We are seeking a highly skilled to design, develop, and deploy machine-learning models and AI-driven solutions. The role involves working with clients, software engineers, and product teams to transform data into actionable insights and intelligent applications.
Key Responsibilities
- Design and build agentic AI systems, including:
- Tool use
- Multi-agent orchestration
- ReAct / chain-of-thought pipelines
- Develop and deploy LLM-powered features, including:
- RAG pipelines
- Autonomous workflow automation
- Own prompt engineering and context engineering, including context windows, token budgets, and structured outputs.
- Build backend services using Python and FastAPI.
- Design and manage relational databases using SQLAlchemy and Alembic.
- Host and serve custom models on AWS SageMaker, including endpoint management, scaling, and inference pipelines.
- Work with Hugging Face and open-source models for model selection, inference, and lightweight customization.
- Establish and maintain ML/AI-Ops workflows, including CI/CD, automated testing, model deployment, and continuous delivery.
- Stay current with developments in ML, AI, deep learning, and agentic frameworks.
Must-Have Skills
- 4+ years Python experience, preferably Python 3.10+
- Production-grade Python development