Artificial Intelligence Engineer

Staff / Senior AI Engineer

About the Role

We are looking for an experienced Staff / Senior AI Engineer to drive the technical vision and hands-on execution of next-generation AI capabilities within a fast-scaling, product-led platform. In this role, you will bridge the gap between cutting-edge LLM research and robust, production-grade engineering—building intelligent systems, agentic workflows, and scalable AI infrastructure used by millions.

Key Responsibilities

• AI Architecture & Systems: Design, build, and deploy production-grade LLM pipelines, RAG architectures, and agentic workflows embedded directly into the core product ecosystem.
• Technical Leadership: Lead complex AI engineering projects from concept to deployment, setting best practices for prompt engineering, context management, fine-tuning, and model evaluations.
• Performance & Scale: Optimize model inference latency, reduce API costs, and build high-throughput microservices capable of supporting enterprise-level AI usage.
• Observability & Reliability: Implement robust testing, observability, and evaluation frameworks (e.g., monitoring hallucinations, drift, and accuracy) to maintain enterprise-grade reliability.
• Cross-Functional Collaboration: Partner closely with product managers, UX designers, and platform engineers to turn complex user problems into seamless, AI-driven solutions.

Tech Stack & Skills Preferred

• Languages: Python, TypeScript / Node.js, Go, or Java
• AI Frameworks: LangChain, LlamaIndex, AutoGen, Semantic Kernel, vLLM
• Models & APIs: OpenAI, Anthropic, Hugging Face, Open-Source LLMs (Llama, Mistral)
• Data & Vector Stores: Pinecone, Qdrant, Weaviate, Pgvector, Redis
• Infrastructure: Docker, Kubernetes, AWS / GCP, Terraform, CI/CD pipelines

Requirements

• Proven track record as a Senior or Staff Engineer delivering AI/ML models into live production environments at scale.
• Deep understanding of modern GenAI architectures (Transformers, RAG, AI Agents, Fine-tuning vs. Context-Retrieval).
• Strong foundational software engineering skills (clean code, system design, microservices, distributed systems).
• Passion for mentoring junior/mid-level engineers and shaping the technical strategy of an engineering organisation.