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GenAI Solution Engineer

Synergy Solutions Limited

United Kingdom

On-site

GBP 50,000 - 90,000

Full time

21 days ago

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Job summary

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.

Benefits

Unlimited Holiday
Wellbeing Budget
LGBTQ+ Inclusive Parental Leave

Qualifications

  • 2+ years of experience in AI/ML development with a focus on NLP.
  • Proficiency in Python and frameworks like TensorFlow and PyTorch.

Responsibilities

  • Develop NLP and generative AI solutions using Python.
  • Architect complex AI workflows for process automation.

Skills

AI/ML Development
NLP
Python Programming
Prompt Engineering
Cloud Platforms (AWS, Azure, GCP)

Education

Degree in Computer Science
Equivalent Experience

Tools

TensorFlow
PyTorch
FAISS
ASTRA

Job description

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:

  1. Develop state-of-the-art NLP and generative AI solutions using Python.
  2. Architect and orchestrate complex AI workflows to drive process automation.
  3. Design, optimise and fine-tune prompts to maximise model performance.
  4. Implement advanced methods including RAG, vector stores (e.g., FAISS, ASTRA) and graph-based systems.
  5. Collaborate with product, engineering and data science teams to ensure seamless deployment and scalability of AI solutions.
  6. Keep abreast of the latest AI, ML and NLP advancements, continuously integrating innovative approaches into your work.

Requirements:

  • Demonstrable experience in AI/ML development, with a strong focus on NLP.
  • Advanced Python programming skills, with proficiency in frameworks such as TensorFlow and PyTorch.
  • Proven expertise in AI workflow orchestration and prompt engineering.
  • Solid understanding of RAG, vector storage solutions and graph-based methodologies.
  • Minimum of 2 years’ experience in AI/ML development, supported by a degree in Computer Science or a related discipline (or equivalent experience).
  • Cloud platform experience (AWS, Azure, GCP) is highly desirable.

Values:

  • Honesty
  • Collaboration
  • Growth

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.

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