Gen AI Engineer

About us:

Pixis is a US-based codeless technology company that develops accessible AI to empower brands to scale their performance marketing efforts and augment their decision-making seamlessly. Since its inception, Pixis has been on a mission to develop powerful AI infrastructure that equips marketers across countries with robust plug-and-play AI products, 200+ proprietary, self-evolving AI models without having to write a single line of code.

The company has raised a total funding of $209M across Series A, B, C and C1, and is backed by recognized investors including SoftBank Vision Fund 2, Touring Capital, Grupo Carso, General Atlantic, Celesta Capital and Chiratae Ventures.

Our customer base includes global brands such as DHL Express, Joe & The Juice, Claroshop, Allbirds, L’Oreal, HDFC Bank, Skoda, Swiggy, Clar and SmartAsset, to name a few. Today Pixis’ talented and diverse team of 300+ spread across over 14 geographies is focused on building incredibly transformative AI products to help customers get the most out of their marketing and demand generation efforts.

Get ready to embark on an AI venture at

Why Pixis?

We at Pixis believe that nothing is impossible, when you fail fast you learn faster, zero hierarchy, put the team above everything else, get constructive feedback that helps you build better products, and disagree if you disbelieve. These values guide us in everything we do, and is reflected in our employees and the products we build together.

Our commitment to fostering an exceptional workplace has been recognized with the prestigious People Workplace Awards 2024 by the HR Association of India, a testament to our dedication to creating an outstanding environment for our employees.

Join Pixis and be a part of a team where innovation knows no bounds, every idea counts, and together, we shape the future of technology.

Key Responsibilities:

As a Generative AI Engineer at Pixis, you will be at the forefront of designing and implementing next-generation AI models that drive real business impact. Your contributions will directly shape our suite of AI-powered products used by industry-leading enterprises.

Model Development & Research:

• Design, develop, and deploy state-of-the-art generative AI models (e.g., GANs, VAEs, Transformers) tailored for enterprise applications.
• Stay updated with the latest research trends and innovations in generative AI to continually enhance our solutions.

Integration & Collaboration:

• Collaborate with cross-functional teams (data scientists, software engineers, and product managers) to integrate AI models into our SaaS platforms.
• Work closely with product teams to translate business requirements into scalable AI features.

Optimization & Deployment:

• Perform data preprocessing, feature engineering, and model tuning to ensure high-quality and efficient AI outputs.
• Optimize model performance through rigorous testing, hyperparameter tuning, and evaluation using relevant metrics.
• Support the deployment and maintenance of AI solutions in production environments.
• Implementing feedback mechanisms (collect user input logs, refine model responses, etc.)

Documentation & Best Practices:

• Maintain comprehensive documentation of AI models, methodologies, and experiments.
• Contribute to the development and refinement of coding standards, testing procedures, and best practices for AI/ML development.

Requirements & Skills:

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Professional Experience:

• 2–4 years of proven, hands-on experience in generative AI
• Demonstrated ability to develop and deploy state-of-the-art generative models using frameworks like TensorFlow or PyTorch.

Technical Prowess:

• Natural Language Processing (NLP): Experience with LLMs (e.g., GPT, BERT) and conversational AI frameworks.
• Machine Learning & Generative AI: Familiarity with model training, fine-tuning, and deployment.
• API Integration: Ability to integrate third-party AI services
• Experience building or integrating LLM-based chatbots (e.g., designing prompts, context management, multi-turn conversations) is a plus.
• Familiarity with payment integrations and transaction flows is a plus

Soft Skills:

• A proactive, innovative mindset paired with a collaborative spirit.
• Exceptional problem-solving skills and the ability to articulate complex ideas clearly.
• Passion for staying ahead of technological trends and driving forward-thinking solutions.