Generative AI 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 | 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: Job Title : Gen AI Engineer Work Location : Bengaluru, Hyderabad, Chennai (hybrid work) Description: We are seeking a talented and motivated Senior-level 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 also contribute to the strategic direction of our AI initiatives by providing technical leadership, mentoring junior team members, and ensuring best practices in AI development. 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. Ensure adherence to security, compliance, and responsible AI practices. 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 (Master’s degree preferred). 6+ years of experience in AI/ML, with a strong focus on generative AI and RAG architectures. Proven experience in leading or contributing to complex AI projects from ideation to deployment. Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Strong and demonstrable skills in GenAI technologies, such as 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. Familiarity with MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes). Excellent communication, problem-solving, and stakeholder management skills. Ability to balance research-oriented exploration with practical engineering execution. 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