AI Engineer

The AI Engineer will play a pivotal role in designing developing and deploying advanced AI solutions with a strong focus on Natural Language Processing (NLP) Large Language Models (LLMs) and MultiModal Generative AI. Working closely with data scientists product managers engineers and other stakeholders you will build scalable productiongrade AI solutions that address customer needs and enable operational excellence.

Key Responsibilities:

• AI Solution Development:
  • Design develop and optimize AI algorithms and models tailored to business needs ensuring scalability and performance.
  • Develop APIs and services to make AI functionalities accessible across the organization.
• Data Preparation & Processing:
  • Preprocess and prepare diverse data types (PDFs Word documents Excel files HTML audio video and databases) for machine learning models.
  • Ensure data quality security and readiness for AI applications.
• LLM Applications:
  • Build advanced LLM applications including RetrievalAugmented Generation (RAG) workflows finetuning and embedding models.
  • Implement reasoning and agentbased systems leveraging tools like LangGraph LangChain.
  • Evaluate and optimize performance with techniques like RAGAS and advanced retrieval mechanisms.
• Cloud Deployment & Operations:
  • Deploy AI and LLM applications to cloud infrastructure (AWS preferred).
  • Manage productiongrade solutions with tools like Amazon SageMaker implementing monitoring scaling and visibility tools.
• Performance Monitoring & Troubleshooting:
  • Track the performance of deployed AI solutions using monitoring tools and feedback mechanisms.
  • Continuously improve solution quality by analyzing outputs and addressing identified issues.
• Research & Innovation:
  • Stay updated on emerging AI methodologies frameworks and technologies.
  • Incorporate cuttingedge developments into existing workflows and create reusable AI frameworks.
• CrossFunctional Collaboration:
  • Work with stakeholders such as delivery leads product managers and domain experts to translate business needs into actionable AI solutions.
  • Collaborate with IT and cloud operations teams to ensure seamless integration and scalability of AI tools.
• Documentation & Best Practices:
  • Maintain detailed documentation of AI models processes and workflows.
  • Establish and promote best practices for AI development deployment and maintenance across teams.

Qualifications :

• Technical Expertise:
  • Proficiency in AI techniques such as RAG LLM finetuning and embedding models.
  • Advanced Python programming skills and experience with frameworks like LangGraph LangChain.
  • Expertise in handling large datasets including vectorized datasets and using ETL/ELT tools.
• Cloud & MLOps:
  • Handson experience deploying and managing AI solutions on AWS.
  • Familiarity with containerization technologies like Docker and MLOps practices for efficient model lifecycle management.
• Problem Solving & Collaboration:
  • Strong analytical and problemsolving skills for tackling AI development challenges.
  • Excellent communication skills to collaborate with crossfunctional teams and articulate technical concepts clearly.
• Educational Background:
  • Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.

 *This posting will automatically expire on March 21 2025.

Additional Information :

We work hard to make sure Life at Informa is rewarding supportive and enjoyable for everyone. Heres some of what you can expect when you join us. But dont just take our word for it see what our colleagues have to say at  LifeAt.Informa

Our benefits include: 

• Freedom & flexibility: colleagues rate us highly for the flexibility and trust they receive and we support a range of working patterns.
• Great community: a welcoming culture with inperson and online social events our fantastic Walk the World charity day and active diversity and inclusion networks.
• Broader impact: take up to four days per year to volunteer with charity match funding available too.
• Career opportunity: the opportunity to develop your career with bespoke training and learning mentoring platforms and ondemand access to thousands of courses on LinkedIn Learning. When its time for the next step we encourage and support internal job moves.
• Time out: 15 days PTO rising to 20 after three years and 25 after six years plus 10 national holidays a birthday leave day and the chance to work from (almost! anywhere for up to four weeks a year.
• Competitive benefits including a 401k match parental leave and an ESPP offering company shares at a minimum 15 discount.
• Strong wellbeing support through EAP assistance mental health first aiders free access to a wellness app and more.
• Recognition for great work with global awards and kudos programs.
• As an international company the chance to collaborate with teams around the world.
• The salary range for this position $138k $155K/YR depending on experience.

Were not solely focused on a checklist of skills. We champion energy and ambition and look for colleagues who will roll their sleeves up join in and help make things happen. If it sounds like a match and you have most although not all of the skills and experience listed we welcome your application. At Informa youll find inclusive experiences and environments where all perspectives and backgrounds are welcomed.

As part of this approach and our diversity and inclusion commitments we are also formally an Equal Opportunities Employer. This means we base decisions on relevant qualifications and merit and do not discriminate on the basis of key characteristics and statuses including all of those protected by law. Ask us or see our website for full information. 

See how Informa handles your personal data when you apply for a job here.

Remote Work :

Yes

Employment Type :

Fulltime