Agentic AI Engineer

150 - 175 PLN/ godz./ godz.B2BB2B (netto)

MidZdalnieFull-time·B2B

#479905·Dodano wczoraj·1

Źródło: nofluffjobs.com

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Tech Stack / Keywords

PythonAI GuardrailsUnity CatalogVector SearchTool Calling / Function CallingLLM (Large Language Models)RAGDatabricks Mosaic AISalesforce AgentforceAgentic AI

Podsumowanie oferty

Design, build, and deploy autonomous and human-in-the-loop AI agents across enterprise platforms. Combine Salesforce Agentforce orchestration with Databricks data and machine learning capabilities to automate business workflows.

Wymagania

3+ years of software engineering, ML engineering, or applied AI experience, including hands-on delivery of LLM-based agents in production.
Practical experience with Salesforce Agentforce (or Einstein Copilot / the Salesforce AI ecosystem) and Databricks (Mosaic AI, Spark, Python, SQL).
Strong understanding of agentic architectures: tool/function calling, planning loops, memory management, and hybrid RAG.
Solid experience with REST/GraphQL APIs, authentication protocols (e.g., OAuth, OIDC), and enterprise data governance.
Ability to translate business workflows into deterministic guardrails and reliable prompt/action designs.

Obowiązki

Design, configure, and deploy multi-step AI agents using Salesforce Agentforce topics, actions, prompt templates, reasoning engines, and guardrails.
Build backend data, RAG, and tool-calling pipelines on Databricks, including Mosaic AI, Vector Search, Unity Catalog, and Model Serving.
Integrate enterprise APIs, knowledge graphs, and CRM/ERP data sources so agents can retrieve context and execute actions securely.
Implement evaluation frameworks, latency and cost optimizations, and observability for agentic workflows in production.
Enforce security, role-based access control (RBAC), and compliance guardrails across agent interactions.

Inne informacje

During the onboarding phase, working hours may be adjusted to overlap with US hours until 7:00 PM at the latest.

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