Nexxa builds specialized AI for industrial engineering in heavy project industries.
Project industries like railroads, energy, construction, mining and others rely on highly educated industrial engineers to function.
Today, industrial engineers have to do their work in a fragmented, sometimes outdated technology stack.
Nexxa delivers AI agents that understand the technical work and augment the engineer in their most critical, but repetitive work.
Our vision is to build an AI system that works with the engineer from scratch and accelerates engineering productivity without any pre-training.

Nexxa.ai

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artificial-intelligence

Nexxa.ai is an industrial AI company building agentic automation for industrial operations. Its platform learns from engineers and employees to take over complex, repetitive workflows, autonomously setting goals and execution criteria to increase productivity and resilience. Delivered as an integrated solution that works with existing technology stacks, Nexxa.ai positions itself as a SaaS-like enterprise tool that generates immediate ROI for operations teams.

Nexxa builds specialized AI for industrial engineering in heavy project industries. Project industries like railroads, energy, construction, mining and others rely on highly educated industrial engineers to function. Today, industrial engineers have to do their work in a fragmented, sometimes outdated technology stack. Nexxa delivers AI agents that understand the technical work and augment the engineer in their most critical, but repetitive work. Our vision is to build an AI system that works with the engineer from scratch and accelerates engineering productivity without any pre-training.

• Design, train, evaluate, and deploy computer vision models for real-world industrial applications
• Build and optimize computer vision pipelines for object detection, segmentation, classification, OCR, tracking, and visual understanding
• Develop and fine-tune vision-language models for multimodal reasoning, visual question answering, and document understanding
• Design and optimize real-time inference pipelines for edge devices and cloud deployment
• Build scalable data pipelines for image and video collection, annotation, augmentation, training, and evaluation
• Fine-tune and evaluate open-source vision and multimodal foundation models
• Develop evaluation frameworks and benchmarks measuring accuracy, robustness, latency, and business impact
• Optimize models using quantization, pruning, and hardware-accelerated inference
• Collaborate with product, engineering, and research teams to translate business requirements into technical vision solutions
• Contribute to architecture decisions, technical design reviews, and AI/CV best practices
• Stay current with computer vision, multimodal AI, and autonomous systems advancements

AI Vision Engineer

AI Vision Engineer building production computer vision and multimodal AI systems for heavy industries at Nexxa. Deploying real-time models across edge devices and cloud environments.

ai-engineer

• Design, build, and maintain backend services and APIs powering GenAI, LLM, and Computer Vision model integrations
• Build and own AI/ML infrastructure including model-serving pipelines, inference services, data pipelines, and embedding/vector stores
• Architect scalable, production-grade systems for real-time and batch AI workloads
• Implement and optimize RAG systems, prompt/context pipelines, and orchestration layers
• Build APIs, microservices, and integration layers connecting AI systems to customer data, legacy systems, and existing infrastructure
• Own reliability, performance, and observability of backend AI systems, including logging, monitoring, testing, and CI/CD
• Collaborate with Forward Deployed Engineers, ML engineers, and product teams to translate requirements into reusable backend capabilities
• Evaluate and integrate ML, CV, and LLM models into production systems; manage model versioning, rollout, and deployment pipelines
• Produce architecture diagrams, API specifications, and runbooks
• Mentor engineers and contribute to backend engineering best practices

Backend AI Engineer

Backend AI Engineer building scalable model-serving, RAG, and microservice infrastructure. Powering Nexxa.AI’s autonomous AI systems for manufacturing, infrastructure, logistics, and legacy environments.

qa-engineer

• Own quality for Nexxa's AI agent systems used in industrial environments
• Design and build evaluation harnesses and regression suites for LLM-based agents
• Develop golden datasets and labeled test sets covering edge cases, ambiguous inputs, and adversarial prompts
• Define and track quality metrics including groundedness, hallucination rate, task success rate, latency/cost tradeoffs, and safety violations
• Build automated evaluation pipelines for model, prompt, and tool-integration changes and integrate them into CI/CD
• Conduct structured red-teaming and adversarial testing, including prompt injection, jailbreaks, tool misuse, and unsafe actions
• Test the full agent action loop: planning, tool selection, tool execution, error recovery, and final output
• Investigate and triage failures involving models, prompts, tools/APIs, or orchestration logic
• Partner with ML and backend engineers to produce actionable, reproducible bug reports
• Establish quality bars and sign-off criteria for new agent capabilities
• Mentor engineers on testing strategies for probabilistic, LLM-driven systems
• Advocate for testability and observability in agent architecture
• Collaborate with ML engineers, backend engineers, and Forward Deployed Engineers

