Jobs at Neuron7.ai

Design and build Python-based integrations, data pipelines, APIs, and AI-enabled workflows; deploy and maintain LLM/NLP/RAG capabilities in cloud environments; troubleshoot production issues; lead customer-facing implementations and mentor engineers to deliver scalable, reliable solutions.

Design, implement, and manage CI/CD pipelines and cloud infrastructure (AWS/Azure/GCP); automate provisioning with Terraform/Ansible; containerize apps with Docker/Kubernetes; monitor performance (Prometheus/Grafana/ELK); ensure security/compliance; troubleshoot availability issues; mentor junior engineers and document processes.

The role involves guiding the implementation and optimization of AI solutions for enterprise clients, focusing on customer onboarding, technical deployments, and service transformation initiatives.

The Product Management Apprentice supports product teams in building AI-powered products by assisting in documenting requirements, analyzing use cases, and collaborating across teams, offering hands-on training for early-career talent.

Lead and manage CI/CD pipelines, collaborate with teams on deployment processes, monitor system performance, automate infrastructure, and mentor junior engineers.

The Product Manager will lead the strategy and execution of agent product experiences, collaborating with teams to enhance AI diagnostics and optimize service workflows.

The Release Manager will oversee the complete release lifecycle, emphasizing QA processes, CI/CD pipeline optimization, and effective communication with stakeholders to ensure high-quality software releases.

Implement and deploy Python-based backend services and integrations for enterprise customers, build data pipelines for AI/ML workflows, integrate LLM/NLP and RAG components, ensure reliable cloud deployments, troubleshoot production issues, and collaborate with Customer Success, ML, and engineering teams to deliver scalable, productionized solutions.

Lead end-to-end technical implementations for enterprise customers: develop Python microservices and APIs, build data ingestion and validation pipelines, integrate LLM/NLP and ML components (RAG/embeddings), deploy services to cloud, ensure reliability and observability, troubleshoot production issues, and collaborate with Customer Success and ML teams while mentoring junior engineers.

As a Staff Data Scientist, lead the design and deployment of NLP solutions, mentor team members, and collaborate on AI/ML products to analyze unstructured data.

The role involves managing customer onboarding, building demos, and configuring AI solutions as part of the deployment process. The engineer will develop streaming log ingestion, enhance the RCA agent, and contribute to tool and log parser development, ensuring successful AI operationalization for enterprise customers.

The Senior AI Solutions Engineer will manage customer onboarding, configure AI tools, write Python code, develop streaming pipelines, and create custom demos to optimize LogIQ's performance for enterprise clients.

Lead architecture and development of scalable backend and full-stack features for AI-native products, build agentic AI workflows and orchestration, design distributed systems and APIs, ensure security and performance, troubleshoot production, and mentor engineers.