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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.
Job Responsibility
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
combines full-stack software engineering with applied AI to develop systems that can reason, plan, and execute tasks autonomously
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
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
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
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
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
Experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with CI/CD pipelines and modern DevOps practices
Experience with containerization (Docker) and orchestration (Kubernetes) preferred
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)
What we offer
medical, vision, dental, and life and disability insurance