GenAI Engineer

📋 Description

• Design, implement, and maintain complex enterprise solutions leveraging Generative Artificial Intelligence, Large Language Models (LLM), and Retrieval-Augmented Generation (RAG).

• Serve as the guardian of quality and robustness for GenAI solutions, leading the implementation of a standardized methodology to deliver real business value.

• Collaborate directly with enterprise clients to translate business challenges into scalable and reliable GenAI architectures.

• Make critical decisions regarding technical approaches, model selection, and retrieval strategies.

• Construct comprehensive RAG pipelines, optimizing each component to enhance relevance and performance.

• Implement robust guardrails to control hallucinations; design and execute ingestion, processing, and structuring pipelines for knowledge sources.

• Establish thorough evaluation frameworks that combine automated metrics, benchmarks, and human assessment.

• Integrate with models such as GPT-4, managing deployments on cloud platforms while optimizing for latency and cost.

• Deploy GenAI agents capable of reasoning and executing actions through tool integration.

• Set up alerts, dashboards, and feedback loops for continuous improvement.

⛳️ Requirements

• Over 3 years of hands-on experience designing and implementing production solutions based on Large Language Models, including RAG systems, conversational agents, and content generation.

• Proven track record of guiding GenAI projects from discovery to production.

• Advanced experience with frameworks such as LangChain, LlamaIndex, or similar technologies.

• In-depth knowledge of LLM platforms (OpenAI API, Anthropic Claude, Google Gemini) and their capabilities for function calling, structured outputs, and JSON mode.

• Strong experience in implementing complete RAG architectures, including document processing, chunking strategies, embedding models (OpenAI, sentence-transformers), vectorstores (Pinecone, Chroma, Weaviate, pgvector), retrieval strategies (semantic search, hybrid search, re-ranking), and generation patterns.

• Demonstrated ability to design and optimize complex prompts using advanced techniques (few-shot, chain-of-thought, ReAct).

• Experience implementing effective guardrails against hallucinations, including grounding, citation enforcement, and validation post-processing.

• Familiarity with multi-agent frameworks such as AutoGen, CrewAI, or LangGraph for orchestrating complex workflows.

• Strong programming skills in Python with experience in developing scalable applications.

• Knowledge of architectural patterns (microservices, event-driven), RESTful APIs, and best software engineering practices (testing, CI/CD, version control).

• Experience implementing ML pipelines in production, including model serving, monitoring, logging, and continuous evaluation.

• Practical experience with AI/ML cloud services on AWS (Bedrock, SageMaker), Google Cloud (Vertex AI), or Azure (OpenAI Service).

• Understanding of ETL/ELT processes, data pipelines, and processing tools (pandas, Apache Spark).

• Experience implementing evaluation frameworks for GenAI systems using automated metrics, human assessment, and benchmarking.

• Familiarity with retrieval metrics (precision, recall, MRR, NDCG) and generation metrics (BLEU, ROUGE, BERTScore).

• Knowledge of security best practices in GenAI, including prompt injection defense, PII protection, access control, and audit logging.

• Exceptional ability to communicate complex technical concepts to diverse audiences, present architectures and trade-offs to executive stakeholders, and create clear and comprehensive technical documentation.

• Ability to translate business requirements into technical solutions, define success metrics aligned with business objectives, and optimize solutions to maximize ROI and customer value.

• Experience in technical consulting or customer-facing roles, with the ability to conduct discovery sessions, manage expectations, and communicate risks and opportunities transparently.

• Proficiency in technical English, both verbal and written, for collaboration with international teams and reading technical documentation.

🏝️ Benefits

• 100% remote work with hours aligned to CST.

• Unlimited PTO: We trust you to manage your time effectively.

• Annual development budget: Access to courses, certifications, and conferences.

• Equipment budget: Set up your ideal remote workspace.

• Health benefit: Access to private medical coverage or subsidies for health insurance.

• Growth opportunities: Career planning and mentorship with experts in AI and technology.

• Dynamic and flexible startup environment: Autonomy to make decisions and propose ideas, focusing on results rather than hours worked.

• Work-life balance: A culture that prioritizes flexibility and well-being, allowing you to manage your time without sacrificing your personal life.