Engineering Lead - Hands-On Backend Focus (Python) / Full-Stack Experience

Orbio
Municipality of Granada, Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Municipality of Granada, Spain

Tech stack

JavaScript
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Computer Programming
Continuous Integration
Software Design Patterns
DevOps
Django
Memory Management
Fault Tolerance
Design of User Interfaces
Python
NoSQL
Open Source Technology
Performance Tuning
Queueing Systems
RabbitMQ
Redis
Software Engineering
SQL Databases
Twilio
Data Logging
Data Storage Technologies
Chatbots
React
Large Language Models
Multi-Agent Systems
Prompt Engineering
Model Validation
Caching
Generative AI
Backend
HR Software
Low Latency
Celery
Virtual Agents
Api Design
GPT

Job description

About OrbioOrbio is an AI-native human capital management platform building aDigital Workforce for HR.We design and deploy agentic systems that take ownership of operational execution across hiring, onboarding, and employee operations - while keeping humans in control.We work with large, complex organizations across sectors such as staffing, retail, hospitality, and healthcare. Our customers operate at high volume and rely on Orbio to reduce operational friction, improve speed and quality, and scale their teams without proportional headcount growth.Orbio is not a system of record. We sit on top of existing HR systems and own theexecution and coordination layer- where day-to-day work actually happens.Position OverviewOrbio is looking for a backend-focused Python engineer to take on aTech Leadrole and help build our conversational, agentic AI platform.As a senior / founding-level engineer, you will play a key role in architecting and scaling intelligent workflow systems that support hiring, onboarding, and employee experiences in real enterprise environments.You will help build an end-to-end, production-grade B2B platform with a strong focus on LLMs, autonomous agents, and conversational AI, defining core technical foundations that will scale across customers and markets.What You'll DoSet technical strategy and architectural direction for the platformDrive technical decisions balancing innovation with production reliabilityCollaborate with product and business stakeholders to translate requirements into technical roadmapsHands-on contribution to critical systems while scaling the teamLead, mentor, and grow a high-performing engineering teamEstablish engineering best practices, code quality standards, and development processesAll the desired Technical Skills we are looking forPython expertiseAsync programming, API development, real-time ASGI, Django/ChannelsTesting, logging, monitoring, performance optimizationProduction-grade application developmentKnowledge of data storage solutions (both SQL and NoSQL)Async message queues (Celery + RabbitMQ / Redis)Experience with high-throughput, low-latency systemsLLMs usageStrong understanding of LLMs, prompt engineering, chaining, caching and model fine-tuningExperience with both open-source and closed-source LLMsExperience with Retrieval-Augmented Generation (RAG) and vector databasesExperience with LLM frameworks such as LlamaIndexUnderstanding of model evaluation metrics and performance benchmarksLLM cost-optimisation strategiesLLM guardrails and security best practicesAgentic AI developmentExperience with agentic frameworks and agent design patternsImplementation of planning and reasoning systemsMulti-agent architectures and agent orchestration/delegationTool implementation and function calling (API wrapper, validation, error handling)Context management and long-term knowledge preservationMulti-agent evaluation and testing (consistency, performance, reliability)Conversational AIUsing STT and TTS modelsManaging turn-talking / interruption (voice activity detection)Telephony systems (Twilio, IVR) implementation with focus on latency optimizationVoice interface design and conversation flow architectureLLM interaction including function callingConversation memory management and context preservation (+ RAG)Multi-modal conversation handling (voice, text, visual inputs)Implementation of fallback strategies and graceful degradationFull-Stack & DevOpsFull-stack experience with JavaScript frameworks (React preferred)CI/CD pipelinesCloud platforms (AWS/GCP/Azure)Deploying and scaling AI systems in productionLeadership ExperienceExperience defining technical roadmaps and architectureStrong communication skills across technical and non-technical stakeholdersStartup or high-growth environment experience preferredTrack record of leading and growing engineering teamsWhat Success Looks Like at OrbioCore backend and agentic systems run reliably in production at enterprise scaleAI workflows meaningfully reduce operational friction for customer teamsThe platform compounds: new deployments get faster and more robust over timeTechnical foundations support autonomy, observability, and safe decision-makingEngineering velocity stays high without sacrificing reliabilityCulture at OrbioOrbio is a high-bar, high-intensity environment. We optimize for impact, speed, and ownership - not comfort.We operate as one team, with a flat structure and extreme ownership. We ship fast, learn from production, and challenge each other directly because we care about building something that lasts. Titles matter less than outcomes. Customers come first. Momentum matters.#J-*****-Ljbffr

Requirements

Strong understanding of LLMs, prompt engineering, chaining, caching and model fine-tuning Experience with both open-source and closed-source LLMs Experience with Retrieval-Augmented Generation (RAG) and vector databases Experience with LLM frameworks such as LlamaIndex Understanding of model evaluation metrics and performance benchmarks LLM cost-optimisation strategies LLM guardrails and security best practices Agentic AI development Experience with agentic frameworks and agent design patterns Implementation of planning and reasoning systems Multi-agent architectures and agent orchestration/delegation Tool implementation and function calling (API wrapper, validation, error handling) Context management and long-term knowledge preservation Multi-agent evaluation and testing (consistency, performance, reliability) Conversational AI Using STT and TTS models Managing turn-talking / interruption (voice activity detection) Telephony systems (Twilio, IVR) implementation with focus on latency optimization Voice interface design and conversation flow architecture LLM interaction including function calling Conversation memory management and context preservation (+ RAG) Multi-modal conversation handling (voice, text, visual inputs) Implementation of fallback strategies and graceful degradation Full-Stack & DevOps Full-stack experience with JavaScript frameworks (React preferred) CI/CD pipelines Cloud platforms (AWS/GCP/Azure) Deploying and scaling AI systems in production Leadership Experience Experience defining technical roadmaps and architecture Strong communication skills across technical and non-technical stakeholders Startup or high-growth environment experience preferred Track record of leading and growing engineering teams

Benefits & conditions

Core backend and agentic systems run reliably in production at enterprise scale AI workflows meaningfully reduce operational friction for customer teams The platform compounds: new deployments get faster and more robust over time Technical foundations support autonomy, observability, and safe decision-making Engineering velocity stays high without sacrificing reliability Culture at Orbio Orbio is a high-bar, high-intensity environment. We optimize for impact, speed, and ownership - not comfort. We operate as one team, with a flat structure and extreme ownership. We ship fast, learn from production, and challenge each other directly because we care about building something that lasts. Titles matter less than outcomes. Customers come first. Momentum matters. #J-*****-Ljbffr

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