Senior Python & Agentic AI Engineer

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.

We’re looking for a Senior Software Engineer, AI/ML who brings a strong Python engineering foundation paired with hands‑on experience building and deploying Agentic AI systems in production. This is not an “AI‑curious” role — we’re looking for someone who has shipped AI‑powered features, understands the realities of productionizing LLM‑driven workflows, and can influence both technical and product direction.  This is a 100% remote full-time opportunity.  
 

Key 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.

Required Experience & 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.

Nice‑to‑Have Skills

• 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.

Who Thrives Here

• Engineers who want to own both the technical and product direction of AI features.
• Builders who are excited to bring agentic AI from concept to production reality.
• Senior ICs who operate with autonomy and influence without needing formal authority.
• People who want to work on high‑impact, client‑facing initiatives with real‑world complexity.