Build a Safer World. TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all. The AI & Automation team at TRM is responsible for designing and building AI-powered applications and agentic solutions that help our internal teams operate at scale. We partner directly with business leaders across the company to identify high-impact opportunities, then design, build, and own end-to-end solutions that meaningfully move key business metrics. We are looking for a Senior AI Engineer (AI Automation) who is excited to work hands-on with modern AI technologies, build custom internal tools, and operate with a high degree of ownership. This role is ideal for engineers who want to stay deeply technical while also shaping what gets built, not just how it’s built. As a member of the AI & Automation team, you will embed closely with business teams (e.g., Intelligence, R&D, Operations, Talent, Finance, Legal, R&D), identify their most critical challenges, and design AI-enabled solutions that drive measurable outcomes. You’ll own these systems end-to-end—from ideation and architecture through delivery, iteration, and long-term maintenance. The impact you’ll have here: - Design, build, and own full-stack, AI-powered internal applications, including backend services, APIs, data storage, and user-facing interfaces. - Develop custom agentic solutions that leverage state-of-the-art AI models (e.g., OpenAI, Anthropic, Gemini) to automate workflows, augment decision-making, and scale business processes. - Embed within internal teams to deeply understand their goals, constraints, and key metrics, then translate those needs into technical solutions with clear success criteria. - Own projects end-to-end, including technical design, architecture decisions, scoping, delivery, iteration, and ongoing support. - Collaborate with non-technical stakeholders to expand their understanding of what’s possible with AI and help shape more ambitious solutions. - Build reliable, scalable systems that are used across the organization and touch critical parts of TRM’s operations. - Continuously evaluate impact, iterating on solutions quarter-over-quarter based on measurable business outcomes. - Contribute to a fast-moving, high-ownership engineering culture that values quality, velocity, and real-world impact. What we’re looking for: - 6+ years full-stack software engineering experience building scalable web applications, services, and APIs - Proficiency in JavaScript/TypeScript and/or Python, and comfort working across the stack including frontend development (React or similar frameworks) - Experience building backend systems, working with various datastores such as (Postgres/pgvector, Pinecone, Redis) and designing APIs. - Demonstrated curiosity and hands-on experience with AI tools and applications - using modern AI models, agentic IDEs, or building AI-enabled workflows or prototypes. - Experience building or experimenting with custom developed agentic systems, workflow orchestration tools (n8n), or Agentic browser automation - A high degree of ownership and initiative, with the ability to operate independently in ambiguous problem spaces - Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences - Experience collaborating cross-functionally and building trust with stakeholders at all levels of the organization Bonus:** - Direct experience integrating automated AI Evaluation/Testing/Observability suites to continuously test model effectiveness leveraging platforms such as DeepEval, Langfuse/LangSmith or similar About the Team: - The team operates on a weekly sprint schedule. Individuals on the team are tasked to lead projects as technical anchors, and given a chance to grow and take ownership according to their level and goals. We work closely with our internal stakeholders to deliver impactful features to our internal customers and the company. - The team’s culture is built on psychological safety wherein team members build rapport and trust-based relationships with teammates, hold each other accountable and to a high bar, collaborate extensively, and have lots of fun along the way. - The team’s timezone is a mix of EST and PST with at least 6 hours of overlap with PST (8 am to 2 pm PST) - On-Call: We have an on-call rotation that is specific to internal tools. In this role, the internal tools engineer is responsible for triaging customer support requests from specific Slack channels pertaining to internal tools. Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting financial crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Privacy Policy and Additional Information By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Learn More: Company Values | Interviewing | FAQs

