SeniorLead AI Engineer (Python)

We are seeking an experienced and innovative Senior/Lead AI Engineer to spearhead the development deployment and optimization of cutting-edge AI solutions tailored to client-specific needs. This role emphasizes leadership technical excellence and collaboration to deliver impactful scalable AI applications and workflows.

• 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 )
• Evaluate and refine AI system performance ensuring outputs are accurate secure scalable and compliant with industry regulations (Will be )
• Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions
• Stay current with evolving LLM technologies frameworks and methodologies to continuously improve solutions and client outcomes

• 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

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