Senior/Lead 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.

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 +)
• 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

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