AI Engineer

Description

Job Summary: We are seeking Specialist AI Engineers to transform real-world problems into production-ready AI-powered software solutions, combining software engineering and machine learning techniques. Key Highlights: 1. Build AI-native products and services with a focus on customer experience. 2. Work with the most up-to-date Generative AI and Agentic Systems technologies. 3. Data-driven culture delivering real impact for customers and partners. We seek **Specialist AI Engineers** who want to transform real-world problems into production-ready AI-powered software solutions. Here, you’ll combine the best of software engineering with machine learning techniques (such as traditional models and NLP) and the latest in Generative AI — LLMs and technologies including GPT\-4\.1/o4\-mini, Claude 4 (Sonnet 4/Opus 4\), Gemini 3\.0 Pro/Flash, LLaMA 4 Maverick/Scout, Mistral Large 2, DeepSeek\-V3/R1, Qwen 3\.5, among others. Plus Agentic Systems featuring orchestration of autonomous agents via protocols such as MCP and A2A. We’re starting from a blank slate to build AI-native products and services — delivering great customer experience, resilience, and speed. We foster a data-driven culture where decisions are guided by evidence, metrics, and continuous learning. As an AI Engineer, you’ll play a central role in: * Designing and evolving solutions, * Building robust and scalable systems, * Deploying models and services to production with quality, * Ensuring everything delivers real value to customers, partners, and internal teams. We seek individuals with a strong engineering foundation, solid understanding of ML, excellent communication skills, and energy to tackle large challenges — collaborating, influencing, and elevating the team. **If you want to help reshape how organizations use AI for their technologies, products, and services, join us.** **Responsibilities and Duties** As a Specialist AI Engineer, you’ll play an essential role in transforming business needs into production-ready AI solutions. This means actively participating in technical decisions and continuously evolving our products and platforms. Day-to-day, you will: * Collaborate with multidisciplinary teams (Product, Data, Engineering, Security, etc.) to understand the problem, define the approach, and deliver business impact. * Help technically lead deliveries: plan, decompose, prioritize trade\-offs, and ensure high-quality, predictable execution. * Actively contribute to architecture (services, integrations, performance, scalability, resilience), conduct POCs when needed, and translate learnings into product. * Maintain clear and up-to-date documentation (services, applications, technical decisions), facilitating knowledge sharing and system maintenance. * Select the best tools and technologies for each challenge, focusing on efficiency, security, and delivery excellence. * Operate and evolve production systems, monitoring models and services, ensuring result consistency and rapid response to incidents or changes. * Build Generative AI solutions such as chatbots/assistants, text interpretation and generation, semantic search (RAG), recommendation, and other business-aligned use cases. * Design and implement Agentic Systems — autonomous and semi\-autonomous agents with orchestration, memory, planning, and integration via protocols such as MCP (Model Context Protocol) and A2A (Agent\-to\-Agent). **Requirements and Qualifications** * Excellent communication and collaboration across diverse areas. * Experience with at least one cloud platform: AWS, GCP, OCI, or Azure. * Solid experience developing APIs/microservices, Docker, and Kubernetes. * System observability (Grafana, Prometheus, OpenTelemetry, Dynatrace, Datadog). * Experience with relational databases (Aurora, PostgreSQL, Oracle, SQLServer, MySQL) and non-relational databases (MongoDB, Redis, Memcached, Elasticsearch, Neo4j). * Advanced experience in at least one of the following languages: Python, Java, Kotlin, Scala, GoLang, and/or Rust, demonstrating high-level programming skills. * Experience with at least one messaging technology (Kafka, SQS/SNS, RabbitMQ, NATS, Redpanda). * Foundational knowledge of Generative AI and familiarity with LLMs (GPT\-4\.1/o4\-mini, Claude 4 Sonnet/Opus, Gemini 3\.0 Pro/Flash, LLaMA 4 Maverick, Mistral Large 2, DeepSeek\-V3/R1\). * Passion for technology and an innovative mindset, with active interest in tracking the latest trends and advances in AI and software engineering. * Practical experience using agent/copilot-based tools (e.g., GitHub Copilot, Cursor, Windsurf, Claude Code, ChatGPT or similar) in daily development. * Experience handling large-scale data and distributed programming, demonstrating ability to solve scalability and performance challenges. * Advanced analytical and complex problem-solving abilities, combined with an organized and structured approach. * Experience making data-driven technical decisions. **Additional Information** * Knowledge of Machine Learning, with emphasis on at least one of the following techniques: NLP, classification models, clustering, *information retrieval*, recommendation systems, and OCR. * Experience with GenAI projects in production: assistants, autonomous agents, copilots, RAG, semantic search. * Experience with agent frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, OpenAI Agents SDK, Google ADK. * Familiarity with agent interoperability protocols: MCP (Model Context Protocol) and A2A (Agent\-to\-Agent). * Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector, Milvus) and embedding/reranking strategies. * Experience with LLM observability: LangSmith, Langfuse, Arize Phoenix, OpenLLMetry. * Experience with LLM guardrails and safety: Guardrails AI, NeMo Guardrails, prompt injection detection. * Experience with MLOps: MLflow, Weights \& Biases, SageMaker, or Vertex AI. * Participation in open-source projects. * Relevant academic background in Computer Science, Engineering, Mathematics, or related fields — especially Master’s and/or PhD degrees. * Publications and community contributions: Active participation in conferences, publications in scientific journals, or significant contributions to open-source projects in Data Science and Machine Learning. * Experience handling financial data: Knowledge and experience processing financial data, including transaction processing, data security, and privacy. We are LionX, a holding company composed of businesses focused on cutting-edge technology and continuous innovation. We transform how people and businesses connect. We build innovative digital products — such as a comprehensive chat platform integrating messaging, social media integration, marketplace, and artificial intelligence — alongside full-service offerings in storage, databases, AI, all within a single ecosystem. Here, you’ll work with scalable technologies and solutions, contributing to building new platforms, modern infrastructure, automation, observability, and essential components that ensure high availability, performance, and sustainable growth. We value autonomy, collaboration, and continuous learning. If you seek real challenges, scalable impact, and the opportunity to build meaningful products from the ground up, this is your place. Join our team!