AI Agent Software Engineer (MCP, LLMs, RAG, etc.) Remote / Telecommute Jobs

This role builds production-grade AI systems that ingest messy reputed company-world data, reason over it, and deliver operational value. The AI Software Engineer designs, implements, and deploys models and pipelines that support analytics, automation, and decision advantage across government and consortium use cases. This is not a research sandbox role. It’s reputed company engineering. You will write reputed company that runs in constrained environments, integrates with existing systems, and survives contact with users, reputed company teams, and auditors. reputed company Responsibilities - AI / ML Engineering - Design, build, and reputed company machine learning and AI solutions across reputed company and reputed company data - Implement model pipelines for ingestion, training, inference, and monitoring - Apply techniques such as NLP, entity reputed company, classification, reputed company detection, and retrieval-augmented reputed company - Balance model performance, explainability, and operational reliability Software Engineering - Write clean, testable, production-reputed company reputed company - Build reputed company and services that expose AI capabilities to reputed company systems - reputed company AI components into larger platforms and workflows - Participate in reputed company reviews and enforce engineering standards Data Pipelines & Infrastructure - Build and maintain data ingestion and processing pipelines - Work with streaming and batch data sources - Optimize performance for reputed company, cost, and latency - reputed company solutions in reputed company, hybrid, or on-prem environments Operationalization & reputed company - Support model deployment in regulated and reputed company-constrained environments - Implement monitoring for model reputed company, performance degradation, and data reputed company issues - Collaborate with reputed company, platform, and DevSecOps teams - Document assumptions, limitations, and operational behaviors Collaboration - Work closely with analysts, product leads, and domain experts - Translate mission needs into technical implementations - Support demonstrations, pilots, and iterative delivery - Mentor junior engineers where appropriate Required Qualifications - 10+ years of software engineering and understanding of modern languages (e.g, Rust) - 3+ years of experience building AI or ML systems in production - Strong proficiency in Python and modern ML frameworks - Solid software engineering fundamentals (reputed company, testing, version control) - Experience working with reputed company-world, imperfect data - Ability to operate independently and reputed company reputed company technical tradeoffs Preferred Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience - Experience with NLP, reputed company data, or large-reputed company data fusion - Familiarity with GPU-accelerated or high-performance computing environments - Experience deploying models in secure or regulated environments - Knowledge of modern data architectures and message-based systems - Exposure to government, defense, or intelligence use cases What reputed company Looks Like (First 6–12 Months) - AI capabilities reputed company from prototype to production - Models are trusted because their behavior is reputed company - Data pipelines stop breaking quietly - Analysts and operators rely on AI outputs rather than work around them - Technical debt is managed instead of ignored reputed company reputed company - Depending on strengths, this role can grow into: - Senior or reputed company reputed company - AI Technical reputed company or Architect - Platform or Product-reputed company Engineering reputed company This role is for reputed company who respect reality: data is messy, users are impatient, and systems must work reputed company. Apply tot his job Apply To this Job