We are seeking an AI Engineer with a strong software engineering background to join our consulting team. This role focuses on designing, architecting, and implementing cutting-edge AI-driven solutions for a variety of clients. You will work closely with clients to understand their business needs, architect scalable production-ready solutions, and leverage the latest advancements in Generative AI, Agentic AI, and related technologies.

QUALIFICATIONS

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• Strong background in software engineering with experience in JavaScript (Node.js/React), Python, or C#/.NET.

• Hands-on experience with Generative AI and LLMs (e.g., OpenAI, Anthropic, Google Gemini, Meta LLaMA).
• Familiarity with agentic AI frameworks and multi-agent orchestration patterns.
• Experience in building cloud-native solutions (Azure, AWS, or GCP) and integrating AI services.
• Knowledge of data pipelines, APIs, vector databases, and orchestration tools.
• Strong understanding of system design, security, and scalability principles.
• Excellent client-facing and communication skills with the ability to explain complex technical concepts to business leaders.
• Familiarity with AI observability & evaluation tools (e.g., Langfuse, Weights & Biases, Arize).
• Experience with MCP servers, A2A (Agent-to-Agent) orchestration, or advanced LLMOps practices.
• Contributions to open-source AI frameworks or projects.
• Consulting experience is highly preferred.

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES

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• 8+ years of strong programming skills in a language such as JavaScript/TypeScript, Python, or C#.

• Ability to build and architect end to end full stack applications such as React, Angular, or Full Microsoft Stack.
• Extensive experience in software architecture and development, with a proven track record of designing and implementing large-scale, complex systems.
• Deep understanding of architectural patterns, design principles, and best practices for building scalable, resilient, and secure applications.
• Expertise in cloud architectures, preferably Azure, including experience with services such as App Services, Azure Storage, Azure Functions, Postgres/pgvector, Azure AI Search, Azure AI Foundry, Azure OpenAI Services, and Azure ML Studio. AWS and Google Cloud knowledge would be valuable.
• Excellent communication, interpersonal, and leadership skills, with the ability to influence and build consensus among stakeholders.

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• Architect and implement AI-powered solutions using state-of-the-art generative AI, agentic AI, and multimodal AI technologies.

• Consult with enterprise clients to understand business challenges, define project requirements, and design AI-driven solutions that align with strategic goals.
• Design and implement scalable production architectures, including APIs, pipelines, and integrations with client systems.
• Develop and maintain software using programming languages such as JavaScript (Node/React), Python, and/or C# (.NET).
• Leverage and fine-tune large language models (LLMs) and other generative AI models (e.g., text, image, audio, or code generation).
• Integrate frameworks and libraries such as LangChain, Semantic Kernel, and vector databases (e.g., Azure AI Search, PGVector).
• Design and implement agent-based workflows, including orchestration of multi-agent systems using tools like LangGraph, AutoGen, or CrewAI.
• Collaborate with cross-functional teams (data engineers, cloud architects, UX designers) to deliver end-to-end AI solutions.
• Ensure security, compliance, and responsible AI practices are embedded in every solution delivered.
• Stay up-to-date with emerging technologies and recommend best-fit tools, frameworks, and methodologies for client projects.
• Train, mentor, and guide client teams on implemented solutions and best practices.
• Document solution architectures and provide clear communication to both technical and non-technical stakeholders