Why Join Exadel
We'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 Overview
We 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 Do
Design, implement, and manage AI agents, including the development of advanced prompts and knowledge bases
Build and maintain robust data pipelines for AI-driven solutions
Develop process automation using both traditional and generative AI techniques
Continuously test, refine, and optimize models, prompts, and agents to ensure performance and scalability
Act autonomously in selecting technologies and methodologies, providing technical justification
Stay up to date with advancements in data science, AI, and ML, proactively identifying opportunities to apply them to business challenges
Formulate hypotheses, run experiments, validate concepts, and apply appropriate metrics to measure results
What You Bring
Bachelor's degree in Engineering, Computer Science, Mathematics, or related fields
Strong experience in Python (preferred), SQL, and/or Java/Scala
Familiarity with frameworks like FastAPI, Flask, or Django
Deep understanding of both traditional and generative AI techniques applied to complex business problems
Hands-on experience with AWS solutions, especially AWS Bedrock and SageMaker
Proven experience in prompt engineering, management, and optimization
Advanced knowledge of prompting techniques: few-shot learning, chain-of-thought, self-consistency, prompt chaining, guardrails
Experience building and utilizing knowledge bases to support AI solutions
Full project lifecycle experience in ML/AI projects, from prototyping to deployment
Familiarity with platforms such as Hugging Face, OpenAI, LangChain, or similar
Knowledge of MLOps and tools such as MLflow, Databricks, Vertex AI, or SageMaker
Experience in projects involving NLP, copilots, content generation, or task automation using generative AI