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An innovative technology consultancy is seeking a talented AI/GenAI Solution Engineer to design and implement advanced NLP-driven AI systems. In this dynamic role, you will leverage your expertise in Python and AI/ML to create scalable solutions that address complex data challenges. Collaborating with cross-functional teams, you'll be at the forefront of integrating cutting-edge techniques such as Retrieval-Augmented Generation and graph-based methodologies. This role offers a unique opportunity to contribute to impactful projects while working in an inclusive and supportive environment that values honesty, collaboration, and growth.
We’re seeking an innovative and technically adept AI/GenAI Solution Engineer
to design, develop and deploy cutting-edge NLP-driven AI systems. In this role,
you will architect robust AI workflows, craft precise prompts and implement
advanced techniques such as Retrieval-Augmented Generation (RAG), vector
stores and graph-based solutions. Working closely with cross-functional teams,
you will be pivotal in transforming complex data challenges into scalable, high-
impact solutions.
Responsibilities:
Requirements:
Values:
Diversity, Belonging & Inclusion:
We welcome all applicants from all backgrounds. esynergy are proud to hire on potential, not specific experience or qualifications, so feel free to reach out if this sounds like you but with less experience.
Benefits:
We are proud of our inclusive benefits, including unlimited holiday, wellbeing budget, LGBTQ+ inclusive parental leave, to name a few. Check out our full list of benefits here.
About us:
esynergy is a technology consultancy that builds products, platforms, and services to accelerate value for our clients.
We drive measurable impact that is tightly aligned with our clients’ business objectives. This means high transparency, metric-driven reporting, incremental handovers, and a focus on building our clients’ capability.
Our delivery teams are small and highly functional, formed by a vetted ecosystem of associates, luminaries, and partners. We choose technologies that fit our clients’ needs and are not opinionated about specific tech stacks and service offerings.