Mindmoves

Agentic Automation Consultant Location: Remote/US-based Contract Details: 40 hrs/week through June 2027 Rate: $80-100/hrAbout Mind MovesMind Moves is a women-owned Washington, D.C.-based firm helping businesses and governments to embrace, build and deploy ‘human in the loop’ Artificial Intelligence (AI) solutions to elevate mission and value. We are pioneers with deep expertise in the field of machine learning and AI. We have delivered responsibly developed products and services that impact millions of users worldwide, while generating millions of dollars in revenue. We have worked with Fortune 500 corporations and large government entities in health care, supply chain management, financial services and life sciences. We apply a structured methodology and holistic approach to AI transformation and a broad spectrum of technical services centered in the harnessing of people, science and technology.The RoleWe're looking for an Agent Automation Consultant to design, build, and deploy AI agents that automate Mind Moves' internal operations. This is not a role where you use AI to work faster - it's a role where you build AI that does the work and recursively improves.You'll take operational workflows - contractor onboarding, staff time allocation, subcontract reviews, market-rate research, process documentation, and more - and decompose them into agent architectures: skills, tools, evals, memory, and orchestration layers that run with minimal supervision and get better over time.We're a small team and you'll have real autonomy. Your job is to take Mind Moves from "AI-assisted operations" to "agent-operated operations".This is a fixed-term contract focused on standing up the foundational layer: identifying the highest-leverage workflows, building the first generation of agents, and leaving behind reusable infrastructure and documentation the team can build on.What You'll Do:<div> </div><ul><li>Build AI agents from scratch that autonomously run internal operations workflows, including but not limited to:</li><li>Staff time allocation and utilization tracking across multiple contracts/projects</li><li>Subcontractor agreement review and version control against active contracts</li><li>Onboarding for W-2 employees and 1099 contractors</li><li>Market-rate research, with a focus on government contracting benchmarks</li><li>Operational process documentation and compliance tracking</li><li>Business development bids, proposals and solicitation responses</li><li>Internal workflow instruction and technical documentation</li><li>Break workflows down into the components agents actually need: skills, tools, evals, guardrails, memory and feedback loops.</li><li>Build evaluation frameworks that measure agent quality, catch regressions and drive improvement without someone babysitting the system.</li><li>Design self-improving loops. Agents should monitor their own outputs, learn from outcomes, and get sharper over time. The bar: it works at 3am on a Sunday and is better by Monday.</li><li>Own everything from identifying which workflows to automate, to prototyping, to deployment, to monitoring and iteration.</li><li>Build reusable agent infrastructure, internal tooling and documentation so the rest of the Mind Moves team can operate and trust what you've built.</li><li>Stay plugged into the frontier of agentic AI - new model capabilities, tool-use patterns, multi-agent orchestration, MCP, evals frameworks - and bring what you learn into production fast.</li></ul>You'll Thrive If You<ul><li>Can mock up an MVP and then go build the thing. You scope what matters, why, and then ship it yourself.</li></ul><ul><li>Are extremely AI-pilled. You have strong opinions on tool-use vs. code-gen agents, when to use RAG vs. fine-tuning, and how to build evals that matter.</li><li>Think in systems and loops, not tasks and tickets. You want to design processes where agents trigger other agents, outputs become inputs, and the whole system compounds without someone pressing "run."</li><li>Have built and shipped agents in production — real systems that ran on their own, handled edge cases, and got better over time.</li><li>Know the difference between a cool demo and a reliable agent is evals, observability, structured outputs, error handling and constant iteration on failure modes.</li><li>Experiment fast and cheap. You validate agent architectures with quick tests before sinking time into production builds.</li><li>Are fluent across the modern AI stack without being religious about any of it.</li><li>Communicate clearly and own your work completely</li></ul>Nice to Haves<ul><li>Familiarity with government contracting workflows, FAR/DFARS compliance, or government-adjacent operational environments.</li></ul><ul><li>Familiarity with people-operations platforms (Gusto, Rippling, similar) and contractor/subcontract management.</li><li>Experience benchmarking or setting contract rates, particularly in government contracting.</li><li>You've built multi-agent systems with orchestration layers and inter-agent communication.</li><li>You've shipped internal tools or platforms that other teams actually adopted and relied on.</li></ul>Security: If selected, candidates will be required to complete a full background check.To apply: Applications accepted on a rolling basis and must be complete to be considered. There will be 2-3 interviews with an immediate start date.