QA Engineer, AI Systems

QA Engineer building evaluation infrastructure for Nexxa’s autonomous AI agents in heavy industries. Testing reasoning, tool use, safety, and reliability across industrial workflows.

infrastructure-engineer

• Own the compliance calendar across SOC 2 Type 2 and ISO 27001, including evidence collection, access and vendor reviews, control monitoring, internal audit, management review, policy refresh, and audit readiness
• Triage security findings across cloud posture, code scanning, dependencies, and secrets, and drive remediation to closure
• Remediate findings directly in infrastructure as code, IAM policy, and pipeline configuration
• Administer identity and access across cloud and SaaS, including SSO/federation, least-privilege roles, and the joiner/mover/leaver lifecycle
• Support internal IT operations, including endpoint fleet and device compliance, SaaS and license administration, asset inventory, and support requests
• Serve as the working interface to external auditors, the certification body, and customer security and procurement reviews
• Build controls into infrastructure using automatically enforced guardrails that fail closed
• Harden CI/CD and the software supply chain, including build identity, artifact provenance, dependency hygiene, and secret hygiene
• Debug production issues across cloud infrastructure, containers, and networking
• Write postmortems and produce runbooks, control narratives, architecture notes, and other operational documentation

Security & Infrastructure Engineer

Security and Infrastructure Engineer securing Nexxa’s AI systems for heavy industries. Owning cloud infrastructure, security operations, and SOC 2/ISO 27001 compliance.

devops-engineer

• Own and evolve Nexxa's core infrastructure, including compute, networking, storage, and deployment systems, end-to-end
• Design and operate CI/CD pipelines supporting safe iteration across AI, data, and product engineering teams
• Build and maintain infrastructure-as-code for reproducible, auditable cloud and on-prem/edge environments
• Architect and manage Kubernetes platforms for training, inference, and application workloads, including GPU scheduling and autoscaling
• Support data warehouses, lakehouse architectures, feature stores, embedding indices, retrieval pipelines, and model training, evaluation, and serving infrastructure
• Define and drive observability practices covering metrics, logging, tracing, and alerting across distributed systems
• Establish reliability practices including SLOs/SLIs, incident response, postmortems, and on-call rotations
• Design security and compliance across cloud infrastructure, secrets management, and access control
• Make pragmatic tradeoffs among cost, latency, reliability, and developer velocity
• Collaborate with engineering leadership on infrastructure roadmap and platform strategy
• Mentor engineers on infrastructure best practices and promote operational excellence

Staff DevOps Engineer

Staff DevOps Engineer owning reliable, scalable infrastructure for Nexxa’s AI systems. Supporting machine learning workloads across heavy-industry operations.

engineer

• Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements.
• Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources.
• Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration.
• Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.
• Build reliable, scalable software integrations using APIs, cloud services, and containerized systems.
• Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations.
• Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features.
• Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction.
• Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams.
• Mentor junior engineers and contribute to internal best practices for FDE delivery.

Forward Deployed Engineer

Senior Forward Deployed Engineer at Nexxa.ai translating technical challenges into AI-powered solutions. Fostering relationships with customers while leading end-to-end project lifecycles with deep technical integration.

Nexxa.ai

About the company

Open jobs

6 jobs found

AI Vision Engineer

Nexxa.ai

Backend AI Engineer

Nexxa.ai

QA Engineer, AI Systems

Nexxa.ai

Security & Infrastructure Engineer

Nexxa.ai

Staff DevOps Engineer

Nexxa.ai

Forward Deployed Engineer

Nexxa.ai