Hiring || Applied AI Engineer (GenAI & Automation)

Required Skills:

Job Title: Applied AI Engineer (GenAI & Automation) Location: Bangalore Experience: 712 years Summary As a key member of our multi-disciplinary AI Platform & Application Engineering team you will play a pivotal role in shaping the future of enterprise AI transformation. You will lead the design development and deployment of next-generation copilots and automation solutionscentral to our strategic vision for Generative AI adoption. Your work will span the full lifecycle of AI products from concept to production ensuring they are not only technically robust but also scalable secure and aligned with business outcomes. By building enterprise-grade infrastructure and enabling seamless integration across teams you will drive widespread adoption operational efficiency and measurable impact across the organisation. Responsibilities Lead end-to-end design and training of AI models ensuring high accuracy reliability and adaptability across diverse business scenarios. Deploy and support AI-powered applications and services enabling rapid adoption by internal teams and external stakeholders. Manage access to AI platforms APIs and model repositories (e.g. AWS Azure ML Hugging Face) ensuring secure efficient and governed usage. Architect and maintain scalable compute environments and data pipelines tailored for high-performance Generative AI workloads. Implement observability and evaluation frameworks to monitor model performance user adoption and business impact. Collaborate with cross-functional teams to translate business requirements into technical solutions and deliverables. Requirements Requirements: 5 years of hands-on experience in AI/ML engineering DevOps or AI platform development with a proven track record in enterprise or automotive technology environments. Demonstrated expertise in large-scale model training deployment and lifecycle management using cloud-native infrastructure (AWS Azure). Strong command of MLOps practices AI/ML frameworks and CI/CD pipelines for AI -depth experience with LLMs prompt engineering RAG architectures vector databases LangChain and LlamaIndex. Proficiency with agile methodologies and tools such as JIRA Confluence for backlog management and technical documentation. Proven ability to lead technical initiatives mentor engineering teams and drive execution in fast-paced high-impact environments. Enablement Scope Licenses & Tools: Facilitate provisioning of AI development environments APIs and platforms to accelerate prototyping and deployment cycles. Infrastructure: Design and manage high-performance compute clusters and scalable data pipelines to support GenAI workloads. Assessment: Establish structured evaluation frameworks and monitoring tools to track KPIs performance and business ROI. Strategic Impact Accelerate enterprise-wide AI adoption through standardised delivery reusable components and robust infrastructure. Empower innovation across functions by connecting advanced AI capabilities with real-world business challenges. Drive measurable business value by defining clear success metrics tracking ROI and optimising automation initiatives over time. Preferred Traits Rapid adaptability to emerging AI trends and evolving automation technologies. Analytical mindset with a strong bias for execution delivery and continuous improvement. Comfortable operating in high-pressure cross-functional settings with diverse stakeholders. Passion for building scalable future-ready AI systems and optimising performance at scale.

Required Education:

Graduate