Generative AI Engineer
| Dyddiad hysbysebu: | 15 Awst 2025 |
|---|---|
| Cyflog: | £44,000 i £47,000 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 13 Medi 2025 |
| Lleoliad: | Milton Keynes, Buckinghamshire |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | GAK ENTERPRISES LTD |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | GAIE_GAK_08_2025_06 |
Crynodeb
We are looking for a highly skilled and passionate Generative AI Engineer to join our AI/ML team.
In this role, you will work on designing and building solutions using advanced generative AI models along with cutting-edge deep learning techniques. You will collaborate with cross-functional teams to develop impactful AI solutions that integrate seamlessly into business workflows.
Responsibilities
Collaborate with product, engineering, and research teams to integrate GenAI capabilities into applications and services.
Research, evaluate, and implement the latest advancements in generative AI and large language models (LLMs).
Maintain and iterate on prompt engineering strategies to optimize model outputs.
Experienced on various prompt engineering techniques.
Participate in prompt tuning, RLHF, and benchmarking experiments for performance and accuracy.
Work with vector databases (e.g., FAISS, PGVector, Pinecone) for retrieval-augmented generation (RAG) and semantic search use cases.
Design scalable, observable, and resilient generative AI pipelines for real-world applications.
Monitor model performance and continuously improve efficiency, accuracy, and user experience.
Qualifications
Strong experience in deep learning and NLP, especially LLMs and generative models.
Proficiency in Python and ML libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs.
Experience with prompt engineering, few-shot learning, and fine-tuning LLMs.
Familiarity with ML Ops/LLMOps and distributed systems.
Experience working with vector databases and RAG pipelines.
Solid understanding of system design patterns, scalability, observability, and performance tuning.
Strong analytical and problem-solving skills.
Passion for exploring and building with emerging AI technologies.
In this role, you will work on designing and building solutions using advanced generative AI models along with cutting-edge deep learning techniques. You will collaborate with cross-functional teams to develop impactful AI solutions that integrate seamlessly into business workflows.
Responsibilities
Collaborate with product, engineering, and research teams to integrate GenAI capabilities into applications and services.
Research, evaluate, and implement the latest advancements in generative AI and large language models (LLMs).
Maintain and iterate on prompt engineering strategies to optimize model outputs.
Experienced on various prompt engineering techniques.
Participate in prompt tuning, RLHF, and benchmarking experiments for performance and accuracy.
Work with vector databases (e.g., FAISS, PGVector, Pinecone) for retrieval-augmented generation (RAG) and semantic search use cases.
Design scalable, observable, and resilient generative AI pipelines for real-world applications.
Monitor model performance and continuously improve efficiency, accuracy, and user experience.
Qualifications
Strong experience in deep learning and NLP, especially LLMs and generative models.
Proficiency in Python and ML libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs.
Experience with prompt engineering, few-shot learning, and fine-tuning LLMs.
Familiarity with ML Ops/LLMOps and distributed systems.
Experience working with vector databases and RAG pipelines.
Solid understanding of system design patterns, scalability, observability, and performance tuning.
Strong analytical and problem-solving skills.
Passion for exploring and building with emerging AI technologies.