About the role We re hiring a Senior AI Engineer to lead the development and deployment of cutting-edge AI systems with a focus on large language models LLMs real-time conversational agents multimodal intelligence and multilingual capabilities This role bridges deep ML expertise system design and hands-on implementation - ideal for someone excited to turn AI innovation into real world product impact You ll work across open-source and commercial models cloud platforms and global user contexts to shape the future of AI-driven user experiences This is a hybrid position - working 3 days a week from our Bangalore office Key Responsibilities Key Responsibilities LLM Multimodal AI Development Design fine-tune and evaluate LLMs e g LLaMA Mistral using modern training workflows LoRA QLoRA DPO SFT Build and integrate AI systems that process and generate across text audio images and structured data Engineer robust prompts and control flows for multilingual compliance-sensitive and regulated domains Develop and maintain retrieval-augmented generation RAG pipelines and vector databases to ground AI outputs in enterprise data and conversational history Production-Grade Delivery Cloud Deployment Deploy scalable secure ML systems on AWS Azure and Google Cloud Translate prototypes into reliable cost-optimized production systems Run A B tests and integrate feedback loops into model refinement cycles Evaluation Safety Compliance Develop structured evaluation frameworks for accuracy latency safety and compliance Calibrate models for predictable secure and compliant behavior in production environments Collaboration Mentorship Best Practices Partner with cross-functional teams to align AI solutions with business needs Mentor junior engineers and champion MLOps LLMOps best practices Required Skills Qualifications 5 years of experience in ML AI development and deployment including 1-2 years working with LLMs or Generative AI Hands-on experience with LLM architectures training workflows and multimodal AI systems Proficient in prompt engineering for multilingual and regulated domains Strong Python skills familiarity with Hugging Face LangChain or LlamaIndex vector databases and inference tuning Experience working with conversational data annotation pipelines and outcome-linked training sets Deep knowledge of ML tooling across AWS Azure and GCP MLOps expertise containerization orchestration CI CD distributed inference and real-time ML systems Bachelor s or master s degree in computer science Machine Learning or a related field Ideal Candidate Traits Designs and builds end-to-end systems model prompt deployment Focused on real-world performance and measurable impact Adapts quickly to evolving GenAI tools and frameworks Communicates technical concepts clearly to both technical and non-technical stakeholders Enjoys building from scratch and thrives in ambiguity LI-RS Function Product Delivery Country India Office Location Bangalore Work Place type Hybrid Advert Working at Sage means you re supporting millions of small and medium sized businesses globally with technology to work faster and smarter We leverage the future of AI meaning business owners spend less time doing routine tasks like entering invoices and generating reports and more time pursuing their ambitions Our colleagues are the best of the best It s why we were awarded 2024 Best Places to Work by Glassdoor Because to achieve extraordinary outcomes we need extraordinary teams This means infusing Sage with people who knock down barriers continuously innovate and want to experience their potential Learn more about working at Sage Watch a video about our culture We celebrate individuality and welcome you to join us if you embrace all backgrounds identities beliefs and ways of working If you need support applying reach out at Learn more about DEI at Sage

📌 Sr Ai Engineer (Bengaluru)
🏢 Sage
📍 Bengaluru