AI Engineer

We’re seeking an ML/AI Engineer to help us deliver a high-quality and performance. This role will be central to designing, implementing, and deploying LLM-based reasoning, retrieval-augmented generation, graph representations, and multi-agent orchestration. You’ll work closely with founders, engineers, and domain experts.

Key Responsibilities:

• Design and scale retrieval pipelines and agent-based architectures that go beyond standard RAG, including graph knowledge integration and multi-hop reasoning

• Develop and maintain core infrastructure for prompt orchestration, embedding workflows, and vector search, optimized for performance and fine-grained control

• Implement robust evaluation harnesses to monitor model accuracy, responsiveness, and consistency across real-world user tasks

• Fine-tune and adapt LLMs to domain-specific tasks with complex knowledge synthesis

• Collaborate with backend engineers to integrate GenAI components into production environments with secure interfaces

Requirements:

• 3+ years experience shipping ML systems to production in startup or enterprise settings

• Strong command of GenAI architectures, including LLMs, RAG pipelines, graph and vector databases, and multi-agent systems

• Proficient in Python, with experience using PyTorch or TensorFlow in production

• Familiarity with frameworks like LangChain, Hugging Face Transformer and MLflow

• Experience deploying ML workloads on cloud infrastructure (AWS or Azure)

• Ability to balance model performance, latency and observability

• Comfort working in fast-moving, ambiguity-rich settings where iteration is key