Senior AI Engineer
We are looking for a Senior AI Engineer who excels at developing custom AI solutions for clients across diverse industries.
Your work will involve designing, implementing, and optimizing chat-based systems, Q&A tools, and agent-driven applications using the latest advances in generative AI. You will partner closely with client teams, guiding them through best practices and helping them leverage state-of-the-art technologies to achieve their goals.
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 business value
- 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
- Deep understanding of the AI development lifecycle
- NLP expertise (classification, NER, retrieval, summarization, etc)
- 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
- Experience with MLflow or alternative MLOps frameworks
- 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 Agent Bricks, Google Agents Space, or Azure AI Foundry
- Experience with observability and monitoring tools and frameworks
- Knowledge of model training and fine-tuning techniques
- Proven ability to build and maintain reliable data pipelines and workflows using Airflow, Argo Workflows, or similar tools
