Associate Director leading medical engagement transformation for Johnson & Johnson Oncology portfolio. Designing and delivering analytics solutions for enhanced customer engagement in healthcare.
About the role
- Senior AI Agent Engineer designing and deploying LLM-based systems for a leading SaaS commerce platform. Collaborating with cross-functional teams to revolutionize eCommerce growth.
Responsibilities
- Design, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar).
- Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization.
- Design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search.
- Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems.
- Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration.
- Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic to API integrations.
- Implement testing, evaluation and monitoring strategies for agentic systems to ensure performance, reliability, and safety, and effective reasoning, tool usage, and failure handling.
- Collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions.
- Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products.
- Contribute to the architecture and technical roadmap of our AI initiatives.
- Mentor junior engineers and share knowledge within the team.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field
- Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications
- Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks
- Hands-on experience in developing applications utilizing Large Language Models (LLMs) such as Claude, OpenAI (GPT-4, etc.), Google Gemini, or other prominent generative AI models
- Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems
- Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar)
- Practical experience with RAG architectures, embeddings, vector databases, and semantic search
- Experience working with Model Context Protocol (MCP) Servers
- Experience with RESTful APIs and integrating external services
- Solid understanding of software development best practices, including version control (Git), testing, and CI/CD
- Experience with Snowflake is a plus.
- Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.
- Strong communication skills, both written and verbal.
Benefits
- competitive base salary
- attractive bonus
- employee healthcare
- life assurance
- group income protection
- dental care plan
- eye care scheme
- 24 hour on-line GP
- company pension
- cycle to work scheme
- 25 days off + bank holidays + birthdays off
- reduced gym membership
- social events
- employee referral scheme
- personal development plans
- Profitero Hero scheme
- flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Change Enablement Consultant enabling clients through design - led thinking and practical enablement. Role involves collaboration with architects and stakeholders to drive measurable outcomes.
Incident & Problem Manager responsible for critical incident resolution and AI evolution in incident management at Omnissa. Leading operational excellence in a global IT operations organization.
Intern in AI Innovation at Founders Bay Accelerator, supporting startups with AI applications and workflows. Collaborate closely with founding team and engage in hands - on AI projects.
Design and deploy intelligent automation and agentic AI solutions for clients in India. Collaborate on AI strategies and evangelize best practices in the fusion of AI and business.
Digital Transformation & AI Specialist designing digital solutions for a global flower industry company. Enhancing operational efficiency and supporting technological evolution through AI and automation processes.
Strategic Growth Partner shaping and scaling Data & AI footprint in Financial Services. Joining Keyrus, a global consultancy, you'll advise on data transformation agendas.
AI/ML Research and Development Intern at the Applied Research Laboratory, focusing on machine learning and AI technologies. Collaborating with teams on algorithmic solutions and software development.
AI Automation Analyst at Antares responsible for AI initiatives and PMO support. Collaborating on intelligent workflows and automation projects within technology operations.
AI Automation Project Specialist building AI - powered automation across departments at Hone Health. Focused on creating scalable AI solutions with a strong collaborative emphasis.