AI Engineer (Hiring Immediately)

Job Description Job Description Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last.

The opportunity You’ll help build what many consider a category-defining product: an “industrial operating system” that turns physical-world sensor data into operational decisions. This role is for builders who thrive in a high-ownership, minimal-process environment and can ship quickly with a “mini founder” mindset. What you’ll build Agent runtime + orchestration: tool use, state management, memory, approval gates (human-in-the-loop), tracing/observability, evaluation, and cost controls Multimodal pipelines for physical-world data: video ingestion + processing (e.g., RTSP) computer vision (detection/segmentation/action recognition) time-series telemetry (vibration/thermal), FFT feature extraction, cross-sensor correlation Context systems grounded in real operations: industrial ontology / knowledge graph mapping plants, assets, sensors, work orders, materials, and maintenance history memory layer: traces, playbooks, asset templates, and transferable failure-pattern libraries Operational decision surfaces: dashboards, alerting with evidence, replanning tools, and audit trails Integration connectors across ERP/CMMS/WMS/historians/PLC layers (e.g., OPC-UA), including normalization + schema mapping Responsibilities Ship production-quality features end-to-end across backend services and user-facing interfaces Build and improve real-time/streaming data architectures (Kafka/Confluent or similar) Partner closely with product and engineers to define scope, tradeoffs, and success metrics Operate with high autonomy (ambiguous problems, light specs) while maintaining a high quality bar Mentor others as needed while staying hands-on (preferred, not required) What we’re looking for Zero-to-one delivery experience is required : you’ve shipped new products or major capabilities in an early-stage environment VC-backed startup experience strongly preferred (pre-seed through Series B ideal).

Big tech logos alone are not considered a differentiator Agentic AI experience is non-negotiable : you’ve built and deployed AI systems/agents in production (orchestration, tool use, memory/state, human-in-the-loop) 3+ years of software engineering experience post-university (5+ preferred); internships can count toward total experience Full-stack engineering capability; comfortable across backend (Python/TypeScript) and frontend Experience integrating AI into enterprise environments (connectors, data systems, security/compliance constraints) Strong English communication skills (written and verbal); comfortable presenting and working cross-functionally (may interface with customers) Nice to have / bonus Physical-world AI experience: video, IoT, sensor streams; industrial computer vision; robotics/autonomous systems Experience with real-time/streaming systems architectures Experience with ontology/knowledge graphs and structured context systems grounded in real asset/process hierarchies Background in high-performance, mission-driven teams (e.g., Palantir/Anduril-style environments) Work arrangement Texas, then remote No immediate relocation required Visa sponsorship not available Compensation Salary: $200K–$240K (OTE: $220K–$270K) Equity: 1.0%–1.5% Hiring: 3–4 candidates Interview process Initial discussion Technical quiz (2–3 engineers) Situational / culture interview Conversations with multiple engineers Why candidates should join Category-defining opportunity: build foundational software for industrial operations over the next 10–20 years Exceptional equity: employee equity pool meaningfully above industry standard Elite team: operators and builders with deep industry credibility across robotics, autonomy, and applied AI Real-world impact: make vast amounts of industrial sensor data useful in high-stakes environments