AI Development Engineer (Contract – 6 Months, Extendable)

Description

An **AI Development Engineer** is responsible for solving complex engineering problems by using AI to improve speed, quality, and cost efficiency. This role reimagines traditional software engineering for an AI\-augmented world — moving from coding\-heavy execution to system orchestration, structured thinking, validation, and agentic application development.

The ideal candidate is a strong hands\-on engineer who can work with AI tools, foundation models, multimodal systems, and research\-driven implementation to build reliable, scalable, production\-ready AI applications.

• *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.
• Use AI\-assisted development tools while maintaining code quality, security, performance, and long\-term maintainability.
• Prevent AI\-generated code bloat, dead code, and unnecessary complexity.
• Build 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.
• Work with cross\-functional teams across product, engineering, security, data, and design.
• Mentor engineers to move from implementation\-heavy development to system orchestration and AI\-first engineering practices.

Requirements

Candidates who demonstrate

• 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, speech.

• Deeper knowledge and hands\-on experience with LLMs, VLMs, multimodal AI systems, and foundation model architectures.
• Ability to actively find, read, understand, and implement ideas from AI research papers.
• Experience 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 specs, implementation plans, and validation frameworks.
• Strong debugging, problem\-solving, communication, ownership, and learning agility.

NOTE: This is a 6\-month contractual role, with the possibility of extension based on performance and business requirements.

Pay: ₹5,000,000\.00 \- ₹5,500,000\.00 per year

Work Location: Remote