.

Apply by sharing your profile or references at hidden_email.

Python Developer, Generative AI

3 to 6 yearsNoidaAI practice

We are looking for a skilled Python developer with a strong background in generative AI. You will develop, deploy and integrate AI models (Gemini, Azure OpenAI and others) and applications, working closely with our data science, engineering and product teams to build scalable, robust solutions.

Key responsibilities

Design, develop and deploy generative AI models using modern frameworks

Integrate AI models with applications, ensuring seamless functionality and performance

Collaborate with cross-functional teams to define, design and ship new features

Write efficient, reusable and reliable Python code; optimise for speed and scalability

Troubleshoot and debug applications and AI models; participate in code reviews

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering or related field; 4+ years IT experience

Proven Python experience with a focus on generative AI and application integration

Strong understanding of machine learning and deep learning; experience with AI/ML frameworks

API development and cloud platforms (AWS, Azure, Google Cloud); Git, CI/CD and agile practice

Preferred: NLP and generative AI models, cloud technologies .