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We are seeking a Senior AI Engineer to design and develop comprehensive AI applications, including chatbots and Q&A platforms.
You will work closely with clients to identify needs and deliver solutions powered by large language models. This role involves building data pipelines, refining AI performance, and staying up to date with the latest AI technologies. Join us to contribute your expertise and help shape innovative AI solutions that enhance client outcomes.
Responsibilities
- Design and build end-to-end AI applications such as chatbots, Q&A platforms, and agent workflows
- Collaborate directly with clients to understand requirements, identify opportunities, and propose LLM-driven solutions
- Develop and maintain robust data pipelines, prompt strategies, and datasets to support AI models
- Assess and optimize AI system performance ensuring accuracy, security, scalability, and compliance
- Conduct research and rapid prototyping to validate AI solution feasibility and demonstrate business value
- Stay informed about advancements in LLM technologies, frameworks, and methodologies
- Evaluate generative AI outputs using retrieval, classification, and LLM-based metrics
- Deploy AI solutions considering performance, cost efficiency, and maintainability
- Work with cross-functional teams to implement AI integrations and ensure solution quality
Requirements
- Proficiency in Python with experience using web frameworks such as FastAPI or equivalents
- Understanding of AI application development lifecycle
- Experience with rapid UI prototyping tools like Streamlit, Gradio, or similar
- Familiarity with major LLM platforms and APIs including OpenAI, Anthropic, Amazon Bedrock, and Gemini
- Knowledge of advanced AI integration techniques such as retrieval-augmented generation and agent frameworks
- Experience deploying scalable AI solutions with attention to performance and cost
- Proven track record in AI engineering and implementing ML-based applications
- Strong problem-solving skills with attention to detail
- Excellent communication and collaboration skills
- Strong written and verbal English communication skills (B2+)
Nice to have
- Experience designing experiments and conducting A/B testing with model iteration
- Understanding of retrieval systems including keyword and vector search, embeddings, and ranking algorithms
- Familiarity with emerging AI protocols such as MCP, A2A, ACP
- Experience deploying AI solutions on cloud platforms like Azure OpenAI, Amazon Bedrock, GCP Vertex AI or on-premise systems
- Knowledge of enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry
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