> Markdown version of [/jobs/ext/2988795-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2988795-ai-ml-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). --- # AI/ML Engineer - **Company:** Findem, Inc. - **Location:** United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Automation of Tests, Cloud Engineering, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Cloud Services, Azure Machine Learning, Software Engineering, Systems Integration, Enterprise Software Applications, Spring Cloud, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Kubernetes, Virtual Agents, Api Gateway, Devsecops, Microservices - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/6b95ffc0-6273-4ca5-93b0-0350e540cfa1 ## About the Role We are looking for an experienced AI/ML Engineer / Agentic AI Developer to join a team building next-generation AI-powered solutions. The ideal candidate will have hands-on experience developing AI/ML or Agentic AI solutions, combined with strong software development skills in Python and/or Java and extensive experience with AWS cloud services. The role will focus on designing and developing intelligent, AI-driven applications using modern agentic frameworks, GenAI tools, and enterprise cloud technologies., * Hands-on experience building Agentic AI / AI/ML solutions in a production or enterprise environment. * Strong development experience with Python and/or Java. * Strong hands-on experience with AWS cloud services and cloud-native application development. * Experience with LangGraph for building agentic workflows. * Experience with MCP (Model Context Protocol) and AI tool integrations. * Strong understanding of Generative AI / LLM technologies. * Experience with Prompt Engineering and LLM application development. * Strong understanding of software development, APIs, microservices, and application architecture. * Experience building and maintaining CI/CD pipelines. * Ability to work in an enterprise development environment and collaborate across technical teams., * Experience with multi-agent architectures and AI orchestration. * Experience integrating LLMs with enterprise data sources, APIs, and external tools. * Knowledge of AWS AI/ML services such as Amazon Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, and related services. * Experience with containers and Kubernetes. * Familiarity with observability, automated testing, and DevSecOps practices. * Experience taking GenAI/Agentic AI prototypes into production-scale applications. Core Technical Skills AI / GenAI: Agentic AI, AI/ML, LLMs, Generative AI, Prompt Engineering Agent Frameworks: LangGraph, MCP, GenAI Tools Programming: Python, Java Cloud: AWS DevOps: CI/CD Architecture: APIs, Microservices, Cloud-Native Applications, The ideal candidate is a hands-on software engineer with strong AI/ML and GenAI experience, rather than someone focused solely on research or data science. They should have demonstrated experience building and deploying agentic AI solutions, strong Python/Java development capabilities, and significant AWS experience. ## Description * Design, develop, and deploy Agentic AI/ML solutions for enterprise applications. * Build AI agents and multi-agent workflows using LangGraph and related frameworks. * Develop and integrate Model Context Protocol (MCP)-based tools and services. * Leverage Generative AI tools, LLMs, and APIs to build intelligent applications. * Apply prompt engineering techniques to improve model performance, reliability, and response quality. * Develop scalable backend services and APIs using Python and Java. * Integrate AI/ML capabilities with existing enterprise applications and cloud platforms. * Design and implement solutions leveraging AWS services and cloud-native architectures. * Develop automated CI/CD pipelines for building, testing, and deploying AI/ML applications. * Collaborate with architects, developers, data scientists, and product teams to deliver production-ready AI solutions. * Implement appropriate monitoring, testing, security, and operational practices for AI-enabled applications. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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)