• The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team. The key duties are: • Design, deliver and scale GenAI solutions • Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency • Working with Data Science teams to implement AI Agents and Machine Learning models into production • Design, delivery and management of industrialized processing pipelines • Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices • Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations • Defining and implementing best practices in ML models life cycle and ML operations/LLM operations • Gathering technical requirements & estimating planned work • Presenting solutions, concepts and results to internal and external clients • Creating technical documentation

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Unstructured, we are obsessed with transforming messy, unstructured data into a format that LLMs can actually use. Our Public Sector team has recently secured several high-impact contracts that demand more than just "off-the-shelf" solutions. We are looking for an AI Engineer who thrives at the intersection of R&D and production-grade software engineering. You won’t just be building notebook demos; you will be architecting, prototyping, and shipping novel multimodal data processing, RAG, and agentic systems that solve critical problems for Government and Military clients. Your work will bridge the gap between one-off custom builds and a repeatable, scalable product roadmap. What You’ll Do Day-to-Day - 50% Building & Shipping: Design and implement production-grade RAG pipelines and agentic workflows using Python. You’ll build systems that handle real-world "messy" data (PDFs, scanned docs, images, full motion video) and ensure they are performant and scalable. - 30% Research & Experimentation: Stay at the bleeding edge. You’ll evaluate new models (LLMs, embedding models, object detection), prototype approaches for SBIR/government deliverables, and run experiments to prove what actually works. - 20% Strategy & Collaboration: Partner with the team to document architectures, contribute to technical reports for contract deliverables, and participate in pre-sales calls to architect solutions for complex client needs. Qualifications - Systems-First Engineering: You prioritize building reliable, scalable systems over experimental scripts. You have a track record of moving AI models out of notebooks and into production environments where latency, cost, and accuracy are treated as first-class citizens. - Technical Resourcefulness: You are comfortable working in restricted or air-gapped environments. When commercial APIs aren’t an option, you have the expertise to deploy, fine-tune, and optimize open-source models to achieve the mission objective. - Autonomous Problem Solving: You can take a high-level government requirement and translate it into a technical roadmap. You don't require constant oversight to identify the right tool for a job, whether it’s a specific vector database or a custom multimodal pipeline. - A "Generalist" Mindset: While you specialize in AI, you understand the full stack. You are as comfortable discussing embedding strategies as you are configuring AWS GovCloud infrastructure or debugging a FastAPI endpoint. Requirements - Proven experience deploying Production RAG pipelines against real-world, messy datasets. - Deep expertise in Agentic system design (tool-use, multi-agent orchestration). - Strong Python engineering skills—writing clean, scalable, and maintainable code. - Experience operating within AWS/GovCloud environments. Nice-to-Haves - Experience fine-tuning NLP or object detection models. - Familiarity with LLM evaluation frameworks (hallucination detection, drift monitoring). - Knowledge of government security standards and working in different classification environments and on-prem. - Security Clearance: Existing Secret/TS clearance or eligibility is a significant plus. Your Technical Toolkit - Languages: Python (expert-level), SQL - LLM & Agentic Frameworks: LangChain, LangGraph, CrewAI, or similar orchestration frameworks - RAG Stack: Retrieval with vector databases (Pinecone, Weaviate, Chroma, pgvector), graph databases (Neo4J), Elasticsearch, BM25, and Sentence-Transformers; NLP enrichment with spaCy, GLiNER, and Transformers; optimization using embedding models, reranking pipelines, and DSPy - Evaluation & Observability: RAGAS, DeepEval, Arize Phoenix, and synthetic annotations - Cloud & Infrastructure: AWS, SageMaker, Bedrock, S3, Lambda, Docker, and FastAPI - Data Processing: Complex pipelines for unstructured and multimodal data, including PDFs, scanned documents, images, and audio. Benefits - Opportunity to work on a dynamic team and work on cutting-edge machine learning projects. - Collaborative and innovative work environment with a focus on learning and growth. - Impactful role in shaping the company's direction and driving innovation in unstructured data processing. - Competitive compensation package, including benefits and stock options.

