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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Software Engineer - **Company:** Morgan Stanley - **Location:** Alpharetta, GA, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Microsoft Azure, Computer Engineering, Continuous Integration, DevOps, Middleware, Python (Programming Language), Node.Js, OAuth, Sourcetree, Prometheus, Software Safety, Security Assertion Markup Language (SAML), Subversion, AWS Cdk, Data Logging, Enterprise Software Applications, ReactJS, Large Language Models, Grafana, Prompt Engineering, AngularJS, Kubernetes, Information Technology, HuggingFace, Bitbucket, Graphql, NestJS, Restful APIs, Terraform, Atlassian Bamboo, Docker, Jenkins - **Published:** August 6, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/director-software-engineer-alpharetta-ga-usa-58813319 ## About the Role user for LLM usage * Stay updated on AI/NLP/ML advances to improve integration strategies * Design GenAI agents capable of reasoning and executing actions across internal APIs and tools * Create structured prompts, templates, and reusable prompt-engineering frameworks * Build and maintain tool registries for GenAI agents to securely access data sources * Implement observability, tracing, and structured logging for GenAI workloads * Develop rapid PoCs to validate ideas and scale successful prototypes * Participate in Agile ceremonies and conduct code/design/prompts reviews Tasks * Bachelor's in Computer Engineering, Computer Science, or related field * 5 years of experience in roles such as Full Stack Developer, Software Engineer, or AI Engineer * 5 years of experience with Python, Java, JavaScript; RESTful and GraphQL APIs; Node.js and Nest.js; Angular and React; DevOps, CI/CD with Jenkins, Bamboo, Docker; JIRA/Confluence/Bitbucket/SVN/SourceTree * 2 years of experience with AWS aaaaaC _ AWS Gateway API, AWS SDK, AWS CDK; LLM APIs (OpenAI, Azure OpenAI, Hugging Face); prompt-engineering frameworks (LangChain, LlamaIndex, Semantic Kernel); model fine-tuning and embeddings; secure tool registries; observability tools (TruLens, W&B); OAuth2, SAML; Kubernetes Helm; Terraform; Prometheus, Grafana; AI safety and compliance practices Key requirements * telecommuting up to 2 days per week * comprehensive employee benefits * opportunity for cross-business mobility * inclusive culture * career development opportunities ## Description Experteer Overview In this role you lead the integration of GenAI and LLMs into enterprise applications, building scalable pipelines and secure interfaces. You'll work with product managers, data scientists, and engineers to deliver production-grade AI solutions, while advancing observability and compliance. The position blends hands-on engineering with cross-functional collaboration to enable AI-powered capabilities across the firm. You'll drive rapid PoCs to production and shape GenAI strategy within a global financial services context. Compensation / Benefits * Integrate LLMs into existing applications to enhance user experience and design end-to-end GenAI pipelines * Develop APIs and middleware for seamless LLM interaction with enterprise systems * Collaborate with product managers, data scientists, and engineers to define requirements and deliver solutions * Monitor, analyze, and fine-tune LLM performance using metrics and user feedback * Implement security and data privacy practices for LLM usage * Stay updated on AI/NLP/ML advances to improve integration strategies * Design GenAI agents capable of reasoning and executing actions across internal APIs and tools * Create structured prompts, templates, and reusable prompt-engineering frameworks * Build and maintain tool registries for GenAI agents to securely access data sources * Implement observability, tracing, and structured logging for GenAI workloads * Develop rapid PoCs to validate ideas and scale successful prototypes * Participate in Agile ceremonies and conduct code/design/prompts reviews Tasks * Bachelor's in Computer Engineering, Computer Science, or related field * 5 years of experience in roles such as Full Stack Developer, Software Engineer, or AI Engineer * 5 years of experience with Python, Java, JavaScript; RESTful and GraphQL APIs; Node.js and Nest.js; Angular and React; DevOps, CI/CD with Jenkins, Bamboo, Docker; JIRA/Confluence/Bitbucket/SVN/SourceTree * 2 years of experience with AWS Lambda, AWS Gateway API, AWS SDK, AWS CDK; LLM APIs (OpenAI, Azure OpenAI, Hugging Face); prompt-engineering frameworks (LangChain, LlamaIndex, Semantic Kernel); model fine-tuning and embeddings; secure tool registries; observability tools (TruLens, W&B); OAuth2, SAML; Kubernetes Helm; Terraform; Prometheus, Grafana; AI safety and compliance practices Key requirements * telecommuting up to 2 days per week * comprehensive employee benefits * opportunity for cross-business mobility * inclusive culture * career development opportunities ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)