Senior AI Engineer - Technology

Job not on LinkedIn

🔥 13 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

DB

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Software • Technology • Consulting

DB is a company that specializes in assisting organizations with digital transformation, focusing on understanding problems and finding optimal solutions. They offer a range of services including Agile design and development, digital innovation, software development, sourcing, and consulting. With a dedicated team, DB emphasizes quality in software engineering and provides tailored technological solutions to meet client demands effectively. Additionally, they promote innovation through their DBLab initiative, ensuring that their approaches are applicable, replicable, and scalable for their clients' success.

📋 Description

• Design the solution's multi-agent architecture, defining agent topology, orchestration strategies, intent routing, and state management across the customer journey • Create and implement specialized agents, defining roles, tools, memory, context and handoff rules between agents at each step of the developed flow • Develop and optimize prompts, policies and guardrails, ensuring consistent, safe behavior aligned with internal guidelines (protection against prompt injection, jailbreak and leakage of sensitive information) • Define and operate evaluation metrics, creating automated testing pipelines and continuously monitoring performance, latency, cost per interaction and response quality • Ensure data security and privacy by implementing access controls, anonymization and interaction traceability • Manage the lifecycle of models and agents in production (versioning, controlled rollouts, drift monitoring and fallback strategies) • Create and maintain technical documentation and engineering standards (agent contracts, prompt templates, operational runbooks and development guidelines) • Collaborate with product, data and software engineering teams to ensure reliable integration of agents with other systems.

🎯 Requirements

• Solid experience developing and deploying GenAI solutions in production (LLMs, RAG and autonomous agents) • Proficiency in Python for AI engineering (agent orchestration, API integration, error handling and resilience) • Experience with agent frameworks such as LangGraph and LangChain • Hands-on experience with RAG (chunking, embeddings, vector indexing, reranking and context relevance evaluation) • Experience evaluating LLMs (defining metrics, creating evaluation datasets) • Knowledge of LLM security practices (prompt injection, jailbreak, output filtering, Llama Guard or equivalents) • Experience with MLOps/LLMOps (experiment tracking, model versioning, production monitoring preferably with MLflow or similar) • Knowledge of SQL and integration with structured data sources and REST APIs • Experience within the Azure ecosystem.

🏖️ Benefits

• iFood voucher (meal allowance) • Financial assistance • Health insurance • Dental insurance • Birthday day off • Life insurance • Extended maternity and paternity leave • Educational partnerships • TotalPass partnership - health and wellness • Clude Saúde partnership • Reimbursement programs • Flexible working hours • Dress code: be yourself.