Role Description We are seeking a highly analytical and process-driven AI Automation Specialist to design, build, and maintain intelligent automation solutions that streamline business operations and significantly reduce manual effort. This role focuses on leveraging AI models, automation platforms, and system integrations to improve efficiency across multiple business functions. The ideal candidate is technically curious, highly organized, and skilled at translating business requirements into scalable, AI-powered workflows that deliver measurable operational impact. Responsibilities - Process Analysis & Automation Design: - Analyze existing business processes and identify opportunities for AI-driven automation. - Design intelligent workflows that reduce manual tasks and improve operational efficiency. - Translate business needs into scalable automation solutions. - AI & Workflow Automation Development: - Build, deploy, and maintain automation workflows using tools such as Zapier, Make, n8n, or Power Automate. - Integrate AI models (e.g., ChatGPT, Claude, Gemini) into operational workflows. - Automate processes across data entry, reporting, customer support, HR, marketing, and operations. - System Integrations & Technical Execution: - Connect systems using APIs, webhooks, and third-party integrations. - Ensure seamless data flow between tools and platforms. - Troubleshoot automation errors and resolve workflow failures efficiently. - Optimization & Performance Monitoring: - Monitor automation performance to ensure reliability and accuracy. - Optimize workflows for speed, scalability, and long-term maintainability. - Continuously improve automation logic based on performance data and business feedback. - Documentation & Collaboration: - Maintain clear and detailed documentation for all automation workflows and logic. - Collaborate closely with stakeholders to gather requirements and propose effective automation solutions. - Provide visibility and clarity across teams on automated processes and outcomes. Qualifications - A process-oriented problem solver with a passion for automation and efficiency. - Comfortable working with both technical systems and non-technical stakeholders. - Curious, adaptable, and motivated to stay current with evolving AI and automation tools. - Highly organized with strong documentation and execution discipline. - Able to work independently in a remote, fast-paced environment. Requirements - Proven experience in automation, workflow design, or process optimization. - Hands-on experience with no-code / low-code automation tools (Zapier, Make, n8n, Power Automate). - Experience working with AI tools and APIs (OpenAI, Anthropic, Google AI, or similar). - Basic understanding of APIs, webhooks, and data structures. - Strong analytical and problem-solving skills. - Excellent communication and documentation skills. - Reliable high-speed internet with audio and video capabilities. - Fast, reliable computer suitable for professional business use. Tools Provided - Google Workspace - Automation Platforms (Zapier, Make, n8n, or equivalent) - AI Tools & APIs - Project Management Tools (e.g., Asana, ClickUp) - Slack Ideal Experience & Skills - Experience with Python or JavaScript. - Familiarity with databases and tools such as Google Sheets, Airtable, or Notion. - Experience working with CRM or project management tools (HubSpot, Salesforce, ClickUp, Monday.com). - Knowledge of prompt engineering and AI workflow optimization. - Experience with RPA tools (UiPath, Automation Anywhere). What Does a Typical Day Look Like? An AI Automation Specialist’s day is focused on improving efficiency through intelligent workflows. You will: - Review existing processes and identify new automation opportunities. - Build and test AI-powered automation workflows. - Integrate systems and troubleshoot automation issues. - Monitor workflow performance and optimize logic. - Document automation processes and updates. - Collaborate with stakeholders to align solutions with business needs. Key Metrics for Success (KPIs) - Number of manual processes successfully automated. - Reliability and uptime of automation workflows. - Reduction in time spent on manual operational tasks. - Accuracy and scalability of automation solutions. - Quality and clarity of automation documentation. Interview Process - Initial Phone Screen - Video Interview with Pavago Recruiter - Practical Assessment (e.g., automation or workflow scenario) - Client Interview - Offer & Onboarding

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a hands-on AI Workflow & Automation Engineer to design, build, and deploy internal tools that automate and enhance our survey research workflows using AI. The goal is to reduce manual processing time, improve consistency, and enable our analysts to focus on strategic insight and client impact. This is a temporary, project-based consulting engagement focused on delivering a defined set of internal automation tools in an exciting election year. This is a high-impact, execution-focused opportunity for a strong engineer who can quickly translate research processes into reliable, maintainable systems. This role is focused on building working tools — not just experimenting with AI. This is a new (temporary) role that is expected to support the team through the end of 2026. Responsibilities - AI-Powered Workflow Development: Design and implement production-ready tools that integrate LLMs and other automation techniques into research workflows. - Software Engineering & Architecture: Write modular, testable, maintainable Python code grounded in strong engineering principles. - Data Processing & Automation: Build reproducible pipelines that transform raw data into structured, analysis-ready outputs, with validation and logging built in. - APIs & System Integration: Develop services and integrations that connect survey platforms, databases, and AI components. - Model Evaluation & QA: Implement structured testing and evaluation frameworks to validate automated outputs and preserve methodological rigor. - Internal Tooling: Build lightweight tools or interfaces that enable researchers to interact seamlessly with automated systems. Qualifications - Required: - Strong programming skills in Python (required) - Experience building automated workflows, data pipelines, or internal tools - Experience integrating LLM APIs or similar AI systems into production workflows - Understanding of APIs and system integrations - Experience working with structured and unstructured data - Ability to design clean, maintainable systems (not just scripts) - Clear communicator who can collaborate effectively with non-technical teams - Preferred: - Experience with survey data, polling, or quantitative research workflows - UI/UX/front end design or implementation experience - SQL and database experience (e.g., Redshift, Postgres, BigQuery, Snowflake) - Familiarity with Git/version control - Experience building evaluation frameworks for AI systems - Experience in political polling or public opinion research Requirements - The base salary for this position is between $10,000 to $15,000 per month commensurate with experience. Benefits - GSG provides a comprehensive benefits package including excellent coverage for medical, vision, and dental insurance. Company Description Global Strategy Group (GSG) is a leading public opinion research and communications firm working at the intersection of politics, policy, and public affairs. Our research team partners with campaigns, advocacy organizations, corporations, and foundations to generate actionable insights that shape strategy and win complex battles.