> Markdown version of [/jobs/ext/656684-sr-ai-engineer](https://www.wearedevelopers.com/jobs/ext/656684-sr-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI Engineer - **Company:** PSKW LLC dba ConnectiveRx LLC - **Location:** Pittsburgh, PA, United States - **Experience:** Expert - **Salary:** $139,700.0 - **Contract:** Permanent contract - **Skills:** Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Unit Testing, Microsoft Azure, Cloud Computing, Code Review, Information Systems, Databases, Data Stores, Cursor (Graphical User Interface Elements), Iterative and Incremental Development, Python (Programming Language), Object-Oriented Software Development, Systems Development Life Cycle, Next.js, Software Engineering, Systems Integration, Strategies of Testing, Data Logging, GitHub Copilot, ReactJS, Delivery Pipeline, Event Driven Architecture, Information Technology, Low Latency, Graphql, Front End Software Development, Event Sourcing, Cloudwatch, Api Gateway, Amazon Simple Queue Service (SQS), Webhooks - **Published:** June 26, 2026 - **Apply:** https://www.juju.com/job/00000000gb4tas ## About the Role + Bachelors or Masters degree in computer science, information systems or related field + 3-5+ years' experience working with AI technologies + Experience building AI automations or agentic applications that can plan, call tools/APIs, and execute multi-step tasks with human-in-the-loop controls when needed + Experience with cloud technologies; particularly AWS services used to operationalize automation and agent workflows (e.g., Bedrock, Lambda, Step Functions, SQS/SNS, API Gateway) and related observability practices + Experience with frontend frameworks such as Next.js or React + Experience with relational and document databases; familiarity with event streams/queues and data stores commonly used in automation pipelines (vector databases a plus, where applicable) + Prior exposure to or interest in healthcare technology and its applications in improving patient care and outcomes. Knowledge + Proficiency in Python (and/or similar languages) for building services, workflow automations, and reliable integrations; strong software engineering fundamental. + Extensive experience using modern development environments and AI-driven coding tools such as Cursor, GitHub Copilot, or Q developer + Significant experience designing, implementing, and operating agentic workflows (planning, tool/function calling, memory/state, retries, and human-in-the-loop) + Understanding of autonomous AI systems capable of interacting with their environment, making decisions, and performing tasks safely to achieve specific objectives (including guardrails and auditability) + Experience integrating agents with enterprise systems and tools (APIs, data sources, ticketing/work management, knowledge bases) and implementing evaluation/monitoring for quality, latency, and cost + Exposure to object-oriented programming languages, databases, and multi-tier application development Skills + Workflow automation and orchestration skills (e.g., AWS Step Functions, Lambda, EventBridge, SQS/SNS; designing reliable multi-step processes with state, retry, idempotency, scheduling, and human-in-the-loop approvals) + Nice to have: event-driven architecture experience, including designing with events/queues and asynchronous workflows; familiarity with event sourcing patterns and designing for replay/idempotency (e.g., AWS EventBridge, SNS/SQS) + Strong systems integration skills (REST/GraphQL APIs, webhooks, queues, service-to-service auth) and ability to build tool/function interfaces that agents can safely use (e.g., Amazon Bedrock tool use / agents, Bedrock AgentCore patterns; Jira/Confluence integrations and MCP-style tool adapters) + Operational excellence for automation: testing strategies, automated evaluation, monitoring/alerting, logging/tracing, and cost/latency management (e.g., Azure DevOps for CI/CD pipelines; AWS CloudWatch for logs, traces, alarms, and dashboards) + Clear communicator and collaborator : can translate business processes into automation requirements and partner with product/ops/security through delivery. Competencies + Strong communication skills; ability to communicate complex concepts to both technical and non-technical team members + Strong problem-solving skills; ability to design and implement complex technical solutions + Strong data skills, including ability to process and manipulate datasets ## Description The Senior AI Software Engineer is an engineering role responsible for designing and implementing AI solutions within ConnectiveRx's technology group. This person will embed in agile teams at ConnectiveRx to complete specific projects across a potentially wide set of AI and full stack development technologies. The role will also be an AI advocate for CRx and help educate other engineers on leveraging AI in development and building AI solutions. Responsibilities + Develop new AI modules for both internal systems and market-facing software products + Contribute to patterns and system designs, write code, and participate in code reviews + Contribute to the CRx platform by suggesting and implementing AI-based enhancements to existing frameworks, tools, and processes + Act as an internal AI advocate, providing training and mentorship to software engineers on AI technologies and methodologies + Work closely with senior engineers to understand and work on assigned projects + Participate in the full SDLC, including design sessions, project estimation, iterative development, and unit testing ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)