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# Solution Engineer

- **Company:** MATTER & ENERGY LLC
- **Location:** Reston, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Microsoft Windows, Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Microsoft Azure, Cloud Computing, Information Systems, Databases, Continuous Integration, Information Engineering, Data Security, Programming Tools, Python (Programming Language), PostgreSQL, Software Architecture, OpenAI, Salesforce.Com, Search Technologies, Microsoft SharePoint, Software Engineering, Systems Integration, Pinecone, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Llamaindex, Generative AI, Backend, Agentic-AI, Git, Pgvector, Kubernetes, Information Technology, Weaviate, Machine Learning Operations, Evaluation of Large Language Models, Restful APIs, Semantic Kernel, Serverless Computing, Docker, ChromaDB, Servicenow
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/c2401186-3d7d-436f-a65e-976227f89ef9/solution-engineer

## About the Role

The ideal candidate combines strong software engineering skills with hands-on experience in generative AI, large language models (LLMs), and enterprise system integration. You should be comfortable independently leading technical implementations, navigating complex client environments, and turning emerging AI capabilities into reliable, production-ready solutions., * Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
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 * 5+ years of relevant experience in software engineering, solution engineering, technical consulting, or enterprise application development.
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 * Hands-on experience developing and implementing AI-powered applications using large language models (LLMs) or generative AI technologies.
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 * Proven ability to independently lead technical implementations, including solution design, development, integration, testing, and deployment.
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 * Strong proficiency in Python and experience developing production-quality software.
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 * Experience working with LLM APIs and AI development frameworks, such as OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, or equivalent technologies.
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 * Practical experience building RAG solutions, including document processing, embeddings, vector databases, and semantic search.
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 * Experience designing and integrating REST APIs, backend services, databases, and enterprise applications.
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 * Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
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 * Understanding of software architecture, data engineering, and modern application development practices.
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 * Experience with Git, automated testing, CI/CD, and deployment workflows.
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 * Strong analytical, troubleshooting, and problem-solving skills.
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 * Ability to independently evaluate technical options, make implementation decisions, and manage technical workstreams with minimal supervision.
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 * Strong client-facing communication skills and experience translating business requirements into technical solutions.
\n, * Experience developing AI agents, multi-agent workflows, or agentic automation solutions.
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 * Familiarity with AI orchestration frameworks and agent development tools, such as LangGraph, Semantic Kernel, or similar technologies.
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 * Experience with vector databases such as Pinecone, Weaviate, Chroma, or PostgreSQL with pgvector.
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 * Experience deploying AI applications using containers, Docker, Kubernetes, or serverless cloud infrastructure.
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 * Familiarity with LLM evaluation, observability, monitoring, and LLMOps/MLOps practices.
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 * Experience implementing AI security controls, governance frameworks, and responsible AI practices.
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 * Knowledge of enterprise authentication, authorization, and secure data integration patterns.
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 * Experience integrating AI solutions with enterprise platforms such as Microsoft 365, SharePoint, ServiceNow, Salesforce, or similar systems.
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 * Experience with workflow automation and business process optimization.
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 * Experience delivering AI solutions in a consulting or professional services environment.
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 * Experience supporting U.S. federal government clients or working in regulated environments.
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 * Familiarity with government AI security, privacy, and compliance requirements.
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## Description

In this role, you will take ownership of end-to-end technical implementations, from discovery and solution architecture through development, integration, testing, and deployment. You will work directly with clients to identify AI use cases, evaluate technical feasibility, and translate business requirements into practical, scalable solutions.