Senior AI Engineer

Department: Backend

Employment Type: Full Time

Location: Dallas, Texas, USA, Remote

Key Responsibilities

• Design and build RAG systems, embeddings, vector search, chunking, and evaluation pipelines.
• Build and maintain multi-agent orchestration workflows (LangGraph, AutoGen, CrewAI, or similar).
• Develop backend services and APIs (Python — Flask/FastAPI) that expose AI workflows to production systems.
• Deploy and scale AI workloads in cloud-native environments, using serverless or containerized patterns.
• Implement LLMOps practices: prompt versioning, cost tracking, monitoring, and evaluation.
• Write clean, tested code, and use AI-assisted tools (Copilot, Cursor, Claude Code) to move faster without cutting corners.
• Work with data and platform engineers to ship GenAI features quickly, from prototype to production.

Skills, Knowledge and Expertise

Must-Have Skills

• 5+ years of backend experience, with strong Python coding skills.
• Proven experience shipping RAG systems (vector DBs, embeddings, chunking).
• Familiarity with orchestration frameworks (LangGraph, LangChain, AutoGen, or similar).
• Experience with APIs, microservices, and cloud-native development (AWS preferred).
• Familiarity with distributed systems concepts (async, message queues, caching).

Nice-to-Have

• Experience with unstructured data (PDFs, tables, images).

Soft Skills

• Builder mindset: thrives on writing, debugging, and improving production code.
• Collaborative, humble, and open to feedback.
• Strong communicator who explains design decisions clearly.