Lead AI Engineer – Generative AI, LLMOps
Somnio Software
full-time
Posted on:
Location Type: Remote
Location: Argentina
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Job Level
About the role
- Architect and implement the generative intelligence core of our upcoming project
- Design the RAG (Retrieval-Augmented Generation) architectures
- Select the appropriate model stacks
- Ensure AI outputs are grounded, safe, and performant
- Work in lockstep with the Technical Leader to integrate AI services
- Mentor the team on AI engineering best practices
Requirements
- 8+ years of professional experience in Software Engineering
- LLM Orchestration Mastery: Deep expertise in frameworks like LangChain, LlamaIndex, or Haystack
- RAG Architecture: Proven experience implementing Retrieval-Augmented Generation, including chunking strategies, embedding models, and vector database management (e.g., Pinecone, or pgvector)
- Advanced Prompt Engineering: Expertise in systematic prompt optimization, few-shot prompting, and Chain-of-Thought techniques
- Model Integration & Selection: Deep understanding of proprietary models (OpenAI, Anthropic, Gemini) and open-source models (Llama 3, Mistral)
- Python Proficiency: Expert-level Python skills, including asynchronous programming
- Evaluation & Observability: Experience setting up AI evaluation frameworks (e.g., RAGAS, TruLens, or LangSmith)
- API & Backend Integration: Ability to design robust APIs (FastAPI/Flask)
- English C1: Ability to explain complex AI concepts to stakeholders and non-technical clients.
- Fine-tuning Experience: Practical experience fine-tuning open-source models (PEFT, LoRA, QLoRA)
- LLMOps & Deployment: Experience with automated deployment of AI models using tools like BentoML, Modal, or AWS SageMaker
- AI Security: Knowledge of LLM-specific vulnerabilities and mitigation strategies
- Multi-modal AI: Experience working with Vision-Language models or Audio-to-Text/Text-to-Audio pipelines
- Product Thinking: A strong sense of "AI UX"; understanding when a feature should be an agentic workflow versus a simple deterministic function.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
LLM OrchestrationRAG ArchitectureAdvanced Prompt EngineeringModel IntegrationPythonEvaluation & ObservabilityAPI IntegrationFine-tuningLLMOpsAI Security
Soft skills
MentoringCommunication