Senior AI Engineer
We are seeking a highly skilled Senior AI Engineer to join our team.
In this role, you will contribute to the development of advanced AI solutions for a variety of business domains. You will collaborate with cross-functional teams and clients to deliver impactful, scalable, and innovative AI-driven products.
Responsibilities
- Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
- Work directly with clients to understand requirements, identify opportunities, and recommend LLM-driven solutions
- Develop and manage robust data pipelines, prompt strategies, and datasets to support effective and accurate AI models
- Evaluate and refine AI system performance to ensure outputs are accurate, secure, scalable, and compliant with industry regulations
- Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions
- Stay up to date with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes
Requirements
- At least 3 years of experience in AI engineering or a related field
- Strong proficiency in Python and experience with web frameworks such as FastAPI or similar
- Understanding of the AI application development lifecycle, from design to deployment
- Experience with rapid UI prototyping using tools like Streamlit, Gradio, or similar frameworks
- Familiarity with major LLM platforms and APIs, including OpenAI, Anthropic, Amazon Bedrock, Gemini, and related frameworks such as LangGraph, LlamaIndex, and Strands Agents
- Knowledge of advanced AI integration patterns, including Retrieval-Augmented Generation (RAG) and agent-based architectures
- Experience deploying AI solutions at scale, with a focus on performance, cost-efficiency, and maintainability
- Ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
- Proven track record in delivering ML-based solutions and AI engineering projects
- Strong problem-solving skills and attention to detail
- Excellent communication, collaboration, and interpersonal skills
- Fluent English skills (written and spoken) at a B2+ level or higher
Nice to have
- Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback
- Understanding of retrieval systems, including keyword search, vector search, embeddings, and ranking algorithms
- Familiarity with emerging protocols such as MCP, A2A, ACP, and others
- Experience deploying to cloud AI platforms like Azure OpenAI, Amazon Bedrock, GCP Vertex AI, or on-premise solutions such as vLLM
- Experience with enterprise AI platforms, including AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry
- Experience with observability and monitoring tools and frameworks for AI systems
