Full time Python ML Search Engine

Senior Python Engineer – ML/AI Search

We’re building the next generation of intelligent product search—systems that understand user intent, learn from behavior, and continuously improve. As a Senior Python Engineer on our ML/AI Search team, you’ll architect and build the backend services that power product discovery for millions of industrial buyers. Think scalable retrieval pipelines, real-time inference, and APIs that make advanced AI usable across the business.

This is a hands-on engineering role—not research. You’ll prototype, ship, and iterate quickly, deploying production systems on GCP and improving them based on real-world performance. If you love Python, distributed systems, and search technology, you’ll thrive here.

What You’ll Work On

• Design, develop, and deploy end-to-end Python services—from retrieval and ranking pipelines to customer-facing APIs.
• Integrate ML inference pipelines: embeddings, transformer models, LLM-powered query understanding, and reranking.
• Build event-driven, real-time architectures using GCP (Cloud Run, Pub/Sub, GKE, Cloud Functions).
• Own your services in production: testing, observability, monitoring, and on-call.

Shape Our Search Infrastructure

• Partner with Search and ML Architects to build hybrid retrieval systems combining keyword search, vector similarity, and ML reranking.
• Maintain Elasticsearch indexing pipelines, query services, and relevance-tuning tools.
• Integrate vector databases (Pinecone, Weaviate, FAISS, etc.) into retrieval workflows.
• Instrument pipelines with meaningful metrics (CTR, zero-result rate, latency) to drive A/B experimentation.

Raise the Engineering Bar

• Champion CI/CD, observability, testing, and infrastructure-as-code.
• Lead design discussions and translate product requirements into clean, scalable solutions.
• Participate in code reviews and knowledge-sharing to elevate the entire team.

What You Bring

Must-Haves

• 4+ years of professional backend or full-stack engineering experience with a strong Python focus.
• Experience building and deploying cloud-native applications (GCP preferred; AWS/Azure welcome).
• Hands-on experience with microservices, REST/gRPC APIs, Docker, Kubernetes, and serverless patterns.
• Strong grounding in software design principles and clean engineering practices.
• Excellent communication skills and comfort working with ML engineers, architects, and product teams.
• Willingness to use AI tools to accelerate development.

Strongly Preferred (Search + ML Experience)

• Experience with search platforms (Elasticsearch, OpenSearch, Solr, Algolia).
• Familiarity with vector search concepts and tools (embeddings, ANN, FAISS, Pinecone, Weaviate).
• Exposure to ML/AI workflows: RAG pipelines, LLM integration, prompt engineering, fine-tuning.
• Experience with AI orchestration frameworks (LangChain, LangGraph, Google ADK).
• Infrastructure-as-code (Terraform, Pulumi) and mature CI/CD pipeline ownership.