Job Description
Are you ready to define the future of Artificial Intelligence? OmniLogic Systems is looking for a visionary Senior Agentic AI Architect to join our elite engineering team. In this pivotal role, you will architect the next generation of autonomous agents, integrating advanced Large Language Models (LLMs) into scalable, real-world solutions.
We are not just building software; we are building the intelligence layer for enterprise autonomy. If you thrive in a fast-paced, high-impact environment and possess deep expertise in AI orchestration, this is your opportunity to lead.
Why Join Us?
- Impactful Work: Deploy AI that directly solves complex business problems.
- Top-Tier Compensation: Competitive salary plus equity package.
- Future-Proof Tech Stack: Work with the latest in Generative AI, Vector Databases, and MLOps.
Responsibilities
- Design and implement high-level architecture for autonomous AI agents and multi-agent systems using modern frameworks (LangChain, AutoGen, etc.).
- Optimize LLM performance, reducing latency and cost while maximizing output quality through fine-tuning and prompt engineering.
- Build robust pipelines for data ingestion, vector storage, and retrieval-augmented generation (RAG).
- Collaborate with cross-functional teams (Product, Data Science, Engineering) to translate business requirements into technical AI solutions.
- Mentor junior engineers and establish best practices for AI model governance and safety.
- Stay ahead of industry trends in Generative AI and evaluate emerging tools to drive innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of experience in software engineering with a focus on Machine Learning or Artificial Intelligence.
- Deep proficiency in Python, PyTorch, or TensorFlow.
- Experience building and deploying LLM applications (RAG, Fine-tuning, Function Calling).
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.