Senior Python & Agentic AI Engineer

Posted Yesterday
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Atlanta, GA, USA
In-Office
Senior level
Cloud • Information Technology • Consulting • Cybersecurity
The Role
Design, build, and deploy production-grade agentic AI workflows in Python. Lead architecture, orchestration, model integration, vector search, and retrieval pipelines; ensure reliability, security, and observability while mentoring engineers and partnering with product and clients.
Summary Generated by Built In

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.

Skills Required

  • Strong Python engineering background with experience building production-grade systems.
  • Demonstrated experience shipping AI/ML or LLM-powered features in production.
  • Hands-on experience with agentic AI frameworks, LLM APIs, vector databases, embeddings, and retrieval pipelines.
  • 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 ability to collaborate with cross-functional teams.
  • Mentor engineers and promote technical excellence.
  • Experience working in fast-paced, client-facing, or consulting-style environments.
  • 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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The Company
HQ: Atlanta, GA
69 Employees
Year Founded: 2015

What We Do

ImagineX Consulting is a cybersecurity-focused boutique technology consulting firm whose mission is to help our clients and consultant to #BeBetter. We specialize in Cybersecurity, Agile Software Engineering, DevOps and Cloud, Data Insights, and Technology Platform integration. Delivering technical solutions with pragmatic and iterative methods, our seasoned technology consultants deliver tangible value on our clients’ mission critical risk reduction initiatives. ImagineX Consulting is headquartered in Atlanta GA with offices in Washington DC, Raleigh, Denver, and New York. Our unique culture has received consecutive yearly recognition from Consulting Magazine and Atlanta Business Chronicle as being a best small firm to work for. We are a 2020 Atlanta Business Chronicle Top 50 Fastest Growing Private Company and a 2020 Inc5000 Award winner.

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