Software Engineer, Applied AI Solutions

About the Company

Cloudwick is an AWS-certified data and AI company that helps organizations modernize how they manage and use data. Since 2010, we’ve worked with enterprises and public sector organizations to build secure, scalable data platforms and AI solutions that solve real operational problems.

Aorphic Data Platform

Amorphic is Cloudwick’s cloud-native platform for modern data and AI operations. It runs securely in customer AWS environments and brings together data ingestion, cataloging, access control, governance, and AI enablement in one place. The goal is straightforward: make it easier for organizations to get value from their data without stitching together a long list of tools or taking on unnecessary infrastructure overhead. Amorphic is built with security, usability, and compliance in mind, and is designed for organizations running sensitive and mission-critical workloads.

Amorphic Intelligent Automation Solutions

Our Intelligent Automation solutions help organizations reduce repetitive, manual work through AI-powered automation. Typical use cases include intelligent document processing, workflow automation, case summarization, reporting, routing, and decision support. The focus is on helping teams move faster without a major system overhaul.

About the Role

We’re hiring a Senior AI Engineer, AI Solutions to help design, build, and deliver AI solutions on AWS. This is a hands-on role for an engineer who likes working across the full arc of a project: early experimentation, customer conversations, shipping, and improving things once they’re live. You’ll work closely with customers, product, and engineering to build AI-enabled products that solve real business problems. This role spans early experimentation, customer delivery, and production engineering. We’re looking for someone who can prototype quickly, learn from real customer use, and help mature the right ideas into reliable product capabilities. This is also a high-ownership role on a small US-based team. You should be comfortable operating with a fair amount of autonomy, making sound technical calls, and getting from a vague problem statement to a working system without needing a lot of structure around you.

Responsibilities

• Work with customers, product, and internal teams to understand business problems and turn them into useful AI applications
• Join customer-facing technical discussions, discovery sessions, demos, and solution design conversations
• Help shape pilots and proofs of concept, then decide what should be hardened into reusable product functionality
• Design, build, test, and maintain backend applications and AI workflows using Python and AWS
• Build and improve systems such as RAG pipelines, agentic workflows with tooling baked in, orchestration workflows, document-processing flows, and agent-backed application services
• Make thoughtful tradeoffs around performance, cost, reliability, and speed of delivery
• Contribute to architecture and design decisions with an eye toward systems that are modular, easy to extend, and practical to operate
• Prototype quickly, evaluate new tools and frameworks, and separate what is genuinely useful from what is just new
• Help define how we monitor, evaluate, and improve AI systems in production over time
• Work closely with offshore teams and collaborate effectively across time zones
• Take part in code reviews, design discussions, and technical planning, and help raise the bar on engineering quality across the team
• Write clear technical documentation for both internal teams and customer-facing use

Qualifications

• 4+ years of experience building production software systems
• Strong Python skills and experience building backend or cloud-native applications
• Hands-on experience building AI-enabled applications using LLMs, retrieval, automation, or orchestration patterns
• Experience working with AWS and building cloud-native applications and APIs
• Good software design instincts, especially around building systems that scale and don’t become painful to maintain
• Experience shipping production-quality software with solid testing, debugging, and code review habits
• Familiarity with modern data platform concepts such as ingestion pipelines, metadata, governance, access controls, and working with structured, semi-structured and unstructured data at scale
• Ability to move between quick prototyping and production work without losing sight of what matters
• Strong communication skills and comfort working directly with customers to gather feedback, clarify requirements, and turn those into implementation plans
• Comfort working in a fast-moving environment with a lot of ownership and some ambiguity
• Experience collaborating with distributed teams across time zones

Preferred Skills

• Experience with AWS services such as Bedrock, OpenSearch, Lambda, ECS/Fargate, DynamoDB, S3, EventBridge, Athena, Redshift, Glue and/or Step Functions
• Experience with RAG systems, document AI, agentic workflows, or intelligent automation use cases
• Experience working in regulated, enterprise, or public sector environments
• Experience with modern AWS-native AI tooling and patterns such as Claude on Amazon Bedrock, Amazon Bedrock AgentCore, MCP-based tool integration, Guardrails, Knowledge Bases, and vector search, along with practical experience in agentic workflows, retrieval, and production AI evaluation.
• Experience turning customer-specific builds into reusable internal platforms or product features
• Based in the Bay Area, or open to occasional in-person collaboration there

Work Location

• United States, fully remote
• Bay Area preferred for occasional in-person collaboration
• Open to travel for customer-facing work as needed
• Comfortable spending 5–10 hours per week overlapping with offshore teams

Pay range and compensation package

We offer competitive compensation commensurate with experience. We also believe in supporting people well, both professionally and personally. Benefits and perks include:

• Competitive compensation
• Health, life, and disability insurance
• A fully remote work environment within the US
• Flexible working hours to support collaboration and personal commitments
• Paid time off and leave policies designed to help you recharge when needed
• Opportunities to work on cutting-edge AI, data, and automation problems
• Access to learning and development resources, including certifications and training
• A collaborative, high-trust environment where strong ideas and strong execution both