Senior Technical Lead
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Web Development
In short
The Senior Technical Lead will design, build, and deliver end-to-end AI-powered applications by combining modern frontend frameworks with backend services and Generative AI capabilities. This role focuses on integrating Large Language Models (LLMs) into user experiences like copilots and AI assistants, ensuring scalability, performance, and usability.
Responsibilities
- Build end-to-end AI-powered applications using modern frontend and backend technologies.
- Integrate Large Language Models (LLMs) into user-facing workflows and experiences.
- Develop AI-enabled features such as chat interfaces, copilots, summarization, and intelligent search.
- Design and implement responsive UIs using React, Angular, or similar frameworks.
- Build backend services and APIs to orchestrate LLM calls, RAG pipelines, and AI workflows.
- Implement prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG).
- Ensure application performance, scalability, security, and reliability.
- Collaborate with UX designers, AI engineers, and product teams.
- Provide technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
- Conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization, implementation of best practices and coding standards.
- Ensure process compliance and participate in technical discussions/reviews as a technical consultant for feasibility study.
- Collaborate with stakeholders to define project scope, objectives, deliverables and prepare status reports.
Requirements
- Strong experience with frontend frameworks such as React or Angular.
- Backend development experience using Python, Node.js, or Java.
- Hands-on experience integrating LLMs (OpenAI, Azure OpenAI, Gemini, Claude, or open-source models).
- Experience with prompt engineering, embeddings, and RAG pipelines.
- Familiarity with REST/GraphQL APIs, Docker, cloud platforms, and CI/CD pipelines.
- 6–8 years of fullstack or application engineering experience.
- 1–3+ years of hands-on experience delivering AI or GenAI-enabled applications.
Desired Qualifications
- Basic exposure to MLOps or LLMOps concepts is a plus.
Benefits
- Supercharge your potential.
- Find your career.
- Find your spark.
- A place that knows that helping its customers stay on top starts by putting its people first.
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