AI + Platform Engineer

About Highwatch AI

We’re building something ambitious at Highwatch — an AI-powered layer that connects enterprise systems (Salesforce, SAP, HubSpot, internal data) and turns them into real-time, intelligent decision engines.

This is NOT a typical ML role.

This is end-to-end AI systems engineering.

What you’ll work on:

• Building RAG pipelines (retrieval, embeddings, ranking)
• Designing multi-agent systems (manager ↔️ worker architecture)
• Integrating LLMs via AWS Bedrock & other providers
• Developing scalable APIs using FastAPI
• Implementing hybrid search (BM25 + vector) with OpenSearch
• Working on event-driven pipelines (SQS, Kinesis, async systems)
• Deploying production systems on AWS (ECS, Lambda, Redis, S3)

What we’re looking for:

• Strong Python backend experience
• Hands-on with LLMs / RAG / AI agents
• Experience with OpenSearch / vector search
• Understanding of distributed & async systems
• AWS or similar cloud experience

Bonus:

• LangChain / LangGraph
• Enterprise integrations (Salesforce, SAP, etc.)
• GPU-based embedding pipelines

Why this role matters:

You’ll help build AI systems that can answer:

“Where is my order?”

“Is this lead qualified?”

“What caused this incident?”

Not from static data — but by thinking, retrieving, and reasoning in real time.

Why join Highwatch:

• Work on real-world enterprise AI (not demos)
• Own systems end-to-end (AI + infra + product)
• Fast-moving, high-impact team
• Opportunity to shape the core architecture