Senior GenAI Developer
Location: On-site in London; open to remote work from Romania or Poland
6-Month Contract | $82.07/hr USD

Our client, a leading SaaS company headquartered in the San Francisco Bay Area, is seeking a Senior GenAI Developer who can work across the full stack of GenAI applications—from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.

Key Responsibilities

• 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.

Required Qualifications

• 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).

What Makes This Role Exciting

• Lead a greenfield team building transformative AI capabilities from the ground up.
• Work on cutting-edge conversational and agentic AI technologies.
• Build user-facing AI features that directly impact how businesses plan and make decisions.
• Experiment with the latest GenAI models and techniques.
• Collaborate with talented engineers, data scientists, and product designers.
• Solve unique challenges at the intersection of AI and enterprise software.
• Grow your skills in both ML engineering and full-stack development.