Lead AI Engineer

We are seeking aLead AI Engineer to spearhead the design and development of cutting-edge AI solutions, leveraging the latest advancements in generative AI and LLM technologies to deliver seamless and scalable applications for our clients.

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 (Will be a plus)
• Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable and compliant with industry regulations (Will be 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

• 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 or Google Agents Space or Azure AI Foundry
• Experience with observability and monitoring tools and frameworks