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

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