Agentic Automation Consultant

About Mind MovesMind Moves is a women-owned Washington, D.C.-based firm helping businesses and governments to embrace, build and deploy ‘human in the loop’ AI solutions to elevate mission and value. We are pioneers with deep expertise in the field of machine learning and AI (both predictive and generative). We have delivered responsibly developed products and services that impact millions of users worldwide, while generating millions of dollars in revenue. We have worked with Fortune 500 corporations and large government entities in health care, supply chain management, financial services and life sciences. We apply a structured methodology and holistic approach to AI transformation and a broad spectrum of technical services centered in the harnessing of people, science and technology.What you’ll be doingDesigning and building synthetic data generation pipelines that produce high-fidelity, statistically representative datasets modeled on sensitive, controlled-access data sources — without exposing real participant-level information. Your synthetic datasets will let cross-functional teams prototype, test, and red-team AI/agentic systems against realistic data conditions before those systems ever touch production, controlled-access repositories.Working with Mind MovesYou’ll collaborate with the Principal Investigator/Technical Lead, Biomedical Privacy &amp; Gateway Engineer, Red-Team/Adversarial Security Lead, Cybersecurity Engineer, and the broader Mind Moves project team — while working closely with institutional stakeholders and Data Access Committees at NIH. This role offers the chance to:<ul><li>Make a measurable impact on how safely AI systems handling sensitive genomic and health data can be developed and tested.</li></ul><ul><li>Gain hands-on experience with privacy-preserving data generation for frontier AI/ML pipelines.</li></ul><ul><li>Operate at the intersection of data engineering, privacy, and federal data governance in a creative, mission-driven environment.</li></ul>The contract will include:<ul><li>Design and build synthetic data generation pipelines (statistical modeling, generative models, or agent-based simulation) that replicate the structure and statistical properties of controlled-access datasets</li></ul><ul><li>Generate realistic synthetic test/dev datasets (e.g., genomic sequence-style data modeled on dbGaP) to support prototyping, MVP development, and red-team testing without exposing real participant-level data</li></ul><ul><li>Apply and tune privacy-preserving techniques, including differential privacy noise injection, to bound re-identification and membership-inference risk</li></ul><ul><li>Validate synthetic data fidelity — statistical distribution matching, utility-preservation testing, and downstream model performance parity against real data benchmarks</li></ul><ul><li>Assess and document residual privacy risk (e.g., re-identification, linkage, membership inference) for each synthetic dataset release</li></ul><ul><li>Collaborate with the Red-Team/Adversarial Security Lead and Biomedical Privacy &amp; Gateway Engineer to supply adversarial and edge-case synthetic scenarios for testing</li></ul><ul><li>Contribute methodology documentation and data provenance records for review by institutional Data Access Committees (DACs)</li></ul><ul><li>Collaborate with cross-functional teams across federal agencies and supporting partners</li></ul>Contractor has the following skills/background:<ul><li>Demonstrated experience building synthetic data generation pipelines using statistical modeling, generative models (e.g., GANs, VAEs, diffusion), or agent-based simulation</li></ul><ul><li>Experience engineering and transforming large-scale genomic formats (e.g., multi-sample VCFs, PLINK binary sets, Hail MatrixTables) alongside complex, longitudinal clinical and phenotypic data.</li></ul><ul><li>Advanced proficiency in Python and SQL, with hands-on experience using synthetic data, privacy, and scientific libraries (e.g., Opacus, Diffprivlib, PyTorch, Hail, Polars, or Spark).</li></ul><ul><li>Data engineering and ETL skills — pipeline design, schema modeling, API integration</li></ul><ul><li>Knowledge of AI/data governance frameworks such as NIST AI RMF and federal (NIH/HHS) compliance requirements preferred</li></ul><ul><li>Background or experience in biomedical, bioinformatics, or life sciences preferred</li></ul><ul><li>Experience taking synthetic data pipelines from proof of concept through to production-grade, reusable tooling</li></ul><ul><li>Strong communication skills; ability to document methodology and risk assessments for non-technical and institutional stakeholders</li></ul><ul><li>U.S. work authorization for 1099 contracting; Mind Moves cannot offer sponsorship for this contract</li><li>Must be eligible to obtain and maintain a federal public trust credential / government badge.</li></ul>Proposal DetailsCompensation range: $100-130/hrEstimated contract duration: September - DecemberContract hours: 20-25 hours/weekWork locale: Remote in the US (EST time zone preferred)Read more about Mind Moves: <a target="_blank" rel="noopener noreferrer ugc" href="https://mindmoves.co/">https://mindmoves.co/</a>Timeline and ProcessProposals are accepted on a rolling basis until the position is filled. The contract bid process will include 3 interviews and the invitation to complete a technical exercise.Please note: incomplete applications will not be considered.

