# Senior AI Engineer

**Company:** [Socure](https://hotfix.jobs/companies/socure)
**Location:** Carson City, NV, New York, NY
**Role:** ML Engineering
**Salary:** $200k – $230k/yr
**Experience:** 8+ years
**Skills:** Python, LangGraph, Crewai, Autogen, LLM APIs, RAG, Vector Databases, Langsmith, Aws Bedrock, SageMaker, Multi-Agent Systems, Workflow Orchestration
**Posted:** 2026-05-27

> Build and deploy production-grade agentic AI systems and automation workflows that drive efficiency across sales, marketing, finance, and other business functions. Partner with stakeholders to identify high-impact use cases and deliver reliable, observable LLM-powered solutions.

## Job Description

## What You'll Do

### Prioritization of High-Impact Automation
- Partner with business teams (e.g., Revenue Ops, Marketing, Finance Ops, Talent Acquisition) to catalog manual, high-frequency workflows and rank them by impact, feasibility, and urgency.

### Production Agent Design & Development
- Build multi-step, tool-augmented agent workflows that can plan, execute, observe outcomes, and iteratively improve.
- Design and implement planner–executor and reflection-based architectures to enhance reasoning quality and task reliability.
- Develop stateful agent systems and incorporate human-in-the-loop controls, including approval gates, fallback paths, and escalation mechanisms.

### Platform Integration
- Leverage the Agentic AI Foundations team's platform covering agent runtime, orchestration, memory, tool registry, guardrails, and observability.
- Provide feedback that shapes platform priorities.

### Innovation & Standards
- Leverage LLMs, multi-agent frameworks, and orchestration platforms to create differentiated internal solutions.
- Stay ahead of emerging AI technologies and regulatory frameworks.

### Technical Patterns
- Discover reusable agent design patterns while building real workflows and contribute them back to the Agentic AI Foundations paved paths.

### Operational Excellence
- Leverage the evaluation harness and tracing substrate for continuous performance assessment, failure-mode analysis, and optimization of speed and accuracy.

## What We're Looking For

### Required
- 8+ years of software engineering experience, with at least 2 years focused on AI/ML systems or LLM-powered applications in production.
- Deep hands-on experience with LLM APIs and at least one agentic framework (e.g. LangGraph, CrewAI or AutoGen).
- Strong Python skills and experience building production-grade backend services, APIs, and data pipelines.
- Proven ability to operate in ambiguity: walked into an undefined problem space, figured out what to build, built it, and measured the results.
- Experience shipping AI/automation solutions that directly impacted business operations.
- Strong systems thinking: design for reliability, observability, and maintainability from day one.
- Ability to collaborate directly with non-technical business stakeholders to understand their workflows and translate those into technical solutions.

### Preferred
- Experience with multi-agent systems, workflow orchestration, or complex tool-use patterns in production.
- Familiarity with evaluation frameworks (e.g., LangSmith, Weights & Biases, Arize, or custom eval pipelines).
- Experience with RAG pipelines, vector databases, knowledge graphs, or memory/grounding systems.
- Experience with real-time or streaming AI systems.
- Familiarity with AI safety and security practices, including prompt injection prevention, hallucinations mitigation and data protection/privacy.
- Background in a regulated industry (fintech, healthcare, government).
- Experience with agent skill abstraction and structured tool integration via MCP (Model Context Protocol), function calling or similar protocols.
- Experience with AWS-hosted LLM infrastructure (Bedrock, AgentCore/Strands, Lambda, SageMaker).

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**Canonical:** https://hotfix.jobs/jobs/efb43ece-5643-4e58-a385-3eb6c12a06c0