Senior AI Engineer

Stack

Responsibilities

• ▹Design and build distributed data pipelines (Apache Beam, Python) for large-scale document and model processing
• ▹Implement horizontally scalable LLM-powered extraction workflows across thousands of entities
• ▹Build runner-agnostic pipelines that run across multiple environments (local, cloud, on-prem)
• ▹Design and implement entity resolution and cross-referencing systems with confidence scoring
• ▹Architect and build graph-based Knowledge Bases (Dgraph or similar), including schema design and query optimization
• ▹Develop pluggable LLM extractor frameworks (classification, relationships, completeness, document linking)
• ▹Build abstraction layers for LLM providers (Anthropic Claude, Google Gemini, local models via Ollama/vLLM)
• ▹Optimize LLM usage for cost, latency, and reliability in production environments
• ▹Design and implement backend service layers (Go-based APIs) connecting AI pipelines with agent systems
• ▹Ensure observability, debugging, and performance monitoring across distributed AI systems
• ▹Package and deploy systems using Docker (docker-compose, containerized environments)
• ▹Collaborate directly with client teams on integrations, validation, and production rollout

Requirements

• ▹5-8+ years of experience in AI Engineering, Data Engineering, or Applied ML Infrastructure
• ▹Expert-level Python
• ▹Strong experience with distributed processing frameworks (Apache Beam preferred; Spark/Flink acceptable)
• ▹Hands-on experience integrating LLMs in production (prompting, orchestration, provider abstraction)
• ▹Experience with graph databases (Dgraph, Neo4j, JanusGraph, or similar)
• ▹Strong understanding of distributed systems, parallel processing, and large-scale data pipelines
• ▹Solid SQL and data modeling fundamentals
• ▹Experience with Docker and containerized deployments
• ▹Experience with cloud platforms (GCP preferred, AWS/Azure acceptable)
• ▹Strong backend/system design mindset
• ▹English level: B2+ (C1 preferred)
• ▹Availability to overlap with US business hours

Nice to have

• ▹Working experience with Go (for API/service layer contributions)
• ▹Experience with local LLM inference (Ollama, vLLM, TensorRT-LLM)
• ▹Experience deploying systems in airgapped or restricted environments
• ▹Background in defense, aerospace, or complex enterprise systems
• ▹Familiarity with MBSE / SysML tooling and model-based data (XMI, Cameo, etc.)
• ▹Experience with document parsing pipelines (Docling)

Soft skills

About the company

An AI consulting group that builds serious, production-grade systems for companies operationalizing artificial intelligence across their business, with custom AI solutions that integrate directly into operations and drive measurable results.