Lead Engineer

About Ascendion

Ascendion is a leading provider of AI-powered software engineering solutions that help businesses innovate faster, smarter, and with greater impact. We partner with over 400 Global 2000 clients across North America, APAC, and Europe to tackle complex challenges in applied AI, cloud, data, experience design, and workforce transformation. Powered by more than 11,000 experts, a bold culture, and our proprietary Engineering to the Power of AI (EngineeringAI) approach, we deliver outcomes that build trust, unlock value, and accelerate growth. Headquartered in New Jersey, with 40+ global offices, Ascendion combines scale, agility, and ingenuity to engineer what's next.

Ascendion | Engineering to elevate life | www.ascendion.com

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world's leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change-makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

We are seeking a talented and motivated Gen AI/AI Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying innovative AI solutions, with a focus on generative AI and RAG architectures. You will work closely with cross-functional teams to bring cutting-edge AI products to market.

Key Responsibilities:

AI Strategy & Leadership:

• Provide technical guidance and thought leadership on generative AI technologies and their applications.
• Mentor and support junior engineers, promoting skill development and adherence to best practices.
• Collaborate with product leaders and stakeholders to shape AI-driven solutions aligned with business objectives.

Model Development and Fine-tuning:

• Develop and fine-tune state-of-the-art generative AI models, such as large language models and image generation models.
• Implement techniques for model optimization, including quantization, pruning, and knowledge distillation.

RAG Architecture:

• Design and implement robust RAG architectures to enable efficient information retrieval and generation.
• Integrate diverse data sources and knowledge bases into RAG systems.
• Optimize query processing and response generation for optimal performance.

AI System Development:

• Build scalable and reliable AI systems, including APIs, microservices, and data pipelines.
• Collaborate with ML Ops engineers to deploy and manage AI models in production environments.

Experimentation and Innovation:

• Stay up-to-date with the latest advancements in AI research and explore new techniques.
• Conduct experiments to improve model performance and system efficiency.
• Contribute to a culture of innovation and continuous learning.

Qualifications and Experience:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• Overall 7+ years of experience in AI/ML, with a focus on generative AI and RAG architectures.
• Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, etc.).
• Strong and demonstrable skills in GenAI technologies, like OpenAI, Anthropic, or Llama
• Hands-on experience with natural language processing (NLP), computer vision, and machine learning techniques.
• Knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Excellent communication and problem-solving skills

Want to change the world Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!