Sr. ai engineer

Build the AI-Driven Future
AI isn’t a trend here—it’s the foundation of our future.
As a Senior AI Engineer, you’ll take a leading role in embedding artificial intelligence into every layer of the product and delivery lifecycle. You’ll shape client platforms through our AI Accelerator and lead the design and development of real-time, intelligent systems powered by large language models, natural language processing, and machine learning.
You’ll also help drive client-facing innovation by facilitating workshops that explore cutting-edge AI applications and scalable, enterprise-ready solutions. If you’re passionate about building the future of AI, this is your platform to lead and create a lasting impact.
What You’ll Do
As a Senior AI Engineer at In Rhythm, you will:
- Architect and implement advanced AI and machine learning systems that solve complex business problems
- Lead the design and deployment of LLM-based applications using frameworks like Lang Chain, Llama Index, and vector databases
- Develop end-to-end ML pipelines from data acquisition and model training to deployment and monitoring
- Design and build AI copilots, agents, and generative workflows that integrate seamlessly into modern software ecosystems
- Apply deep expertise in NLP, computer vision, or predictive modeling to build intelligent, real-time systems
- Evaluate and fine-tune foundation models for custom enterprise use cases
- Collaborate with cross-functional product, design, and engineering teams to define intelligent experiences
- Explore and implement retrieval-augmented generation (RAG), semantic search, and multi-modal reasoning techniques
- Contribute to internal AI frameworks, toolkits, and accelerators to speed up solution delivery
- Mentor engineers on AI architecture, model lifecycle best practices, and ethical/secure use of machine learning
Requirements
You’ll bring:
- 8+ years of software engineering experience with a strong focus on AI/ML and intelligent systems
- 3+ years in a technical leadership role, building and deploying machine learning systems in production
- Deep expertise in Python and modern AI/ML libraries (e.g., Py Torch, Tensor Flow, Hugging Face Transformers)
- Experience with large language models (Open AI, Anthropic, Cohere, open source LLMs) and prompt engineering
- Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and scalable ML infrastructure
- Knowledge of AI system design, data engineering for ML, model evaluation, and MLOps practices
- Experience integrating AI capabilities into full-stack applications and cloud-native environments, specifically within AWS.
- Strong communication skills and a consulting mindset—able to confidently lead client-facing discussions on AI strategy
- Passion for experimentation, innovation, and shaping the future of applied AI
Why You’ll Thrive at In Rhythm
- We’re a community of builders who believe in doing our best work—and helping others do the same.
- For example, we recently launched our internal AI Accelerator, enabling teams to rapidly prototype, deploy, and iterate on generative AI and machine learning solutions for enterprise clients. This initiative empowers engineers to create scalable, AI-native systems that drive business value and innovation.
- At In Rhythm, you’ll:
- Work on high-visibility, high-impact AI initiatives that shape the digital landscape
- Join empowered, autonomous teams committed to pushing the boundaries of AI
- Collaborate with bold thinkers in a community that champions learning, experimentation, and growth
- Lead initiatives, contribute to open-source tools, and mentor peers on AI system design
- Share your work and drive innovation through tech talks, workshops, and peer engagement
- We don’t just build—we build what’s next. Together.