- Company Name
- 10a Labs
- Job Title
- Solutions Engineer
- Job Description
-
Job Title: Solutions Engineer
Role Summary
Design, prototype, and implement AI solution architectures for enterprise clients, bridging engineering with customer success. Deliver high‑impact, scalable, and secure AI integrations, focusing on language models, vector stores, and event‑driven pipelines.
Expectations
• 4‑month contract (extendable) in a remote‑first environment.
• 3‑5+ years of solutions or software engineering experience.
• Strong applied AI knowledge and hands‑on API integration.
• Proven ability to manage multiple projects, provide rapid feedback, and communicate across technical and business stakeholders.
Key Responsibilities
1. Lead pre‑sales and post‑sales customer engagements, delivering technical demos and architecture proposals.
2. Design and deliver solution architectures using AI APIs, vector databases (Pinecone, Weaviate, FAISS, Milvus), message queues (RabbitMQ, SQS, Kafka, Pulsar), and durable execution platforms (Temporal).
3. Prototype integrations, prototype reference implementations, and iterate based on client feedback.
4. Collaborate with engineering to troubleshoot, optimize, and secure customer deployments.
5. Draft and maintain documentation: architecture diagrams, best‑practice guides, FAQs, and reference code.
6. Provide security and compliance guidance, ensuring alignment with IT security principles for B2B SaaS deployments.
7. Act as a technical liaison, feeding product and engineering with customer insights to improve the developer experience.
Required Skills
• Solutions engineering or technical consulting background.
• Proficiency in AI APIs, RAG architectures, vector databases, and event‑driven messaging.
• Experience with distributed streaming (Kafka, Pulsar) and durable execution (Temporal).
• Strong understanding of data privacy, model evaluation, and security best practices.
• Excellent written and verbal communication; ability to translate technical concepts to non‑technical audiences.
• Self‑directed, detail‑oriented, and comfortable in fast‑moving environments.
Required Education & Certifications
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Relevant certifications in cloud or AI platforms preferred (e.g., AWS Certified Solutions Architect, Azure AI Engineer Associate).