Senior Backend Engineer, Context Management
New
W
Wand Synthesis AI IncAI Infrastructure
Remote, Europe Timezone, Europe TimezoneFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years
- Required Skills
- DockerPythonElasticSearchETLKubernetesLangChain
Requirements
- Degree in Computer Science, Engineering, or a related field.
- 10+ years of engineering experience with a focus on search, information retrieval, or data engineering.
- Strong proficiency in Python.
- Hands-on experience with search technologies (Elasticsearch, vector databases such as Pinecone, Weaviate, Qdrant, or similar).
- Solid understanding of embeddings, semantic search, and retrieval-augmented generation (RAG) patterns.
- Experience building and maintaining data pipelines and ETL/ELT workflows.
- Familiarity with at least one major data warehouse platform (Snowflake, BigQuery, Databricks, Redshift).
- Experience working with LLM APIs and agent frameworks in production.
- Proficiency in at least one cloud environment (GCP, AWS, Azure).
- Proven track record in a high-paced startup environment.
- Self-sufficiency across the stack, comfortable operating without dedicated DevOps support.
- Experience with containerized environments (Docker, Kubernetes).
Responsibilities
- Design and build scalable search and retrieval systems combining lexical and semantic approaches.
- Develop and maintain connectors to enterprise data sources (SaaS platforms, data warehouses, document stores, APIs).
- Build data pipelines that ingest, transform, and index customer data for use by AI agents.
- Integrate with LLM providers and related frameworks (e.g., LangChain, LlamaIndex) to deliver context-aware agent capabilities.
- Pull and process analytics data from customers' warehouses (Snowflake, BigQuery, Databricks, etc.).
- Own projects end-to-end: from architecture and technical design through implementation, deployment, and ongoing maintenance.
- Collaborate with product and AI teams to translate retrieval quality into measurable agent performance improvements.
- Optimize retrieval pipelines for latency, relevance, and cost efficiency at scale.
View Full Description & ApplyYou'll be redirected to the employer's site
