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. The Senior AI Engineer is responsible for designing, developing, and deploying agentic AI solutions for AHEAD’s clients.
Requirements
- Strong Python engineering background, including async patterns, APIs, and event-driven design.
- Hands-on experience with multi-agent frameworks (LangGraph, Autogen, CrewAI, LangChain, etc.).
- Demonstrated ability to build production ETL, orchestration, or workflow automation pipelines (Kafka, EventBridge, Airflow, Celery, n8n, AWS services).
- Experience with vector DBs and retrieval pipelines (Pinecone, pgvector, Elasticsearch, LlamaIndex).
- Familiarity with MLOps, observability, CI/CD, containerization, and model deployment patterns.
- Experience integrating with enterprise systems or APIs in production.
- Experience with Snowflake Cortex, Databricks Mosaic, NVIDIA NIMs, or similar AI platform components.
Responsibilities
- 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
- 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).
Other
- Work closely with client stakeholders to understand use cases, pain points, and success criteria.
- Translate business needs into technical agent designs and execution roadmaps.
- Participate in agile ceremonies, demos, and working sessions with client teams.
- Contribute to proposals, SOWs, architecture diagrams, and client documentation when needed.
- Coach junior engineers on agent design patterns, RAG, orchestration, and clean engineering practices.
