11 months ago
Base Salary
$200k - $250k/yr
Responsibilities
- Build and deploy multi-agent systems using 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, retrieval pipelines, vector databases, and enterprise systems.
- Build real-time and batch workflows using Python, Kafka, EventBridge, Airflow, Snowflake, S3, n8n, AWS Batch, and similar tools.
- Create and operate LLM/ML endpoints, agent memory and state stores, event-driven triggers, and reusable agent components.
- Implement RAG, tool calling, function calling, structured output, data validation, versioning, monitoring, metrics, guardrails, and reliability controls.
- Build automated testing for agent behaviors, prompts, ETL and batch jobs, and model outputs.
- Collaborate with client stakeholders and delivery teams to define use cases, technical designs, roadmaps, proposals, architecture diagrams, and documentation.
- Apply security, governance, compliance, access control, auditing, model governance, lineage, PII handling, and policy constraints.
- Mentor junior engineers and contribute to internal best practices, reference architectures, onboarding, and reusable accelerators.
Requirements
- Strong Python engineering experience, including asynchronous patterns, APIs, and event-driven design.
- Hands-on experience with multi-agent frameworks such as LangGraph, Autogen, CrewAI, and LangChain.
- Experience building production ETL, orchestration, or workflow automation pipelines using technologies such as Kafka, EventBridge, Airflow, Celery, n8n, and AWS services.
- Experience with vector databases and retrieval pipelines, including Pinecone, pgvector, Elasticsearch, and LlamaIndex.
- Familiarity with MLOps, observability, CI/CD, containerization, and model deployment patterns.
- Experience integrating enterprise systems or APIs in production.
- Strong documentation skills and comfort working in agile environments.
- Preferred experience with Snowflake Cortex, Databricks Mosaic, NVIDIA NIMs, operating agentic systems at scale, safety constraints, system-level debugging, consulting, client-facing engineering, or co-development models.
Benefits
- Medical, dental, and vision insurance.
- 401(k).
- Paid company holidays and paid time off.
- Paid parental and caregiver leave.
- Professional development through certifications, credentials, training, and cross-department learning.
- The posting references additional USA employment benefits online; work arrangement and contract duration are not stated.
Tech Stack
Categories
Solutions Engineering
About AHEAD
AHEAD is an IT services and consulting firm that designs, builds, and operates digital platforms for large enterprises across cloud infrastructure, automation, data and analytics, security, and DevOps. It generates revenue through consulting, systems integration, and managed services, including cloud management and operations. Founded in 2007 and headquartered in Chicago, it is privately held and owned by Centerbridge Partners.