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.
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.