• To work closely with the project team in the areas of design, requirement gathering, implementation, coding and testing.
• To ensure all source codes are bug free, optimized, written and documented in compliance to company’s standard.
• Must be able to contribute as a team member in terms of providing input during the design phase; engage in discussion actively to resolve bottlenecks in the development process.
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Project Management : In project management, the leader would participate or sometimes lead certain projects. This includes : The new system goes live. New scope transition. New site transition. The leader would be expected to: Support/Lead transition activities (including knowledge transfer, hiring, training, etc). Support the transition team in resource allocation/management. Involve in Hypercare
People-oriented mindset, highly accountable, agile, and results-oriented. Acts as a servant leader. Lives the Roche values and leadership commitments, has a growth mindset and drives a collaborative culture in the organization. Represent and support the desired ways of working (Agile, LEAN, ITIL, VACC). Ability to work in, co-create and contribute to a highly complex and team-oriented global environment.
Ability to work in, and contribute to, a fast-paced and changing environment, where multiple priorities need to be effectively managed, while maintaining composure and flexibility in a structured and highly complex environment. Drive cost-conscious spending behavior to manage team expenses. Able to thrive in a high performing organization. Have a strong entrepreneurial mindset to trust in your capabilities and power to influence outcomes
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Job SummaryWe are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on building practical AI applications and integrating LLM capabilities with existing applications, APIs, databases, and enterprise systems.Key ResponsibilitiesDesign and develop AI chatbots, copilots, and LLM-powered applications.Build Agentic AI solutions with reasoning, tool/function calling, multi-step task execution, and workflow automation.Implement RAG, embeddings, vector search, prompt engineering, and conversational memory.Work with commercial and open-source LLMs and select appropriate models based on business and technical requirements.Integrate AI solutions with REST APIs, databases, CRM/ERP systems, and enterprise applications.Develop AI integration services and APIs for existing systems and business workflows.Evaluate and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.Collaborate with software engineers, architects, product teams, and business stakeholders.Keep up to date with developments in Generative AI, LLMs, Agentic AI, and AI automation.RequirementsBachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.3+ years of experience in AI/ML engineering, software engineering, or a related role.Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.Strong Python programming and software engineering skills.Experience with REST APIs, system integration, databases, and cloud/on-premise environments.Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.Familiarity with Docker, Git, CI/CD, and production deployment.Preferred SkillsExperience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.Experience with AWS, Azure, or Google Cloud.Knowledge of AI security, data privacy, access control, and responsible AI.
Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
Bachelor’s degree or above, with 5-8 years in software development and relevant experience in leading AI/ML development project
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