AI Engineer (Generative NLP, AI Agents, Prompting) in WebLab Technology

We are looking for a dynamic AI Engineer to join our innovative team, focusing on the frontier of Generative NLP, AI Agents, Vector Search and prompting techniques. This is an exceptional opportunity for someone passionate about shaping the future of AI-driven conversational interfaces and eager to work with cutting-edge technologies, including LLM APIs such as those offered by OpenAI.As an AI Engineer, your primary mission will be to design, develop, and deploy AI solutions that integrate into our existing systems. You will have the chance to work on prompt-based and API-based solutions, reflecting our commitment to rapid delivery without compromising on innovation.About the project:A stable enterprise product for creating marketing presentations, preparing accompanying materials, and developing sales cycle business assistants for global pharmaceutical companies such as AstraZeneca, Novartis, Pfizer, Veeva etc., and financial institutions like ING and Van Lanschot. Completely our code base, we have been developing it since 2015.Our services are distributed across multiple Availability Zones, adhering to a service-oriented architecture. Since 2018, we have prioritized GraphQL, although we maintain comprehensive support for RESTful APIs. Our core API services are built on a diverse stack of programming languages, each chosen to optimize task performance. This stack includes a rapidly evolving Golang Core API, legacy Core API services in PHP (leveraging frameworks like Laravel and Yii2) for established business logic and data layer interactions, Node.js (utilizing both JavaScript and TypeScript), Python APIs, and .NET Core C# components.We utilize a hybrid cloud infrastructure, harnessing the strengths of both AWS and GCP to meet our operational needs, and focus on Serverless. Our work also involves extensive integration with API partners, including Veeva, Salesforce, and a variety of others, to ensure a seamless and robust service ecosystem.As a product with high-security requirements, we undergo regular penetration testing from auditors and client companies to ensure compliance with industry standards such as OWASP, SOC, and ISO.Key Responsibilities:- Design, develop, and deploy AI solutions utilizing Python.- Construct and enhance Chains, AI Agents, and AI Pipelines with tools such as Langchain and LlamaIndex.- Develop robust APIs leveraging Flask and FastAPI frameworks.- Develop solutions using Vector Databases.- Gather, clean, and analyze data to uncover patterns and derive insights.- Research and apply novel AI techniques and algorithms for continuous improvement.- Fine-tune LLMs using both manual and automated feedback mechanisms.- Ensure the reliability and optimal performance of AI services through diligent site reliability engineering.- Work collaboratively with cross-functional teams to craft impactful AI solutions that drive business growth.Qualifications:- Bachelor’s degree in Computer Science, Artificial Intelligence, or a closely related field.- Prompt engineering skills.- High proficiency in at least one of the following programming languages: Python, TypeScript, Golang, or Rust.- Minimum of 1 year experience in developing AI solutions, preferably with LLMs.- Strong foundation in Python, with at least 1 year of experience.- Ability to design, develop, and deploy machine learning models.- Basic NLP skills, including sentiment analysis, named entity recognition, and part-of-speech tagging.- Understanding of machine learning principles and algorithms.- Familiarity with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.This position offers the chance to be at the forefront of AI development, working on solutions that leverage the latest advancements in AI technology. If you are driven by innovation, eager to tackle challenging problems, and ready to make a significant impact, we would love to hear from you.Benefits:In addition to a great base salary, we offer:1) Funding for conferences, co-working spaces, software licenses, and other work-related expenses2) MacBook if you require one3) Mobile devices if you are involved with mobile development projects4) Flexible working hours and fully remote working without micromanagement5) Modern technology stack6) Time for open source development7) Bonus at the end of the year8) Paid study leave9) Paid English language courses10) 36 company-paid days off per annum11) Access to educational streaming services like Pluralsight12) Input on the development of the companyOur core values:We are open-minded, humble, respectful, self-driven, and honest, which allows us to create an atmosphere of synergy. Our team is a great fit for those who value self-organization and are passionate about personal growth. If this resonates with you, we’d love to have you join the team.