Why Join ExadelWe're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.From AI platforms to digital transformation, we partner with enterprise leaders to build what's next.
What powers it all?
Our people are ambitious, collaborative, and constantly evolving.Job OverviewWe are seeking a skilled AI Engineer to join our innovation-driven team.
This role involves designing intelligent agents, building advanced prompts and knowledge bases, and developing AI/ML solutions that drive automation and business transformation.
You'll work autonomously with cutting-edge tools and have the freedom to experiment and evolve your approach.What You'll DoDesign, implement, and manage AI agents, including the development of advanced prompts and knowledge basesBuild and maintain robust data pipelines for AI-driven solutionsDevelop process automation using both traditional and generative AI techniquesContinuously test, refine, and optimize models, prompts, and agents to ensure performance and scalabilityAct autonomously in selecting technologies and methodologies, providing technical justificationStay up to date with advancements in data science, AI, and ML, proactively identifying opportunities to apply them to business challengesFormulate hypotheses, run experiments, validate concepts, and apply appropriate metrics to measure resultsWhat You BringBachelor's degree in Engineering, Computer Science, Mathematics, or related fieldsStrong experience in Python (preferred), SQL, and/or Java/ScalaFamiliarity with frameworks like FastAPI, Flask, or DjangoDeep understanding of both traditional and generative AI techniques applied to complex business problemsHands-on experience with AWS solutions, especially AWS Bedrock and SageMakerProven experience in prompt engineering, management, and optimizationAdvanced knowledge of prompting techniques: few-shot learning, chain-of-thought, self-consistency, prompt chaining, guardrailsExperience building and utilizing knowledge bases to support AI solutionsFull project lifecycle experience in ML/AI projects, from prototyping to deploymentFamiliarity with platforms such as Hugging Face, OpenAI, LangChain, or similarKnowledge of MLOps and tools such as MLflow, Databricks, Vertex AI, or SageMakerExperience in projects involving NLP, copilots, content generation, or task automation using generative AI