AI Engineer, GenAI, LLM

🕒 August 7

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

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

• Develop LLM-based products for production environments. • Implement RAG (Retrieval-Augmented Generation) pipelines. • Develop intelligent agents using LangChain and LangGraph. • Build chatbots, copilots, and Generative AI applications. • Implement multi-model orchestration using LiteLLM. • Develop solutions with Function Calling and memory management for agents. • Develop backend applications in Python and full-stack applications using .NET (C#) and React/TypeScript. • Build robust REST APIs with asynchronous processing (Streaming/Async). • Apply resilience patterns such as Circuit Breaker, Retry, and Timeout. • Develop automated tests, including evaluations (Evals) for LLMs. • Implement monitoring and observability for AI applications, tracking token consumption, latency, costs, and performance. • Investigate and resolve production issues. • Participate in code reviews, ADRs, PoCs, and technical documentation. • Collaborate with Architecture, Product, and Engineering teams to advance solutions.

🎯 Requirements

• At least 4 years of software development experience. • At least 1 year of hands-on experience with LLM-based applications in production. • Experience with LangChain. • Experience with LangGraph. • Experience implementing RAG. • Proficiency in Python. • Experience with .NET (C#) and/or React with TypeScript. • REST API development experience. • Experience with messaging and asynchronous processing. • Knowledge of distributed systems. • Experience with cloud platforms (Azure, AWS, or GCP). • Docker. • CI/CD pipelines. • Experience using at least one of the following providers: Azure OpenAI, Amazon Bedrock, Google Vertex AI / Gemini, or Anthropic Claude. • Experience with Prompt Engineering. • Git. • Experience working with agile methodologies. • Nice to have: LiteLLM, vector databases (Pinecone, pgVector, Azure AI Search), CrewAI, AutoGen, Semantic Kernel, MCP, LangSmith, Arize AI, RAGAS, DeepEval, AI guardrails, PII handling, Kubernetes, cloud certifications, and advanced or fluent conversational English.

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Scholarships for undergraduate, postgraduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance reviews with a structured career development plan. • International career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Medical insurance. • Dental insurance. • Life insurance.