AI Engineer, GenAI, LLM

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

🔒 Cybersecurity

📋 Compliance

☁️ SaaS

Cybersecurity • Compliance • SaaS

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• GenAI Solutions Development • Implement RAG (Retrieval-Augmented Generation) pipelines; • Develop agents using frameworks such as LangGraph; • Build chatbots and copilots based on LLMs; • Integrate multi-model orchestration solutions using LiteLLM; • Implement features such as: Function Calling; Agent memory; Agent orchestration; Integration with multiple language models. • Software Engineering • Develop full-stack solutions using: Python; .NET/C#; React/TypeScript; • Build robust APIs with support for: Streaming; Asynchronous processing; System integrations; • Apply resilience patterns such as: Circuit Breaker; Retry; Timeout; • Work on distributed and scalable solutions. • Quality and Operations • Develop and run automated tests; • Implement LLM quality evaluations (LLM Evals); • Support regression testing for models and prompts; • Implement observability for AI solutions; • Monitor metrics such as: Token consumption; Latency; Inference costs; • Identify and resolve production issues. • Technical Collaboration • Participate in code reviews; • Contribute to ADRs (Architecture Decision Records); • Support the creation of POCs and MVPs; • Prepare technical documentation; • Work closely with the GenAI Solution Architect and other technical teams.

🎯 Requirements

• Minimum 4 years of software development experience; • Minimum 1 year of hands-on experience working with LLMs in production solutions beyond POCs; • Practical experience with: LangChain; LangGraph; Implementation of RAG solutions; • Knowledge of Python; • Experience with at least one of the following technologies: .NET/C#; React/TypeScript; • Full-stack development experience; • Knowledge of REST APIs; • Experience with messaging systems and asynchronous processing; • Understanding of distributed systems; • Experience with at least one cloud provider: Azure; AWS; GCP; • Experience with CI/CD; • Knowledge of Docker; • Experience with at least one LLM provider: Azure OpenAI; Amazon Bedrock; Vertex AI/Gemini; Claude; • Applied Prompt Engineering knowledge; • Experience with Git; • Experience working in agile teams.

🏖️ Benefits

• Multi-benefits card – you choose how and where to use it. • Scholarship programs for Undergraduate, Graduate, MBA and Language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career plan. • Opportunity for international career progression. • Wellhub and TotalPass benefits. • Private pension plan. • Childcare assistance. • Health insurance. • Dental insurance. • Life insurance.