AI Engineer

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🕒 January 12

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DKSH Portugal, Unipessoal, Lda.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

🤝 B2B

💊 Pharmaceuticals

💄 Beauty

B2B • Pharmaceuticals • Beauty

DKSH Portugal, Unipessoal, Lda. is the Portuguese operation of DKSH, a global market‑expansion services provider that helps multinational companies distribute, market and sell specialty chemicals, ingredients (food & beverage, personal care), pharmaceuticals and performance materials. The company offers end‑to‑end B2B services — including distribution, marketing, sales, logistics and regulatory support — to help partners grow their presence in Portugal and connect local markets with global brands.

📋 Description

• Build and orchestrate LLM agents using Gemini Pro and LangChain • Design, implement, and operate RAG solutions at scale • Integrate with Gemini and Vertex AI services using API-driven architectures • Debug and optimize end-to-end LLM pipelines, including: chunking strategies, embeddings, retrieval logic, LLM response behavior • Deliver production-ready AI services, including monitoring, rate limiting, and reliability controls • Participate in solution design and technical decision-making • Continuously evaluate and experiment with new LLM models and features as they become available • Implement AI safety, security, and compliance controls across the AI lifecycle • Collaborate with cross-functional teams across time zones

🎯 Requirements

• Strong AI Engineer / Senior Individual Contributor • Hands-on experience integrating Gemini Pro 1.x via API endpoints • Strong experience building LLM agents using LangChain or similar frameworks • Advanced understanding of prompt engineering and agent orchestration • Proven ability to debug end-to-end LLM systems, including chunking, embeddings, retrieval, and generation layers • Hands-on experience with vector databases (Pinecone, Chroma, FAISS) • Strong understanding of RAG architectures at scale • Practical knowledge of RAG evaluation metrics, including: Precision@K, Recall@K, MRR, nDCG, Faithfulness and Answer Relevance • Strong hands-on experience with Google Cloud Platform, including: Storage services, Serverless compute, Search, Transcription, Chat / conversational services • Practical experience in multi-cloud environments • Working experience integrating AWS services alongside GCP • Excellent programming skills in Python, PySpark, or Java • Strong experience building scalable, API-based AI solutions • Solid understanding of API rate limiting, performance tuning, and reliability • Hands-on experience implementing AI safety and guardrails, including: Input validation, PII detection and redaction, Reliability and hallucination checks, Compliance controls • Knowledge of multi-layered security, including IAM, data isolation, and audit logging

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events