Full Stack AI Engineer

Description

We are looking for a Full Stack AI Engineer for a long-term consultant position. This role is responsible for designing, building, and delivering end-to-end intelligent applications and agentic AI systems that enable automation, decision-making, and enhanced user experiences across our client's enterprise landscape.

This role combines full-stack software engineering with applied AI to develop systems that can reason, plan, and execute tasks autonomously. The engineer partners with product, architecture, and business teams to translate complex requirements into scalable, production-ready solutions that integrate seamlessly with enterprise platforms, data, and processes.

The position emphasizes hands-on development, system integration, and continuous delivery of business value, ensuring AI-enabled capabilities are reliable, secure, and aligned with enterprise standards while advancing innovation and operational efficiency.

Requirements

5-10 years of experience in full-stack software development

Hands-on experience building and deploying production-grade applications across front-end and backend systems

Experience developing and integrating APIs, microservices, and distributed systems

Experience working with AI/ML systems, including LLM-based applications or AI-enabled workflows

Experience working in agile development environments with cross-functional teams

Experience integrating solutions within enterprise systems and platforms

Full Stack Development

Proficiency in front-end technologies (e.g., React, TypeScript, modern UI frameworks)

Backend development experience (e.g., Python, Java, Node.js)

Experience with API design, microservices architecture, and event-driven systems

AI & Agentic Systems

Experience working with large language models (LLMs), prompt engineering, and RAG architectures

Familiarity with agentic AI frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex or similar)

Understanding of agent-based systems including planning, reasoning, tool usage, and orchestration

Experience integrating AI capabilities into production applications

Data & Integration

Experience working with relational and NoSQL databases

Knowledge of data pipelines, data transformation, and system integration patterns

Ability to work with structured and unstructured data sources

Cloud & DevOps

Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)

Familiarity with CI/CD pipelines and modern DevOps practices

Experience with containerization (Docker) and orchestration (Kubernetes) preferred

Analytical & Collaboration Skills

Strong problem-solving and analytical thinking skills

Ability to translate complex business needs into technical solutions

Effective communication skills across technical and non-technical stakeholders

Ability to work in fast-paced, evolving environments with multiple priorities

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical field (or equivalent work experience)

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