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- Tasks: Design and develop cutting-edge NLP-driven AI systems using Python.
- Company: esynergy is a tech consultancy focused on delivering impactful solutions for clients.
- Benefits: Enjoy unlimited holiday, a wellbeing budget, and inclusive parental leave.
- Why this job: Join a collaborative team transforming complex data challenges into scalable solutions.
- Qualifications: 2+ years in AI/ML development with strong Python skills and NLP focus.
- Other info: We value honesty, collaboration, growth, and welcome diverse applicants.
The predicted salary is between 43200 - 72000 £ per year.
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:
- Develop state-of-the-art NLP and generative AI solutions using Python.
- Architect and orchestrate complex AI workflows to drive process
automation. - Design, optimise and fine-tune prompts to maximise model performance.
- Implement advanced methods including RAG, vector stores (e.g., FAISS,
ASTRA) and graph-based systems. - Collaborate with product, engineering and data science teams to ensure
seamless deployment and scalability of AI solutions. - Keep abreast of the latest AI, ML and NLP advancement, 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:
Our values define how we do business and interact with our community.
- 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.
Benefits:
We are proud of our inclusive benefits including unlimited holiday, wellbeing budget, LGBTQ+ inclusive parental leave to name a few.
About us:
esynergy is a technology consultancy and we build products, platforms and services to accelerate value for our clients.
We drive measurable impact that is tightly aligned to our clients’ business objectives. Put in practice that means high transparency, metric-driven reporting, and incremental handovers and a consistent 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 are the right fit for our clients’ needs and are not opinionated around specific tech stacks and service offerings.
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GenAI Solution Engineer employer: Synergy Solutions Limited
Contact Detail:
Synergy Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Solution Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in NLP and generative AI. Follow industry leaders on social media, read relevant research papers, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Build a portfolio showcasing your projects related to AI/ML development, especially those involving NLP. Highlight your experience with Python, TensorFlow, and PyTorch, as well as any implementations of RAG or vector storage solutions. A strong portfolio can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and tech community. Attend meetups, webinars, or conferences focused on AI/ML. Engaging with others in the field can lead to valuable connections and insights that may help you land the job.
✨Tip Number 4
Prepare for technical interviews by practicing coding challenges and system design questions related to AI workflows. Focus on prompt engineering and orchestration techniques, as these are crucial for the role. Being well-prepared will boost your confidence and performance during the interview process.
We think you need these skills to ace GenAI Solution Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the GenAI Solution Engineer position. Understand the key responsibilities and required skills, especially focusing on NLP, Python programming, and AI workflow orchestration.
Tailor Your CV: Customize your CV to highlight relevant experience in AI/ML development, particularly in NLP. Emphasize your proficiency in Python and any frameworks like TensorFlow or PyTorch that you have worked with.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your innovative approach to problem-solving. Mention specific projects where you've implemented advanced techniques such as RAG or vector stores, and how they align with the company's values of honesty and collaboration.
Showcase Continuous Learning: In your application, mention any recent courses, certifications, or projects that demonstrate your commitment to staying updated with the latest advancements in AI, ML, and NLP. This shows your proactive approach to growth and innovation.
How to prepare for a job interview at Synergy Solutions Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with NLP and generative AI solutions. Highlight specific projects where you've used Python, TensorFlow, or PyTorch, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Your Understanding of AI Workflows
Since the role involves architecting complex AI workflows, make sure to articulate your experience in workflow orchestration. Discuss any relevant methodologies you've implemented, such as Retrieval-Augmented Generation (RAG) or vector storage solutions.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role. Be ready to share examples of how you've worked with cross-functional teams, including product, engineering, and data science. Emphasize your ability to communicate effectively and drive projects forward.
✨Stay Updated on Industry Trends
The field of AI is constantly evolving. Show your passion for continuous learning by discussing recent advancements in AI, ML, and NLP that excite you. This demonstrates your commitment to integrating innovative approaches into your work.
