Senior AI Engineer

We are seeking a highly skilled and innovative Senior AI Engineer to join our team, where you will design, develop, and deploy cutting-edge AI solutions to address complex business challenges. This is a unique opportunity to work with a team of dedicated professionals, leveraging the latest advancements in LLM technologies and AI systems to deliver impactful solutions.

Responsibilities

• Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
• Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
• Develop and manage robust data pipelines, prompt strategies, and datasets to ensure the effective and accurate performance of AI models (considered a plus)
• Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (considered a plus)
• Conduct research and rapid prototyping to validate technical feasibility and demonstrate the business value of AI solutions
• Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes

Requirements

• 3+ years of experience in AI Engineering
• Strong proficiency in Python; experience with web frameworks like FastAPI or similar
• Understanding of the AI application development lifecycle
• Experience in rapid UI prototyping using frameworks such as Streamlit, Gradio, or similar
• Familiarity with major LLM platforms and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (e.g., LangGraph, LlamaIndex, Strands Agents, etc.)
• Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
• Experience deploying AI solutions at scale, with considerations for performance, cost efficiency, and maintainability
• Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
• Proven experience in AI engineering and delivering ML-based solutions
• Strong problem-solving skills and attention to detail
• Excellent communication, collaboration, and interpersonal skills
• English level of minimum B2 (Upper-Intermediate)

Nice to have

• Experience in designing experiments, conducting A/B tests, and iterating on models based on user feedback
• Understanding of retrieval systems (e.g., keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with emerging protocols such as MCP, A2A, ACP, etc.
• Experience deploying to cloud AI platforms (e.g., Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)
• Experience with enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry
• Experience using observability and monitoring tools and frameworks

Benefits

• Dynamic, entrepreneurial corporate environment
• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunities for personal and career growth in a progressive industry
• Global scope, international projects
• Widespread training and development opportunities
• Access to LinkedIn Learning solutions
• Competitive salary and various benefits
• Advanced wellbeing and CSR programs, recreation area