Lead Software Engineer – Elvoro Ltd Engagement: Full-time (40h/week) Location: Remote Compensation: $3,000.00 / month ($1.5K base + $1.5K performance, ≥80%) Trial Period: 30-day paid probation ($2000.00) Overview We are seeking a creative and self-directed content associate to handle all non-technical operations of the company, from social media content production to day-to-day administrative tasks. The founder defines weekly business outcomes and you execute independently. About the Company Elvoro Ltd is an innovative AI marketing technology company. We are an early-stage, founder-led company focused on selling and improving an MVP centered on AI-driven social media management and content generation. The team is small and engineering-driven, with an emphasis on speed, clarity, and practical execution. Responsibilities & Deliverables - Build, optimize, and maintain large-scale Python pipelines for AI-driven content generation and scheduled posting across all major social media platforms (Instagram, TikTok, YouTube, Facebook, X, Threads, Snapchat, and more) - Integrate and manage numerous third-party APIs — including AI services for social media, text, image, video, voice, and sound — and evaluate output quality for social media performance - Build, manage and optimize AI agents for social media workflows. Design scalable, reusable automation pipelines that serve multiple clients and creative workflows, with a path toward self-service capabilities and AI agent integration - Own the GitHub repository end-to-end: clean code, proper branching, documented commits, and written summaries for every completed task - Automate client reporting (analytics across all published content and platforms) and handle all other technical tasks as directed by the founder - Complete tasks fully independently, be proactive and solution-orientated on your own, take ownership and technical responsibility Qualifications - 5+ years of professional Python development experience with a focus on automation and pipeline engineering - Tech stack: Python (advanced), REST APIs / HTTP clients, GitHub / Git, Google Cloud Platform (GCS, Cloud Functions, etc.), JSON/CSV data handling, Bash / Linux CLI, SQL / database fundamentals, task scheduling (cron, Celery, or similar), virtual environments and dependency management - Proven track record building and scaling complex automation workflows integrating multiple APIs in production environments - Comfortable managing a codebase independently: GitHub workflows, technical decision-making, and clean documentation - Experience with AI/ML APIs (LLMs, image generation, video generation, TTS) and social media platform APIs, with an eye for evaluating creative output quality - Independent, solution-oriented, and proactive with strong communication skills. Fast-paced early-stage environment. - Fluent in English (written) Benefits Compensation of $3,000/month for a full-time remote engagement. All tools and resources required for the job are provided and paid for by the company, including GitHub seats, API access, and AI subscriptions. Direct one-on-one collaboration with the founder, with full technical ownership and meaningful influence over the product. Opportunity to work at the cutting edge of AI-powered automation and grow into a senior technical role as the company scales.

Job Description: AI/ML Engineer (SD1/SD2) Location: Remote / Bangalore Type: Full-time Team: AI/ML Engineering About Disseqt AI Disseqt AI helps enterprises build safe, reliable, and compliant AI systems. We develop cutting-edge evaluation, safety, and monitoring capabilities that ensure AI applications behave consistently, securely, and responsibly in production environments. We are building the next-generation AI safety stack — combining machine learning, smart evaluation systems, and scalable engineering. If you love working at the intersection of ML models, systems engineering, and real-world AI reliability, this role is for you. Role Overview We’re looking for an AI/ML Engineer (SD1/SD2) who can design, train, and deploy machine learning models and build production-quality ML services. You’ll work across model development, evaluation pipelines, and backend integration to support scalable AI systems used by enterprise customers. This role sits at the heart of our ML platform — combining applied machine learning, NLP, model optimization, and service engineering. What You Will Do Machine Learning & NLP - Build and optimize ML models for text classification, semantic scoring, and evaluation tasks - Develop hybrid ML pipelines combining classical ML, embeddings, and rule-based techniques - Work with transformers, embeddings, and lightweight inference-optimized architectures - Benchmark multiple models for accuracy, latency, and reliability Production ML Engineering - Build containerized ML services (Python/FastAPI) for high-performance inference - Optimize models for CPU-only execution and on-prem deployment - Implement scalable inference pipelines and internal APIs for model serving - Ensure reliability, uptime, and versioning of ML services Evaluation & Observability - Develop automated evaluation pipelines for model performance and quality - Instrument ML services with tracing, logging, and metrics - Work closely with backend engineers to