We are seeking a talented software/data/AI engineer to join our multidisciplinary department of Big Data & AI and be the tech leader of Generative AI domain

You will have the unique opportunity to impact on the technological landscape and create a comprehensive solution, frameworks, tools and services which will serve a wide range of applications, including content consumption & generation, NLP, and computer vision

You will be responsible for designing, building, and implementing the use-cases from draft to production, meeting both the challenges and the promises that come with the newest AI technologies

If you are a tech geek, not afraid of the "unknown" and want the do a game-changing role in an innovative technologies, then this role is the perfect fit for you

Responsibilities

Make ideas happen:

Convert ideas and needs from design into reality

Understand the needs and requirements, learn new domains, analyze alternatives, and provide solutions

Hands-on

Architect solutions that including handling diverse data types, supporting large-scale parallel processing, and facilitating massive inference

Develop and integrate data preprocessing pipelines for training/ embedding/fine-tuning generative models

Build services & leverage open-source tools/models (software, AI engineering, Prompt engineering, Data engineering, micro-services) which will be part of the whole framework

Design and deploy monitoring systems to track the performance of deployed models, ensuring robustness and reliability (responsible AI)

Contribute to documentation efforts, code reviews, and knowledge sharing activities to promote best practices

Serve As Domain Expert

Be technical leader and mentor to a group of engineers

Be the main focal point across the company

Grow

Stay on the latest advancements in generative AI technologies, learn new skills, evaluating their applicability and potential impact on our products

Collaborate

Work closely with data scientists, researchers, data engineers and domain experts (core group & customers), to understand requirements and formulate strategies tailored to GenAI applications

Identify and prioritize GenAI-driven initiatives that align with business objectives



Requirements

Education: B.sc / M.sc in computer science or equivalent

Experience

Proven hands-on experience (3+ years) around AI domains (data/AI engineering), with a demonstrated track record of designing and implementing scalable data infrastructure for AI applications (ML,DL, GenAI) - Must

You have developed and deployed AI solutions with tools and frameworks which involves LLMs & frameworks with hands-on experience in data processing – Must

Proven experience in prompt engineering concepts, libraries, capabilities on production scale – Must

Proven experience in developing RAG architecture including embeddings and VectorDB for leveraging LLMs with private data - Must

Proven experience of LLM models fine-tune for adapting LLMs with private data – Must

Coding: Python – Must

Working with: Linux, Docker, micro-services – Must

Ability to work autonomously in a dynamic, fast-paced environment – Must

Passion for innovation in exploring the frontiers of generative AI technology - Must

Excellent problem-solving skills and architectural trade-offs in the context of generative AI applications

Effective communication skills with diverse stakeholders, including data scientists, engineers, and product managers

About You

A nice person – positive, good-natured, and pleasant to be around

Great learner, open-minded and a team player