About the job
We are recruiting a Sr. Applied AI Engineer to drive efficiency and excellence in sales operations by building scalable AI agents and workflows. You will partner with cross-functional teams to optimise sales processes and implement advanced AI solutions. Ideal candidates bring significant experience in applied AI engineering and expertise in real-time agent development.
Responsibilities
Build, tune, and refine AI agents to drive the digitization and streamlining of sales operational tasks
Implement, strategize, and improve AI prompts and context to achieve efficient output, efficiency, and performance
Research, curate, and implement API/MCP integrations
Build orchestrated workflows within and across agents
Apply last-mile data transformations to marry source data with agents
Maintain logic documentation/diagrams, monitor performance, and (re)align agents to changing requirements and evolving technologies
Qualifications
Minimum
BS/Advanced degree in quantitative fields: Computer Science, Data Science, AI/ML Engineering, Business Analytics, Math/Statistics, or a related field
7+ years of experience in applied AI engineering or a related role. At least 2 years in agentic development or with a combination of context and timely engineering.
Expert-level Python proficiency with emphasis on modular, object-oriented code, strict typing, and rigorous unit/integration testing for production
Experience with building real-time interactive agents and batch agentic workflow processes in production
Applied experience with multiple LLM stacks/frameworks (e.g., OpenAI, Claude, Gemini, RAG pipelines), and agent orchestration systems (e.g., LangGraph, AutoGen, CrewAI, or LangChain)
Demonstrated comfort with timely composition strategies (chain-of-thought, few-shot) and context window optimization to ensure high-quality LLM outputs
Familiarity with cloud platforms (AWS/Azure), REST APIs, and containerization (Docker, K8s)
Experience implementing and managing Vector Databases (e.g., Pinecone, Milvus, Weaviate) for RAG pipelines
Proficiency in Databricks and SQL (DDL/DML) driving scalable data architecture and holistically integrating timely builds, vector databases, and memory strategies to deliver advanced LLM solutions
Preferred
No preferred qualifications listed.