AI/ML Engineer

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled AI/ML Engineer to join our innovative and dynamic team.

AI/ML Engineer | About You

As an AI/ML Engineer, you will design, build, and deploy production-ready AI capabilities that automate complex enterprise workflows and turn business data into reliable, explainable, and actionable insights. You will develop solutions across Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector search, information extraction, recommendation and matching, and AI evaluation, while integrating these capabilities with enterprise systems. The ideal candidate combines strong Python and AI engineering expertise with hands-on experience building governed AI applications that include guardrails, human-in-the-loop validation, monitoring, and continuous improvement.

AI/ML Engineer | Day-to-Day

• Design, develop, and deploy AI/ML and LLM-powered workflows supporting classification, information extraction, product/part matching, recommendations, content generation, and decision-support use cases.
• Build and optimize RAG and enterprise knowledge-retrieval solutions, including document ingestion, chunking, embeddings, vector search, reranking, evidence retrieval, and cited response generation.
• Develop intelligent automation capabilities for RFQ processing, quote generation, negotiation preparation, scenario generation, and AI-powered customer simulations or roleplay experiences.
• Integrate AI models and services with enterprise applications through REST APIs, CRM platforms, data systems, and workflow applications, ensuring secure and reliable production operation.
• Develop rigorous AI evaluation and monitoring frameworks to measure retrieval quality, output accuracy, groundedness, relevance, latency, and overall solution performance.
• Implement AI guardrails, human approval workflows, validation controls, and governed access patterns to ensure AI-generated outputs are reliable, explainable, and appropriate for enterprise use.
• Partner with business, data, product, and engineering teams to continuously improve AI capabilities based on user feedback, operational metrics, model performance, and evolving business requirements.

AI/ML Engineer | Skills & Experience

• Strong hands-on experience building and deploying production AI/ML applications, with proficiency in Python and modern software engineering practices.
• Hands-on experience with LLM APIs and Retrieval-Augmented Generation (RAG), including prompt orchestration, embeddings, semantic retrieval, vector search, reranking, and response generation.
• Experience with vector databases/search technologies such as Pinecone, Weaviate, Qdrant, FAISS, pgvector, Azure AI Search, or similar platforms.
• Strong experience with AI/ML evaluation and production readiness, including model/output evaluation, groundedness testing, guardrails, monitoring, human-in-the-loop workflows, and continuous optimization.
• Experience developing APIs and enterprise integrations that connect AI services with CRM, data platforms, workflow systems, and other business applications.
• Experience with technical-document extraction, product or spare-part matching, CPQ/quotation workflows, CRM-based AI agents, cited answer generation, negotiation simulations, or governed enterprise AI solutions is highly desirable.