GenAI Developer
Role details
Job location
Tech stack
Job description
Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments.
Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementations.
Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language.
Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics.
Design and develop APIs that expose AI capabilities to Client's platform and third-party integrations.
Optimize model inference pipelines for performance, cost, and scalability in production environments.
Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior.
Collaborate with data scientists to productionize ML models and forecasting algorithms.
Write comprehensive tests, including unit tests, integration tests, and prompt regression suites.
Participate in code reviews, technical design discussions, and knowledge-sharing sessions.
Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption., A global consulting firm is seeking a Global IT Software Engineer Senior Manager to lead the development and optimization of cutting-edge Generative AI tools. This role involves collaborating with cross-functional teams to ensure the successful delivery of scalable software..., A leading technology firm in the UK is seeking a Head of Data Science to lead the development and implementation of advanced AI solutions. The ideal candidate will have significant leadership experience in data science, a track record of managing diverse teams, and..., A leading autonomous driving technology company in Greater London seeks a passionate Machine Learning Engineer to enhance evaluation systems for autonomous vehicles. The role involves developing cutting-edge deep learning models, collaborating with cross-functional teams,...
Requirements
4+ years of software engineering experience, with 2+ years focused on ML/AI systems.
Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers).
Experience building and deploying LLM-powered applications in production.
Proficiency in front-end development with React, TypeScript, and modern web technologies.
Understanding of RESTful API design, microservices architecture, and cloud infrastructure.
Experience with prompt engineering and RAG systems.
Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems.
Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
Excellent problem-solving skills and attention to detail.
Bachelor's degree in Computer Science, Machine Learning, or a related field.
Preferred Qualifications
Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar).
Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models.
Experience with model serving frameworks (vLLM, TensorRT, Ray).
Background in forecasting, planning, or analytics applications.
Familiarity with Client or similar enterprise planning platforms.
Experience with A/B testing and experimentation frameworks for AI features.
Contributions to open-source ML projects or research publications.
Experience with model observability tools (LangSmith, W&B, MLflow)., A leading global biopharma company is seeking a Senior Product Manager to drive the roadmap for molecular design products. Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below. This role involves...
Benefits & conditions
Senior GenAI DeveloperLocation: On-site in London; open to remote work from Romania or Poland6-Month Contract | $82.07/hr USD
