We are
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets.
Our challenge
We are looking for an AI Engineer who will develop and train artificial intelligence tools to help automate processes for businesses. Responsibilities duties include designing and programming artificial intelligence systems, testing the machine learning tools they develop and resolving issues with the algorithms and data to ensure the system works correctly.
The Role
Responsibilities:
- Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
- Optimizing existing generative AI models for improved performance, scalability, and efficiency.
- Ensure data quality and accuracy
- Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models
Requirements:
Strong hands-on experience building Generative AI solutions using LLMs, RAG , Prompt Engineering, AI Agents, LangChain/LangGraph, Semantic Kernel, and vector databases. React, Angular, TypeScript, JavaScript, HTML5, CSS3, and modern UI frameworks Python, ETL, MongoDB, Azure Data Services, Azure AI Search experience.
Strong backend development skills using Python, Node.js, Java, REST APIs, and Microservices Experience building AI-driven enterprise automation solutions Strong understanding of data engineering, APIs, database design, scalability, security, and performance optimization.
Development skills using Python, Node.js, Java, REST APIs, and Microservices
Experience building AI-driven enterprise automation solutions
Strong understanding of data engineering, APIs, database design, scalability, security, and performance optimization.
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