AI Innovation Engineer

Red Nucleus is hiring an AI Innovation Engineer to join our global team This is a full-time, remote position open to candidates based in India or Casablanca, Morocco.

About Red Nucleus

Our purpose is advancing knowledge to improve lives. We succeed by being the premier provider of strategic learning and development, scientific advisory services, and medical communications solutions for the life sciences industry. Our global team is composed of nearly 1000 full-time employees whose commitment to creativity, quality, and on-time delivery is unrivaled in our space.

At Red Nucleus, we believe in providing a rich working environment that pushes us to innovate in ways that engages our employees to be their best selves.  Our culture is about meaningful work, a true sense of community and fun.  We love to celebrate our people and we are proud to have been Internationally recognized as a "Great Place to Work".    

How You Will Contribute

As an AI Innovation Engineer in our Products Team, you will be a key part of researching, building, and advancing AI/ML capabilities that power future-facing products. You'll work on proof of concept (POC) implementations, model development, large language model integrations, agentic AI workflows, and developing scalable AI infrastructure. You'll collaborate closely with product leadership, cross-functional data engineers / scientists, and other
stakeholders to bring innovative AI solutions from research into production and into product offerings.

Key Responsibilities:

• Conduct advanced research into new AI/ML/DL/transformer-based models, frameworks, and techniques, staying abreast of academic and industry advances.
• Prepare proof-of-concepts (POCs) to validate new AI features or solution ideas.
• Design, implement, fine-tune, and deploy AI models; integrate external open source frameworks (e.g. Hugging Face, LangChain) for model/agentic workflows.
• Develop agentic AI systems: build modular, stateful, multi-agent workflows using frameworks such as LangChain, LangGraph, LlamaIndex, etc.
• Architect scalable, robust, and modular systems for AI agents, ensuring performance, maintainability, and observability in distributed environments.
• Develop evaluation metrics, logging/tracing/monitoring strategies for agents to ensure reliable performance, error detection, continuous improvement.
• Build and maintain data pipelines in conjunction with data engineering team: data collection, preprocessing, feature engineering, cleaning / normalization / augmentation.
• Analyze proprietary / internal datasets and domain-specific datasets (healthcare, finance, etc.) for model training and insight generation.
• Collaborate with product, engineering, and business stakeholders to translate research outputs into production-ready components or product features.
• Document methodologies, assumptions, limitations, and ensure reproducibility, governance, and ethical use of AI solutions.

Education, Experience, Training, and Knowledge

Education

• Bachelor's or Master's degree in a technical or quantitative field (e.g. Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Engineering).

Experience (2-5 years)

• 2-5 years of hands-on experience in AI/ML/DL model development, fine-tuning, and deployment.
• Proven experience using Python extensively for AI development; familiarity with key AI/ML/DL libraries and frameworks.
• Experience with LLMs, prompt engineering (few-shot, chain-of-thought, etc.), open source model integrations.
• Experience in building agentic AI or multi-agent workflows, and with agent frameworks like LangChain / LlamaIndex etc.
• Background in data pipelines: preprocessing, feature engineering, ingestion of both structured and unstructured data.

Skills & Abilities

• Strong foundation in mathematics, statistics, and theoretical computer science.
• Curiosity and passion for innovation: actively follows research papers, conferences, latest trends in AI/ML.
• Ability to search, analyze, and integrate existing AI models/frameworks to build new solutions.
• Good system design skills: capable of designing scalable, modular, maintainable AI systems capable of production deployment.
• Experience implementing observability, logging/monitoring/tracing for models / agents.
• Good communicator: able to explain technical methods, trade-offs, and outcomes to both technical and non-technical stakeholders.
• Strong attention to detail; ability to handle multiple research / engineering tasks.

Preferred Qualifications / Additional Assets

• Prior open source contributions in AI/ML.
• Experience working in regulated domains (e.g. healthcare, life sciences, finance) where data privacy, compliance, ethics are important.
• Familiarity with cloud platforms (AWS, Azure, GCP) or data platforms (Databricks, Snowflake).
• Experience deploying models in production (containers, microservices, serverless etc.).
• Knowledge of agent observability and safety frameworks.

What You Will Enjoy at Red Nucleus

• Competitive pay, incentives, income security programs.
• Comprehensive benefits and wellness programs focused on healthy lifestyles.
• Flexible work arrangements and remote working.
• Performance-driven environment including professional development and growth opportunities.
• People-first culture fostering self-expression, diversity, and a growth mindset.
• Celebrations – we love to celebrate team milestones, innovation wins, diversity and inclusion, and other moments that bring us together.

Diversity, equity and inclusion are valued at Red Nucleus and we believe we have a shared responsibility to provide equal opportunity and foster an inclusive spirit. We do not discriminate on the basis of race, color, national origin, religion, caste, sexual orientation, gender, age, marital status, or disability status.

To learn more about working at Red Nucleus, please visit Careers I Red Nucleus.

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