Sr. Agentic AI Engineer
Job Description
Realign LLC is building enterprise-grade Agentic AI capabilities with a focus on Supply Chain use cases, and the team is seeking a senior engineer to develop, own, and scale production systems. This role combines hands-on architecture and implementation with integration testing, monitoring, and cross-functional partnership across IT, product, and research.
What you’ll do
- Develop and own enterprise-grade Agentic AI systems for Supply Chain use cases, including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment, monitoring, and full lifecycle management.
- Capture design requirements, translate them into user stories, and drive technical design end to end through integration testing, including data setup and issue remediation during UAT.
- Support development team activities and develop a Hypercare support model.
- Implement hands-on enterprise Agentic AI Supply Chain solutions using LLMs, agentic frameworks, and NVIDIA technologies including NeMo and AIQ.
- Partner with Enterprise IT engineering, product, and research teams to integrate LLM-based solutions with enterprise IT and Operations data sources.
- Ensure integration with enterprise data sources and Industry’s best Agentic platforms, with a strong content security focus.
- Drive architectural decisions across on-prem, cloud, hybrid, and containerized deployment models to deliver scalable, reliable, and efficient solutions.
- Lead technical design reviews, develop technical design documentation, and follow principles of code development.
- Define agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies for enterprise supply chain scenarios.
- Design and implement agent observability and evaluation frameworks covering latency, accuracy, cost, failure modes, and hallucination analysis.
Requirements
- Bachelor’s degree in Computer Science or related field (or equivalent experience).
- 12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.
- Strong hands-on expertise in Python for production-grade AI systems, plus experience with SQL and JSON and backend service development (Java a plus).
- Proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
- Experience with LLMs, RAG architectures, and agent orchestration frameworks such as ReAct patterns, LangChain-based systems, and AutoGPT-style workflows.
- Hands-on experience with vector databases, embeddings, and retrieval optimization, including indexing strategies, similarity search tuning, and relevance evaluation for production systems.
- Experience designing multi-agent communication and coordination patterns (planner/executor/critic, supervisor agents, etc.).
- Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) via APIs, data connectors, or custom services.
- Strong technical solution design and analytical skills, including the ability to perform technical and business process modeling.
- Excellent collaboration skills, including influencing cross-functional stakeholders and building trusted partnerships.
- Ability to communicate complex architectural concepts clearly to both technical and business audiences.
Technologies
- Python, SQL, JSON, Java
- LLMs, RAG, ReAct patterns, LangChain, AutoGPT-style workflows
- Vector databases, embeddings
- ERP, CRM, ITSM
- NVIDIA NeMo, AIQ
Location: Santa Clara, CA (onsite). Salary: USD 150,000 per year.
Required skills
- DevOps Engineer