Job Description
Note: The job is a remote job and is open to candidates in USA. ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with clients. They are seeking a Senior Python & Agentic AI Engineer who will design, build, and deploy AI-powered workflows using Python, while owning the technical direction for AI/ML components and collaborating with various stakeholders.
Responsibilities
- Design, build, and deploy AIâpowered and agentic workflows using Python within modern cloudânative environments
- Own technical direction for AI/ML components, including architecture, orchestration, model integration, and performance optimization
- Partner with product, engineering, and client stakeholders to shape the roadmap for AIâdriven and autonomous system capabilities
- Evaluate and integrate LLMs, agent frameworks, vector search, embeddings, retrieval pipelines, and toolâuse orchestration into production systems
- Lead by example through highâquality code, strong engineering practices, and thoughtful technical decisionâmaking
- Drive experimentation, prototyping, and rapid iteration to validate AIâpowered product ideas
- Ensure AI systems are reliable, observable, secure, and maintainable in production environments
- Mentor engineers and contribute to a culture of technical excellence and innovation
Skills
- Strong Python engineering background with experience building productionâgrade systems
- Demonstrated experience shipping AI/ML or LLMâpowered features in production, not just experimentation
- Handsâon experience with agentic AI frameworks, LLM APIs, vector databases, retrieval pipelines, or ML workflows
- Ability to influence architecture, product direction, and longâterm technical strategy
- Strong problemâsolving skills and comfort operating in highâautonomy environments
- Excellent communication skills and the ability to collaborate with crossâfunctional teams
- Experience working in fastâpaced, clientâfacing, or consultingâstyle environments is a plus
- Experience with Azure AI, OpenAI, Anthropic, or other enterprise AI platforms
- Background in ML Ops, model evaluation, or production monitoring of AI systems
- Experience with distributed systems, eventâdriven architectures, or cloudânative design
- Prior work on financial, payments, or riskârelated systems
Company Overview