Generative AI Engineer

At Exacaster we impact the lives of over 40 million consumers on a daily basis by working with clients in the Baltics, USA, Central and South America and the Caribbean. Overall, we operate one of the largest big-data environments in the Baltics, and we certainly have one of the most diverse sets of data and pursue some of the most challenging analytical projects.
Exacaster’s team is looking for a Generative AI Engineer to join our Pilot team.

About the role: 
We are seeking a Generative AI Engineer passionate about applying generative AI solutions to solve business problems. This role involves designing, developing, and implementing business processes built on top of generative AI models. These processes may encompass both back-end and front-end development, with a primary focus on Large Language Models (LLMs).

Who should apply:

We welcome applications from candidates of all experience levels. If you are enthusiastic about Generative AI and eager to make an impact, we encourage you to apply — even if your experience doesn't perfectly align with our listed requirements.

Your daily tasks will include:

• Collaborate with internal and external stakeholders to define Generative AI project requirements and objectives, ensuring alignment with business goals.
• Develop data processes and solutions based on Generative AI models.
• Develop and maintain knowledge bases using vector embeddings.
• Optimize existing Generative AI processes and models for improved performance, scalability, and efficiency.
• Create clear and concise documentation — including technical specifications, user guides, and presentations — to communicate complex Gen AI concepts to both technical and non-technical stakeholders.
• Contribute to the establishment of best practices and standards for Generative AI-based process development within and outside the organisation.
• Research to stay up-to-date with the latest advancements in Generative AI and machine learning in general.

We are looking for a person who has:

• Experience in developing and implementing processes based on generative AI models, with hands-on experience with Large Language Models (LLMs) such as GPT-4o, Claude 3.5 Sonnet, and similar.
• Proficiency in Python, with experience using GenAI and machine learning libraries and frameworks such as LangChain, LangServe, Streamlit, Chainlit, and others.
• Strong knowledge of data structures and algorithms.
• Experience with RESTful APIs.
• Familiarity with cloud-based platforms and services, such as AWS, Azure, and/or GCP
• Experience working with vector databases and vector search capabilities, such as Pinecone, Azure AI Search, and vector search extensions in relational databases like Amazon Aurora, Amazon RDS, etc.
• Excellent problem-solving skills and the ability to think critically and creatively to develop innovative AI solutions.
• Business acumen to design solutions that address key business challenges.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• A proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment on several concurrent projects.

Nice to have things:

• Demonstrated interest in Research and Development (R&D): A passion for exploring cutting-edge technologies and contributing to innovative projects.
• Experience in the Data Science field: Knowledge of data analysis, statistical modeling, and machine learning techniques.
• Previous experience in a consulting environment: Ability to interact with clients, understand their needs, and deliver customized AI solutions.
• Proficiency with Git for version control: Experience in collaborative development using Git, GitHub, or similar platforms.
• Innovative mindset: Creative thinker with the ability to develop and implement novel AI solutions.

We promise:

• Monthly salary for this position from 3000 Eur gross to 4500 Eur gross for a full time role.
• Participation in the company’s stock options program.
• Flexible Benefits & Personal learning budget.
• 10 Growth Days per year - dedicated time for learning and development.
• Ownership and dynamics in your role.
• Hybrid work environment with preferably at least 1 day per week in the office.
• Mindletic – the app for your mental & emotional health.
• All the support you need from our experienced team to become an even better professional.
• And the most important thing – you will be part of a great international team!