AI Development Engineer (Contract – 6 Months, Extendable)

Our client is seeking an AI Development Engineer for a 6-month contract position, with the possibility of extension based on performance and business needs. In this role, you will be responsible for solving complex engineering problems by leveraging AI to enhance speed, quality, and cost efficiency. You will transition traditional software engineering practices into an AI-augmented framework, focusing on system orchestration, structured thinking, validation, and agentic application development.

Key Responsibilities:

• Translate ambiguous product or business requirements into clear technical specifications, system designs, and validation plans.
• Build, maintain, and scale AI-powered production systems and agentic applications.
• Design workflows where LLMs, VLMs, tools, APIs, retrieval systems, and traditional microservices work together reliably.
• Utilize AI-assisted development tools while ensuring code quality, security, performance, and long-term maintainability.
• Prevent AI-generated code bloat, dead code, and unnecessary complexity.
• Develop observability, evaluation, testing, and monitoring systems for AI-generated outputs.
• Optimize prompts, model selection, workflows, and inference cost.
• Apply Responsible AI principles, including safety, privacy, fairness, transparency, and accountability.
• Collaborate with cross-functional teams across product, engineering, security, data, and design.
• Mentor engineers to transition from implementation-heavy development to system orchestration and AI-first engineering practices.

Requirements:

• Strong software engineering fundamentals and hands-on experience building production-grade systems.
• Experience in one or more modalities such as vision/images, video, text, audio, or speech.
• In-depth knowledge and practical experience with LLMs, VLMs, multimodal AI systems, and foundation model architectures.
• Ability to actively find, read, understand, and implement concepts from AI research papers.
• Experience in building or integrating agentic applications, AI copilots, RAG systems, workflow automation, or multimodal GenAI systems.
• Strong understanding of system design, APIs, data flows, testing, observability, security, and production reliability.
• Practical experience with prompt engineering, context engineering, model evaluation, benchmarking, and AI workflow orchestration.
• Ability to convert ambiguous requirements into structured specifications, implementation plans, and validation frameworks.
• Strong debugging, problem-solving, communication, ownership, and learning agility.

What we offer:

• A dynamic work environment with opportunities for professional growth.
• The chance to work on cutting-edge AI technologies and applications.
• Flexibility of remote work arrangements.