ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.
Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.
Job Description
We are looking for a Senior AI Engineer for the project for the client in the EdTech industry. If you want to help teams adopt AI tools and make a real impact on how education technology is built, apply now.
Responsibilities
Set up and look after internal AI tools and platforms (e.g. ChatGPT Enterprise, Cursor and others as they come).
Run gradual rollouts and pilots of AI tools for both technical and non-technical teams.
Be the first point of contact for anyone who needs help using AI tools the right way.
Create and run telemetry to understand how AI is being used and what difference it makes.
Build dashboards that show adoption trends, productivity changes and team-level comparisons over time.
Provide data and insights for monthly AI impact reports.
Help build early prototypes, proof-of-concepts and agent experiments.
Turn ideas and high-level concepts into working technical solutions.
Work with the Head of AI & Data to assess what is feasible and validate approaches.
Keep the AI Knowledge Hub up to date with documentation, prompt examples and lessons learned.
Help onboard and train teams so they can use AI tools in their day-to-day work.
Collaborate with engineering, product and support teams across countries, staying within agreed governance and security guidelines.
Profile / Requirements
Solid background in building or enabling AI-powered software solutions.
Practical experience with current LLM tools and workflows, including prompting, evaluation, prototyping and agents.
Worked in AWS-based environments for AI or data projects (e.g. Bedrock, serverless, IAM).
Good grasp of how data moves through systems and how to measure things in engineering or product teams.
Can build and maintain dashboards and simple data pipelines.
Used to working with different teams and adjusting to how each one operates.
Good communicator who is comfortable engaging with people at all levels.
Fluent in English, both written and spoken.
Understands the basics of AI governance, security and compliance.
Has worked with or been exposed to AI agents, orchestration tools or internal AI platforms.
Works independently, takes ownership of delivery and knows when to escalate.
Has experience in distributed or international team setups.
If this role matches your experience and interests, we encourage you to apply. Please send us your CV and we will be happy to discuss the details.
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