Agentic AI/AI Engineer

Programmers.io; Santa Clara (CA); Sur place; USD 140 000 - 220 000; Plein temps

Résumé du poste

Programmers.io is seeking a senior engineer to develop and own enterprise-grade Agentic AI systems for Supply Chain use cases, including multi-agent architectures, orchestration frameworks, and RAG pipelines. You will deploy, monitor, and manage full lifecycle aspects, collaborating with IT, product, and research teams.

You will drive architectural decisions for on-prem, cloud, or hybrid deployments and design agent observability, human-in-the-loop workflows, and escalation strategies.

Qualifications

• 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.
• Proficiency in Python for building production-grade AI systems, with experience in SQL, JSON, and backend service development (Java a plus).
• Demonstrated expertise in AI/ML systems, generative AI, or agentic AI frameworks.

Responsabilités

• 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 to user stories, perform technical design, drive end-to-end integration testing, support data setup and issue remediation during UAT, manage development team activities, develop Hypercare support model.
• Hands-on in development and implement enterprise-grade Agentic AI Supply Chain solutions.
• Partner with Enterprise IT, product, and research teams while using LLMs, agentic frameworks.
• Ensure integration with enterprise IT and Operations data sources and Industry’s best Agentic platforms with strong content security focus.

Connaissances

Python

SQL

JSON

Java

AI/ML systems

Generative AI

Agentic AI frameworks

LLMs

RAG architectures

LangChain

AutoGPT

Vector databases

Embeddings

Retrieval optimization

Multi-agent coordination

APIs

Data connectors

Backend service development

Formation

Bachelor’s degree in Computer Science or related field

Outils

LangChain

AutoGPT

ReAct

Vector databases

Description du poste

• 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 requirements into user stories, perform technical design, drive end to end integration testing, support data set up and issue remediation during UAT, manage development team activities, develop Hypercare support model
• Be hands on in development and implement enterprise grade Agentic AI Supply Chain solutions
• Partner with Enterprise IT engineering, product, and research teams while using LLMs, agentic frameworks,
• Ensure integration with enterprise IT and Operations data sources and Industry’s best Agentic platforms with strong content security focus.
• Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) 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 use cases.
• Design and implement agent observability and evaluation frameworks (latency, accuracy, cost, failure modes, and hallucination analysis).

What we need to see:

• 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 building production-grade AI systems, with experience in SQL, JSON, and backend service development (Java a plus)
• Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
• Experience working 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) with APIs, data connectors, or custom services.
• Strong technical solution design, analytical skills, and the ability to perform technical and business process modeling
• Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships.
• Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.