AI/ML Engineer – Prompt Engineering | cAIdence Innovations | Remote

Position SummaryDriving advanced artificial intelligence, machine learning model development, and prompt engineering innovation across remote operations, cAIdence Innovations is actively seeking experienced AI/ML Engineers for a premier remote contract professional engagement. In this vital technical leadership role, you will take full operational, tactical, and technical ownership of prompt engineering optimization, large language model alignment, fine‑tuning workflows, and production‑ready AI deployment. Bringing 3+ years of progressive professional hands‑on experience in artificial intelligence and machine learning, you will empower an elite AI‑driven technology enterprise to achieve uncompromised model accuracy, secure inference, and superior automated intelligence workflows. This prestigious career opportunity offers competitive remuneration, high‑visibility enterprise exposure, and professional growth within a leading global artificial intelligence and software engineering enterprise. Detailed Job DescriptionAs an AI/ML Engineer supporting cAIdence Innovations on a remote professional contract basis (open exclusively to immediate joiners), you will take full operational, tactical, and technical ownership of prompt architecture design, model optimization, dataset curation, and cross‑functional engineering collaboration. Your day‑to‑day responsibilities include designing, developing, testing, and refining advanced prompt engineering frameworks for large language models, collaborating proactively with founders and product managers during agile sprint cycles, analyzing model output quality, latency, and token efficiency, implementing robust evaluation metrics and guardrails, and interacting directly with co‑founders and CPOs like Monika D. Key ResponsibilitiesArchitect, design, develop, test, and optimize advanced prompt engineering workflows for state‑of‑the‑art large language models.Build robust data preprocessing pipelines, evaluation datasets, and test harnesses for systematic prompt validation.Research, implement, and refine prompt templates, few‑shot learning strategies, chain‑of‑thought reasoning, and retrieval‑augmented prompt structures.Conduct rigorous model output evaluation, hallucination mitigation, latency reduction, and token optimization profiling.Collaborate proactively with cross‑functional artificial intelligence research teams, data scientists, and software architects.Ensure strict adherence to AI ethics, data privacy regulations, model security standards, and code quality benchmarks.Scale machine learning inference and prompt evaluation infrastructure to handle high‑frequency transaction volumes.Maintain meticulous technical documentation, prompt libraries, experiment tracking logs, and release runbooks.Required Qualifications & SkillsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related technical discipline.Minimum of 3+ years of progressive professional hands‑on experience in artificial intelligence and machine learning engineering.Strong, demonstrable operational expertise in prompt engineering, large language model tuning, and generative AI systems.Comprehensive working knowledge and practical proficiency in machine learning frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex).Deep practical experience with data structures, algorithmic optimization, and scalable backend system architecture.Excellent English communication skills (mandatory for international team coordination and client reporting).Mandatory legal work authorization and physical availability for remote professional operations (immediate joiners only).Nice‑to‑Have SkillsProfessional cloud certifications such as AWS Certified Machine Learning Specialty or Microsoft Certified: Azure AI Engineer Associate.Prior professional working experience supporting fast‑growing artificial intelligence startups or enterprise software product companies.Hands‑on familiarity with vector databases (Pinecone, Chroma, Milvus) and MLOps platforms (MLflow, Weights & Biases).Experience utilizing enterprise agile tracking and collaboration platforms (Jira, Confluence, GitHub Enterprise).Active participation in AI research open‑source communities, developer meetups, or machine learning hackathons.Application InformationSalary/Rate: Market Competitive / Enterprise AI Consulting PackageWork Schedule: Remote Professional OperationsDeadline: Open until filled (Urgent Remote Contract AI/ML Openings – 15 Positions)Notice Period: Immediate Joiners Only (Mandatory Requirement)Contract Duration: Contract Role (Remote AI/ML Engagement)Company Website: https://www.caidence.in