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Job Description
An AI Engineer responsible for designing and deploying AI-powered tools using Large Language Models to automate workflows, enhance data processing, and integrate AI solutions across the company's operations, supporting the company's strategic shift towards innovation and decarbonization strategies.
Key Responsibilities
- Design, develop, and deploy AI-powered tools and agents using LLMs for document processing, summarization, and workflow automation
- Build performant AI tools to automate and augment business use cases
- Collaborate with teams to integrate AI solutions into existing workflows and processes
- Stay updated on AI advancements and contribute to the AI technical roadmap
- Implement MLOps practices for deployment, monitoring, and lifecycle management of AI models
Requirements
- 7 years of software engineering experience with hands-on coding and collaboration
- 3 years of industry domain experience developing and deploying secure, novel tools and automation (preferred)
- Proficiency as a polyglot programmer with experience in Python and NodeJS
- Familiarity with AI and ML frameworks such as LangChain, TensorFlow, or PyTorch
- Experience with cloud infrastructure, preferably AWS, but Azure or GCP is also acceptable
- Experience with infrastructure as code tools such as CDK or Terraform
- Exposure to big data tools
- Working knowledge of MLOps, including model versioning, pipeline orchestration, and production deployment
Benefits & Perks
Work schedule: Hybrid work environment
Work environment perks: Collaborative team of 450 professionals from 50 nationalities
Additional benefits: Opportunities to work with cutting-edge AI technologies, professional growth in AI and machine learning, exposure to cloud infrastructure and big data tools, and a purpose-driven company focused on environmental impact
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