Senior AI Engineer, AI Services

Company: Ahead

Location: United States (Remote)

Salary: $200,000 - $250,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-07-28

About this role

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.

*We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.*

### Key Responsibilities

  • **Solution Development & Deployment**
  • Build and deploy multi-agent systems using frameworks such as LangChain, LangGraph, Autogen, CrewAI, and LlamaIndex.
  • Develop custom agents for document processing, workflow automation, SDLC acceleration, data analysis, and business process orchestration.
  • Integrate LLMs, SLMs, embeddings, and retrieval pipelines (Pinecone, Elasticsearch, Snowflake Cortex, pgvector)
  • Create and operate LLM/ML endpoints, agent memory/state stores, and event-driven triggers.
  • Implement reusable components that become part of AHEAD’s agent library and client solution accelerators
  • **Enterprise Integration & Workflow Automation**
  • Build real-time and batch workflows using Python, Kafka, EventBridge, Airflow, Snowflake, S3, n8n, AWS Batch, and similar tools.
  • Connect agents to enterprise systems (SharePoint, Salesforce, ServiceNow, Jira, Oracle, databases, APIs).
  • Implement RAG, tool-calling, function calling, and structured output pipelines for production-ready agentic tasks.
  • Ensure robust data transformations, validation, and ...

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