AI Engineer

Responsibilities

• Develop AI-Powered Applications
• Design and implement AI-driven features such as chatbots, automation tools, recommendation systems, and content generation solutions
• Integrate AI models (e.g., large language models, vision models) into internal and customer-facing applications
• Ensure solutions are scalable, reliable, and performant
• Design AI Systems & Workflows
• Build end-to-end AI pipelines, including prompt engineering and orchestration workflows
• Develop retrieval-augmented generation (RAG) systems and knowledge-based applications
• Implement memory systems and agent-based architectures that interact with external tools and APIs
• Data Engineering & Management
• Collect, clean, and structure data for AI applications
• Develop and manage embeddings and vector databases
• Prepare datasets for model training, fine-tuning, and evaluation
• Optimize Performance & Cost
• Improve model accuracy through prompt tuning, evaluation frameworks, and iterative testing
• Optimize latency and response times for production systems
• Manage and reduce operational costs (e.g., token usage, model selection)
• Production Deployment & Maintenance
• Deploy AI systems into production environments
• Monitor performance, troubleshoot issues, and handle edge cases
• Ensure system security, data privacy, and compliance standards are met

Requirements

• 2-5 years of relevant experience in software engineering, machine learning, or AI engineering, with hands-on experience building and deploying AI applications in production.
• Proficiency in Python and/or Node.js, with experience building scalable backend systems
• Hands-on experience with AI/ML models (e.g., OpenAI, Anthropic, or open-source LLMs) and integrating them into applications
• Familiarity with AI frameworks/tools (e.g., LangChain, LlamaIndex), vector databases, and API integrations
• Experience with cloud platforms (e.g., AWS, GCP) and deploying production systems
• Strong understanding of AI system design, including prompt engineering, RAG pipelines, and agent workflows
• Ability to work with data, including preprocessing, embeddings, and dataset preparation
• Strong problem-solving skills with the ability to debug and optimize AI systems for performance, accuracy, and cost
• Product-oriented mindset with a focus on building practical, high-impact solutions

Additional Information

We are seeking an AI Engineer to design, build, and deploy AI-powered solutions that drive real business impact. This role sits at the intersection of software engineering, data, and machine learning, with a strong focus on turning AI capabilities into scalable, production-ready applications. The ideal candidate is both technically strong and product-oriented, capable of translating business needs into practical AI systems that are reliable, efficient, and cost-effective.

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