GenAI Engineer: Python & Agentic AI Architect

Mindlance

Concord (NH)

Hybrid

USD 150,000 - 190,000

Full time

9 days ago
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Job summary

Mindlance is seeking a Sr. Specialty Software Engineer – GenAI Engineer / Agentic AI Engineer for a 12-month hybrid engagement based in Concord, CA.

The role emphasizes hands-on Python development and practical GenAI/LLM work to build a greenfield Agentic AI platform for personalized offers and campaign orchestration. The candidate will design and maintain production Python services, develop multi-agent workflows and integrate LLM capabilities, with focus on safe, scalable implementation and

Qualifications

  • This role requires hands-on Python development with production-ready code.
  • Experience building Generative AI / LLM-based applications.
  • Hands-on work with AI agents / Agentic AI and agent orchestration.
  • Experience with vector databases and RAG knowledge retrieval.
  • Familiarity with guardrails and responsible AI practices.

Responsibilities

  • Design, develop, and maintain production-quality Python services for AI/agent workflows.
  • Build and enhance LLM-powered AI agents for engagement use cases.
  • Develop multi-agent workflows and agent-to-agent orchestration.
  • Create reusable, scalable components for agent lifecycle management and execution.
  • Integrate LLM capabilities via APIs and AI platforms; apply prompt techniques.
  • Work with vector DBs and knowledge retrieval to support RAG workflows.
  • Structure data into knowledge layers to support LLM/agent workflows.
  • Implement AI guardrails for reliable agent execution and safety.

Skills

Python development
GenAI/LLM
Agentic AI
Multi-agent workflows
Prompt engineering
API integration
Production-grade

Job description

Mindlance is seeking a Sr. Specialty Software Engineer – GenAI Engineer / Agentic AI Engineer for a 12-month hybrid engagement based in Concord, CA.

The role emphasizes hands-on Python development and practical GenAI/LLM work to build a greenfield Agentic AI platform for personalized offers and campaign orchestration. The candidate will design and maintain production Python services, develop multi-agent workflows and integrate LLM capabilities, with focus on safe, scalable implementation and

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