About us
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 a project for our international client in the EdTech industry.
If you want to be part of a team where the Senior AI Engineer plays a key role in designing AI architectures, building end-to-end solutions, enabling teams, and driving technical excellence, apply now!
Responsibilities
- Design and implement AI architectures based on LLM/GenAI technologies
- Build end-to-end AI solutions including assistants, recommendations, and automation systems
- Design and implement RAG (Retrieval-Augmented Generation), embeddings, vector stores, and data pipelines
- Integrate AI solutions with backend systems (microservices, REST APIs, event-driven architectures)
- Select appropriate models, pipelines, and tooling for specific use cases
- Set up and manage AI tools like ChatGPT Enterprise, Cursor, and emerging platforms
- Mentor engineers, define best practices, and perform code reviews
- Monitor model performance, quality, cost, and safety in production environments
- Create dashboards to track usage, adoption, team productivity, and AI system metrics
- Co-create and execute the AI roadmap with product and business stakeholders
- Advise product and business teams on AI capabilities and opportunities
- Build and test AI prototypes and experiments, turning ideas into practical solutions
- Keep AI guides, prompts, and examples up to date in a shared knowledge hub
- Support training and onboarding to help teams adopt AI tools and best practices quickly
- Work closely with engineering, product, and support teams across multiple countries
Required qualifications
- 5+ years of experience as a Software Engineer
- 2+ years hands-on experience in AI/ML or LLM-based projects
- Strong Python experience (3+ years commercially)
- Practical experience with OpenAI, Azure OpenAI, HuggingFace, or open-source LLMs
- Experience with LangChain, LlamaIndex, or similar orchestration frameworks
- Hands-on experience with vector databases (Pinecone, Qdrant, Weaviate, pgvector)
- Strong understanding of RAG and data pipeline design and implementation
- Experience with system architecture, APIs, integrations, and event-driven design
- Hands-on experience in AWS-first environments for AI or data solutions (AWS Bedrock, serverless, IAM)
- Technical leadership and mentoring skills with proven ability to guide engineering teams
- Skilled in modern LLM tools and workflows, including prompt engineering and model evaluation
- Strong understanding of data flows, telemetry, and metrics in engineering contexts
- Excellent written and spoken English with ability to engage stakeholders across countries
- Familiarity with AI governance, security, and compliance considerations
- Proven ability to work effectively in multi-country or distributed organizations
Nice to Have:
- Experience with fine-tuning, LoRA, and quantization techniques
- Knowledge of MLOps (monitoring, drift detection, CI/CD for AI)
- Experience building AI-first products in startup or high-ownership environments
- Background in data engineering, analytics, or platform engineering
- Experience measuring developer productivity or evaluating ROI of AI tooling
Ready to shape the future of AI in EdTech? Apply now!
Benefits
- 100% remote work
- B2B contract
