Senior AI Engineer | Join with Sign-on Bonus

We are seeking a highly skilled and innovative Senior AI Engineer to join our team, where you will design, develop, and deploy cutting-edge AI solutions to address complex business challenges. This is a unique opportunity to work with a team of dedicated professionals, leveraging the latest advancements in LLM technologies and AI systems to deliver impactful solutions.

Please read the Terms & Conditions here .

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 the effective and accurate performance of AI models (considered a plus) Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (considered a plus) Conduct research and rapid prototyping to validate technical feasibility and demonstrate the business value of AI solutions Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes Requirements 3+ years of experience in AI Engineering Strong proficiency in Python; experience with web frameworks like FastAPI or similar Understanding of the AI application development lifecycle Experience in rapid UI prototyping using frameworks such as Streamlit, Gradio, or similar Familiarity with major LLM platforms and APIs (e.

g., OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (e.g., Lang. Graph, Llama. Index, 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 English level of minimum B2 (Upper-Intermediate) Nice to have Experience in designing experiments, conducting A/B tests, and iterating on models based on user feedback Understanding of retrieval systems (e.

g., keyword search, vector search, embeddings) and ranking algorithms Familiarity with emerging protocols such as MCP, A2A, ACP, etc. Experience deploying to cloud AI platforms (e.g., Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM) Experience with enterprise AI platforms such as AWS Agent.

Core, Databricks Agent. Bricks, Google Agents Space, or Azure AI Foundry Experience using observability and monitoring tools and frameworks