AI + Platform Engineer

Qualifications

• ⁠ ⁠Implementing hybrid search (BM25 + vector) with OpenSearch

• ⁠ ⁠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

• ⁠ ⁠Enterprise integrations (Salesforce, SAP, etc.)

• ⁠ ⁠GPU-based embedding pipelines

• 5 more items(s)

Benefits

• ⁠ ⁠LangChain / LangGraph

• ⁠ ⁠Own systems end-to-end (AI + infra + product)

• ⁠ ⁠Opportunity to shape the core architecture

Responsibilities

• ⁠ ⁠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

• ⁠ ⁠Working on event-driven pipelines (SQS, Kinesis, async systems)

• ⁠ ⁠Deploying production systems on AWS (ECS, Lambda, Redis, S3)

• 3 more items(s)

More job highlights

Job description

🚀 ‘’’ We’re Hiring: AI + Platform Engineer | 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.

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🔧 What you’ll work on:

•⁠ ⁠Building RAG pipeli nes (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)

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🧠 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

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💡 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.

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🔥 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

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