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Artificial Intelligence Engineer
2 weeks ago
Role : AI Engineer
- Experience : 3 - 5 Years
- Location : Pune, India
Interview Process Details :
- Technical Round
- Assessments
- Final Interview with the CTO
About company : Our AI-powered spend strategy platform utilizes data, market intelligence, and machine learning to transform raw data and documents into actionable insights and practical recommendations. It automates data analysis, providing customized strategies and templates that empower business leaders to make informed decisions and achieve better results. Roles &
Role Overview : The AI Engineer will now focus on designing and leading the integration of GenAI-powered agents. They will be responsible for building and scaling AI agents, focusing on product innovation and continuous improvements in autonomous sourcing and recommendations.
Responsibilities :
- You're Awesome At - Developing AI Agents
- You'll Be Responsible For - Generating ideas and innovatively deploying AI Agents to deliver financial impact to our clients.
- Support the Lead AI Engineer and the development team in the design and development of GenAI solutions using Amazon Bedrock and other AI tools such as OpenAI, LlaMA, Mistral, Langchain, etc.
- Integrate AI foundation models (e.g., large language models, generative agents) into product features.
- Collaborate with developers and AI/ML engineers to implement AI agents, automated narratives, and co-pilots.
- Ensure the AI models are scalable, secure, and meet enterprise-grade performance requirements.
Skills & Qualifications :
- Expertise in Amazon Bedrock, Open AI, LlaMA and other AWS AI/ML services (e.g., Sagemaker, Recognition).
- Experience working with large language models (LLMs), small language models (SLMs) and generative AI.
- Ability to develop and use multimodal models to improve the accuracy of the AI output.
- Strong understanding of cloud-based architecture for deploying AI agents .
- Proven experience in full-stack development and AI integration into enterprise SaaS products.
The ideal candidate will have worked with procurement technology enterprise SaaS products and supported the organisation through various funding rounds, such as Series A, B, and C.