SAGE

Job Title

Sr AI Engineer

Job Description

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

• LLM Development & Prompt Engineering
• Design and optimize robust system prompts, few-shot examples, and dynamic control flows

for multilingual, compliance-sensitive use cases.

• Open-Source Model Finetuning
• Fine-tune LLMs (e.g., LLaMA, Mistral) using techniques like LoRA, QLoRA, DPO, and SFT on

domain-specific conversational and annotated datasets.

• Multimodal AI Solutions
• Build and integrate AI systems that process and generate across multiple modalities —

including text, audio, images, and structured data — to deliver richer, context-aware

interactions.

• Model Evaluation & Behavior Control

Develop structured evaluation frameworks covering accuracy, latency, tone, safety, and

compliance. Calibrate models to behave predictably in production settings.

• Retrieval-Augmented Generation (RAG)

Design and maintain RAG pipelines and vector databases to ground AI outputs in enterprise

data and conversational history.

• Multilingual Capabilities
• Build and maintain agents capable of fluent, context-sensitive communication across English,

French, Spanish, and other global languages, with support for code-switching and cultural nuance.

• Cloud-Native Deployment

Design and deploy scalable, secure ML systems across AWS (SageMaker, Bedrock, Q), Azure

(OpenAI, Foundry), and Google Cloud (AI Studio, Vertex AI).

• Production-Grade Delivery
• Translate prototypes into reliable, cost-optimized, production-ready systems. Run A/B tests

and integrate feedback loops for continuous improvement.

• Cross-Functional Collaboration
• Partner with product, engineering, and design teams to align AI solutions with user needs and

business impact.

• Mentorship & Standards
• Contribute to internal ML best practices, mentor junior team members, and champion operational excellence in MLOps and LLMOps.

#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: sage.com/en-gb/company/careers/working-at-sage/

Watch a video about our culture: youtube.com/watch?v=qIoiCpZH-QE

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 careers@sage.com.

Learn more about DEI at Sage: sage.com/en-gb/company/careers/diversity-equity-and-inclusion/

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