[Remote] Senior Python & Agentic AI Engineer
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 AI‑powered and agentic workflows using Python within modern cloud‑native 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 AI‑driven and autonomous system capabilities
- Evaluate and integrate LLMs, agent frameworks, vector search, embeddings, retrieval pipelines, and tool‑use orchestration into production systems
- Lead by example through high‑quality code, strong engineering practices, and thoughtful technical decision‑making
- Drive experimentation, prototyping, and rapid iteration to validate AI‑powered 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 production‑grade systems
- Demonstrated experience shipping AI/ML or LLM‑powered features in production, not just experimentation
- Hands‑on experience with agentic AI frameworks, LLM APIs, vector databases, retrieval pipelines, or ML workflows
- Ability to influence architecture, product direction, and long‑term technical strategy
- Strong problem‑solving skills and comfort operating in high‑autonomy environments
- Excellent communication skills and the ability to collaborate with cross‑functional teams
- Experience working in fast‑paced, client‑facing, or consulting‑style 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, event‑driven architectures, or cloud‑native design
- Prior work on financial, payments, or risk‑related systems
Company Overview