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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Software Engineers - Agentic AI - **Company:** Insight Global - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $156,000.0 - $176,800.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, Unit Testing, C Sharp (Programming Language), Cloud Engineering, Code Review, Data as a Services, Distributed Systems, Amazon DynamoDB, Elasticsearch, Python (Programming Language), PostgreSQL, Machine Learning, Scrum Methodology, Redis, Search Technologies, Software Engineering, Systems Integration, Spring Cloud, GitHub Copilot, Pytorch, Large Language Models, Generative AI, Backend, Git, AngularJS, Integration Tests, Information Technology, Machine Learning Operations, Virtual Agents, Restful APIs, Docker - **Published:** August 7, 2026 - **Apply:** https://dejobs.org/x/x/4CD7981009D947D1BC0A4424F2D29FDE/job/ ## About the Role * 8-15+ years software engineering (fullstack, emphasis backend Python, .NET etc) delivering production-grade solutions. * 6-7+ years of hands-on Python backend development experience. * BS (or higher) in Computer Science, Engineering, or related field. * Strong experience with REST APIs, distributed systems, and modern software engineering practices. * AWS-first background with hands-on experience designing and developing cloud-native applications. * Experience with AWS services such as Bedrock, Agent Core, Lambda, ECS/EKS, OpenSearch, DynamoDB, and S3. * 2+ years of hands-on AI engineering experience using LLM platforms such as OpenAI, Anthropic, Bedrock, Gemini, or similar. * Experience implementing Retrieval-Augmented Generation (RAG), embeddings, semantic search (LangChain, LangFlow, PyTorch) * Vector databases and semantic search technology experience (OpenSearch, Pinecone, ChromaDB, FAISS, Redis Vector, and pgvector/PostgreSQL, ElasticSearch, Weaviate, Qdrant, Milvus, etc) * Strong understanding of deterministic vs. probabilistic systems and when AI should or should not be used. * Experience designing and implementing end-to-end AI application architectures. * Experience with CI/CD pipelines, Git-based development, and Agile delivery practices. - AWS AgentCore * AWS Certified Generative AI Developer - Professional (most relevant); AWS Certified AI Practitioner (AIF-C01), AWS Certified Machine Learning Engineer - Associate ; AWS Solutions Architect Associate/Professional * Experience building agentic AI solutions using LangGraph, CrewAI, Semantic Kernel, Bedrock Agents, or similar frameworks. MLOps and model deployment experience using MLflow, Docker, and cloud-native deployment patterns. * Legal, financial, or professional services industry experience. * Experience mentoring developers and leading technical architecture decisions. ## Description * Design, develop, enhance, and maintain cloud-native software applications using Python (.NET/C#, Angular), AWS services, and modern software engineering practices. * Architect, build, and deploy AI-enabled applications leveraging LLMs, RAG patterns, semantic search, vector databases, and agentic workflows. * Design and implement REST APIs, integrations, data services, and backend systems aligned with business objectives. * Analyze business problems and determine when traditional deterministic software approaches versus AI-based solutions are appropriate. * Collaborate with Product Owners, QA Engineers, and fellow developers to deliver secure, scalable, maintainable software solutions. * Participate in Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives. * Produce high-quality, well-documented, maintainable code following engineering and security best practices. * Perform code reviews, unit testing, integration testing, defect resolution, and production support. * Utilize AI-assisted development tools such as GitHub Copilot and Claude Code to improve delivery velocity and engineering effectiveness. * Contribute to continuous improvement of engineering practices, AI development standards, delivery processes, and team collaboration. ## Related Videos - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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)