> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # AI Engineer Canonical URL: https://nextmove.md/fde/jobs/3ddbc0a39d5b34ab Particle41 posts a FDE role to build what the customer runs in US, at From $800,000 base. Develops and deploys AI/ML solutions from data ingestion through production monitoring, including generative AI, RAG, and agentic workflows. Read from the employer’s posting on November 8, 2026. - [Particle41](https://nextmove.md/fde/companies/particle41) Posted Jun 26, 2026 by Particle41 · open on Greenhouse as of Nov 8, 2026 **From $800,000** *annualized* US Remote Develops and deploys AI/ML solutions from data ingestion through production monitoring, including generative AI, RAG, and agentic workflows. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F3ddbc0a39d5b34ab&placement=top) - [View posting at Particle41](https://job-boards.greenhouse.io/particle41llc/jobs/5284201008) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay From $800,000 Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **3+ years** AI/ML model development and deployment ### Do you meet what the posting states? The posting asks for 3+ years. How many do you have? The posting reads as a senior role. What level are you at now? The work is remote from the US. Can you work from the US? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: US - **Work arrangement**: Remote - **Pay**: ## More like this [Striveworks](https://nextmove.md/fde/companies/striveworks) ### [Senior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)](https://nextmove.md/fde/jobs/ee6dd71d9378887b) Austin, TX Remote 4w ago $185,000–$230,000 [Rackspace](https://nextmove.md/fde/companies/rackspace) ### [Senior Forward Deployed Engineer – Palantir Certified](https://nextmove.md/fde/jobs/b36f0526cf1bf6ca) US Remote 2w ago $165,830–$243,142 [Brillio](https://nextmove.md/fde/companies/brillio) ### [Consultant - R01573317](https://nextmove.md/fde/jobs/0e9aa7e579d755ab) Saint Louis, MO Remote New · 6d ago Pay not posted ## The job description from Particle41 Posted by Particle41 on Jun 26, 2026 ### AI Engineer ### Role Overview As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively. ### In This Role, You Will - Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring. - Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. - Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks. - Develop and integrate AI models into production systems (APIs, microservices, cloud deployments). - Optimize models/solutions for performance, scalability, robustness and cost-efficiency. - Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation. - Document model design, experiments, data provenance and solution rationale. - Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas. - Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results. ### Skills and Experience We Value - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. - 3+ years of hands-on experience in AI/ML model development and deployment. - Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph). - Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows. - Experience building or fine-tuning Large Language Models (LLMs). - Experience deploying models into production: building REST APIs, microservices and monitoring. - Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc. - Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI. - Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker). - Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models). - Ability to work in a fast-paced, dynamic environment and adapt to changing priorities. - Publications, open-source contributions, or personal projects in the AI/ML domain ### About Particle41 Our core values of **Empowering, Leadership, Innovation, Teamwork,** and ** Excellence **drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE ) **E - Empowering: Enabling individuals to reach their full potential. ** **L - Leadership: Taking initiative and guiding each other toward success. ** **I - Innovation: Embracing creativity and new ideas to stay ahead. ** **T - Teamwork: Collaborating with empathy to achieve common goals. ** **E - Excellence: Striving for the highest quality in everything we do.** We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com. [View posting at Particle41](https://job-boards.greenhouse.io/particle41llc/jobs/5284201008) ## About Particle41 Particle41 embeds senior engineering teams with clients to deliver advisory, software, DevOps, data, and AI work using AI-assisted delivery. 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