Senior AI Engineer

We are looking for a skilled and innovation-driven AI Engineer to join our team and spearhead the development of cutting-edge generative AI solutions.
If you're passionate about artificial intelligence and adept at building systems that deliver measurable business impact, this opportunity is ideal for you. Work with a dynamic group of professionals to create and deploy AI-driven technologies that tackle real-world challenges while working in a collaborative and forward-focused environment.
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 effective and accurate AI models
Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable and compliant with industry regulations
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
Strong proficiency in Python, experience with web frameworks like FastAPI or similar
Understanding of the AI application development lifecycle
Experience with rapid UI prototyping using Streamlit, Gradio or similar frameworks
Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (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
Nice to have
Experience designing experiments, conducting A/B tests and iterating on models based on user feedback
Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
Familiarity with emerging protocols such as MCP, A2A, ACP, etc.
Experience deploying to cloud AI platforms (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 with observability and monitoring tools and frameworks