Bioinformatics Engineer

About Mind MovesMind Moves is a women-owned Washington, D.C.-based firm helping businesses and governments to embrace, build and deploy ‘human in the loop’ AI solutions to elevate mission and value. We are pioneers with deep expertise in the field of machine learning and AI (both predictive and generative). We have delivered responsibly developed products and services that impact millions of users worldwide, while generating millions of dollars in revenue. We have worked with Fortune 500 corporations and large government entities in health care, supply chain management, financial services and life sciences. We apply a structured methodology and holistic approach to AI transformation and a broad spectrum of technical services centered in the harnessing of people, science and technology.What you’ll be doingHelping to guide a group of cross-functional teams as they move their use cases from idea to shaping a use case to Minimum Viable Product (MVP). These teams will consist of various members from different institutes or centers of the National Institutes of Health and as such, propose use cases that are typically in the medical research or public health space, for internal or external audiences.Working with Mind MovesYou’ll collaborate with client leads, business operators, fellow consultants, and the Mind Moves project team—while working closely with world-leading scientists at NIH and Mind Moves. This role offers the chance to:<ul><li>Make a measurable impact on scientific discovery and public health.</li></ul><ul><li>Gain hands-on experience with frontier AI/ML technologies.</li></ul><ul><li>Operate at the intersection of health, data, and AI in a creative, mission-driven environment.</li></ul>The contract will include:<ul><li>Deliver 'knowledge sessions' to teams to familiarize and give working knowledge to teams</li></ul><ul><li>Assist in data engineering and preparation tasks to enable teams who may not have engineering resources to utilize their data or new data sources</li></ul><ul><li>Rapidly develop proof-of-concept AI prototypes and functional demos to validate use cases, accelerate stakeholder buy-in</li></ul><ul><li>Demonstrate iterative value creation across team capabilities</li></ul><ul><li>Collaborate with cross-functional teams across federal agencies and supporting partners</li></ul><ul><li>Designing solutions with defined requirements</li></ul><ul><li>Innovating ‘outside the box’ while accounting for risk</li></ul><ul><li>Articulate the art of the impossible and lead to the edge of the frontier of innovation</li></ul>Contractor has the following skills/background:<ul><li>7+ years professional experience in Data Science, Machine Learning, or AI Engineering</li></ul><ul><li>Azure expertise is essential — deep, hands-on experience with Azure AI Foundry, Azure OpenAI Service, Azure Cosmos DB, and the M365 ecosystem (Teams, SharePoint, Copilot); general cloud experience is not sufficient</li></ul><ul><li>Production-level RAG implementation — retrieval strategy, relevance ranking, chunking, access-controlled data filtering, and evaluation; this is a non-negotiable core requirement</li></ul><ul><li>Strong GenAI/LLM depth — prompt engineering, model selection and strategy, structured outputs, evaluation frameworks, and guardrails</li></ul><ul><li>Demonstrated experience designing and orchestrating agentic AI workflows using LangChain, AutoGen, or Microsoft Semantic Kernel</li></ul><ul><li>Knowledge graph / graph database experience (Neo4j or Azure Cosmos DB with graph API) — entity modeling, relationship design, query and visualization</li></ul><ul><li>Databricks and MCP integration experience</li></ul><ul><li>Data engineering and ETL — pipeline design, API integration, backend development</li></ul><ul><li>AI governance aligned with NIST AI RMF, NIH/HHS requirements, including human-in-the-loop workflow design and RBAC in federal environments</li></ul><ul><li>Proficiency in Python, PyTorch, and SQL</li></ul><ul><li>Background or experience in biomedical, bioinformatics, or life sciences preferred</li></ul><ul><li>Experience taking solutions from proof of concept through MVP to production deployment</li></ul><ul><li>Strong communication skills; ability to lead knowledge sessions with non-technical stakeholders</li></ul><ul><li>US-based required</li></ul>Compensation range: Proposals accepted from $100-110/hourEstimated contract duration: 12 monthsContract hours: 40 hours/weekWork locale: 100% remote in the USSecurity: If selected, candidates will be required to complete a full background check.To apply: If interested, please upload your resume and complete this short form. Timeline and ProcessThis opportunity has an immediate start date. The contract bid process will include 2-3 interviews and the invitation to complete a technical exercise.

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