Senior AI Engineer

We are seeking an experienced Senior AI Engineer with deep expertise in designing and building advanced AI/ML systems, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. This role is ideal for a highly skilled technologist with 10+ years of software development experience (including 3+ years in AI/ML) who thrives at the intersection of systems engineering, cloud infrastructure, and cutting-edge AI and machine learning applications.

As a Senior AI Engineer, you will architect, implement, and optimize AI-driven solutions for enterprise-scale environments. You will collaborate closely with cross-functional engineering, product, and research teams to integrate intelligent features into products and services. You will also play a key role in operationalizing AI systems, ensuring reliability, security, and performance at scale.

The Senior AI Engineer is a systems-oriented innovator who is passionate about building reliable AI platforms, pushing the boundaries of applied AI, and driving measurable business value through innovation.

Key Requirements & Responsibilities 

• Design and Develop AI Systems: Design, build, and optimize advanced AI solutions including LLMs, RAG pipelines, and agent-based architectures.

• Operationalize AI Agents: Deploy, orchestrate, and manage multi-agent systems for enterprise-scale use cases, leveraging standards and frameworks like MCP, LangChain Agents, CrewAI, AutoGen, or A2A/ADK.

• Agent Lifecycle Management: Establish practices for agent state management, role coordination, monitoring, retraining, and rollback to ensure reliability and accountability.

• Autonomy Guardrails: Implement policies, controls, and observability to bound agent behavior, prevent runaway actions, and align with Responsible AI standards.

• Integration Architecture: Connect agents with APIs, microservices, and message-driven systems to orchestrate seamless collaboration across agents, humans, and enterprise services.

• Responsible AI & Security: Apply governance, fairness, security, and compliance controls to ensure safe, ethical, and regulatory-aligned agent operations.

• Collaborate Cross-Functionally: Partner with product managers, designers, and engineers to co-create AI features that deliver business value and improve user experience.

• Drive Continuous Innovation: Stay ahead of emerging trends in AI engineering, evaluate and adopt emerging tools/frameworks to strengthen the AI platform strategy.

• Be familiar with corporate security policies and follow the guidance set out by processes and procedures of Assent.