Mô Tả Công Việc
As a Senior AI Engineer within Dirox Labs, you are the "Gear Maker." You don't just follow algorithms; you architect the advanced tools that allow our clients to scale the steepest summits of the digital landscape.Forge the Gear: Lead the R&D efforts to create internal IP, AI Agents, and Accelerators that speed up delivery and provide unique value to our partners.Secure the Ascent: Ensure the robustness of AI solutions against vulnerabilities like prompt injection, acting as a "Shield" for our clients' data.Bridge the Intelligence: Collaborate with Dirox Studio and Insights to integrate complex LLMs and RAG systems into actionable business roadmaps.Sherpa Mentorship: Foster a culture of "Deep Understanding" by mentoring team members in AI principles and generative AI best practices.WHAT YOU'LL DO ("THE CLIMB")To provide "Peace of Mind" through technology, you will:Integrate & Orchestrate: Connect LLMs and external systems using MCP and/or RAG architectures.Optimize Performance: Fine-tune prompts and AI workflows to ensure maximum accuracy and system efficiency.Engineered Connectivity: Collaborate with frontend teams to expose APIs for micro frontends, supporting real-time streaming integrations (SignalR/WebSockets).Architect for Scale: Contribute to system architecture, focusing on scalability, observability, and cloud-native excellence.Deploy with Precision: Support containerization and deployment using Docker and Kubernetes within an Agile, product-driven environment.
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Yêu Cầu Công Việc
The Core (Must-Have):5+ Years of Engineering: Deep experience in software development with Python, Java, .Net, or similar languages.Familiarity with Microservices, Micro frontend architectureAI Foundations: Large Language Models (LLMs), Generative AIPrompt engineeringEmbeddings and vector search (RAG)ML Fundamentals: Understanding of the ML pipeline (data preprocessing, feature engineering, model training, evaluation)Experiment with fine-tuning pre-trained models (BERT, GPT-based or Ollama)Infrastructure: Familiarity with cloud platforms (AWS, GCP or On-premises)Mastery of containerization (Github, Docker, Kubernetes) and modern CI/CD pipelines.Communication: Fluent English to collaborate with global clients and cross-functional "Sherpa" teams.The Sherpa Mindset:Holistic Vision: You understand how AI integration impacts the entire ecosystem, from the database to the end-user experience.Strategic Growth: You look beyond the immediate ticket to design next-gen AI solutions for global giants.Nice to Have:Familiarity with ML frameworks(PyTorch, TensorFlow, ..)Proven track record of deploying Generative AI in production settings.Professional certifications (Google AI Engineer, AWS Machine Learning Specialty).
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Quyền Lợi
Rewarding Your "Sherpa" SpiritCompetitive salary (100% paid during probation) honoring your expertise.13th month bonus for all, plus a 14th month "Summit" bonus for exceptional performance.Paid overtime (150-350%) – we value every extra mile you go.Ensuring Your "Peace of Mind" Comprehensive health insurance to keep you ready for the climb.14+ annual leave days (increasing with seniority) to recharge.Hybrid & Flexible: Monday to Friday work policy with remote options – meaningful work requires a balanced life.Life at "Base Camp" (Office Life)Free snacks, drinks, and parking – fueling your daily journey.A friendly relaxation space to connect with fellow "Pathfinders."Fun get-togethers, sports clubs, and our legendary Annual Company Trip.Empowering You to Lead & Build Cross-Pillar Growth: Opportunities to rotate and learn across Studio (Eng), Insights (Consulting), and Labs (R&D).Professional training allowance & mentorship from seasoned industry veterans.Workshops, language classes, and international career opportunities (Europe & America).Impact Beyond CodeInnovation: Join Dirox Labs projects with real social impact (moving from "Need" to "Desire").Community: Charity events, aid, and scholarship sponsorships.Culture: A human-sized company where you are a name, not a number.