AI Engineer

Job Description

Objectives of the role:

Design, develop, and deploy production-ready AI solutions that integrate seamlessly into enterprise applications and business workflows.
Build scalable AI platforms and reusable components to accelerate AI adoption across multiple business functions.
Develop intelligent AI copilots, conversational assistants, and autonomous agent systems that improve operational efficiency and customer experience.
Establish best practices for AI engineering, MLOps, governance, monitoring, and responsible AI implementation.

Key Responsibilities:

Design and implement AI-powered applications, APIs, and services using modern software engineering practices.
Develop and deploy generative AI, and agentic AI solutions for business and customer-facing use cases.
Design and build autonomous and semi-autonomous AI agent systems capable of planning, reasoning, tool usage, and workflow automation.
Implement multi-agent architectures for complex business processes requiring collaboration between specialized AI agents.
Integrate AI systems with enterprise tools, APIs, databases, and business applications.
Develop evaluation and guardrail mechanisms to ensure reliability, safety, accuracy, and compliance.
Optimize model latency, token consumption, infrastructure utilization, and operational costs.
Ensure AI solutions comply with enterprise governance, security, privacy, and regulatory requirements.

Required Skills & Qualifications:

3 years + of experience in AI engineering or 5+ years of experience in software engineering, machine learning engineering or related disciplines
Strong programming experience in Python and familiarity with software engineering best practices.
Hands-on experience building and deploying LLM-based applications and generative AI solutions.
Experience with AI orchestration and agent frameworks such as LangGraph.
Experience designing and deploying RAG architecture, vector databases, multi-agent systems
Experience with developing on Microsoft Azure