integrate ML outputs into platform workflows Safety & Quality Systems - Train and refine models for text safety, classification, detection, and quality scoring - Build logic to combine statistical, ML, and heuristic signals - Contribute to robust testing frameworks and red-teaming workflows Engineering Collaboration - Work with platform, backend, and infra teams to deploy ML workloads - Write clean, maintainable code and contribute to internal tooling - Participate in code reviews, architecture discussions, and sprint planning What We’re Looking For Required Skills - Strong proficiency in Python for ML development - Experience with ML model training and classical ML (SVM, Logistic Regression, XGBoost, etc.) - Experience with NLP libraries (Transformers, spaCy, sentence-transformers) - Familiarity with model evaluation, metrics, and benchmarking - Ability to build APIs/services for ML inference (FastAPI/Flask) - Understanding of containerized deployment (Docker) - Comfortable working with data preprocessing, dataset creation, and experimentation Good To Have - Experience optimizing models for CPU or resource-constrained environments - Knowledge of embeddings, similarity scoring, and semantic search - Exposure to ML observability, logging, or tracing systems - Experience with rule-based + ML hybrid systems - Hands-on experience with Redis, PostgreSQL - Basic understanding of Golang is a plus - Exposure to agentic/LLM systems, evaluation frameworks, or safety research Who Will Thrive in This Role - Engineers who enjoy owning ML problems end-to-end — model → API → deployment - Those who love practical ML, not just research - Builders who like shipping to production, not just prototyping - People who enjoy working in fast-paced, deeply technical teams - Those passionate about the reliability and governability of AI systems Why Join Us - Work on high-impact ML problems in a rapidly evolving domain - Build real-world AI systems trusted by enterprise customers - 100% ownership of projects with end-to-end visibility - Solve technically challenging ML problems with a top-tier engineering team - Competitive salary + equity

Founding GTM Engineer Location New York City or U.S. Employment Type Full-time Location Type On-site, Hybrid, or Remote Department Revenue & GTM Engineering Compensation • Competitive base salary • Performance-based commission • Equity About Evergrid Evergrid builds the infrastructure that powers advanced artificial intelligence at scale, with the Most Advanced Neocloud. We design and operate critical GPU and power infrastructure for frontier AI workloads — environments where performance, reliability, and execution are non-negotiable. Our customers are building systems at the edge of what’s possible, and they depend on infrastructure that scales quickly and works under sustained pressure. We care deeply about outcomes, ownership, and building durable systems and long-term partnerships. The Role As a Founding GTM Engineer, you will help design and implement go-to-market systems to win mindshare and grow our top-of-funnel. This role is focused on building simple, high-impact workflows that scale. You’ll be expected to generate high-impact ideas and quickly implement working GTM motions. We value speed, clarity, and leverage — lightweight systems that work today and can scale tomorrow without adding unnecessary complexity. If you enjoy moving fast, testing ideas in the real world, and turning small systems into meaningful impact, this role is for you. What You’ll Do Build modern GTM Systems - Design and build on Evergrid’s go-to-market and sales engineering workflows - Build simple automations across HubSpot, Make.com, Clay, and internal tools - Prototype new outbound, inbound, and qualification workflows - Replace manual sales work with creative automation and AI-driven processes - Test GTM ideas quickly and scale what works AI-Driven Sales Acceleration - Use modern AI models (ChatGPT, Grok, Gemini, and others) as building blocks - Create workflows for prospect research, personalization, account mapping, and follow-up - Design AI-assisted systems for founder-led sales and enterprise deal support - Explore agent-style workflows to reduce time-to-meeting and time-to-close Sales Engineering & Deal Support - Support live deals with technical context and clear customer-facing explanations - Translate GPU and cloud infrastructure concepts into simple, compelling narratives - Assist in pilots, proofs of concept, and custom enterprise deal flows - Act as a bridge between sales, founders, and infrastructure teams Learning, Iteration & Optimization - Identify friction in the sales process and design systems to remove it - Track what’s working and iterate based on real results - Build feedback loops between GTM data and execution - Document systems so successful experiments become repeatable What We’re Looking For - Strong systems thinker with a bias toward experimentation and execution. - Comfort operating in ambiguity and learning quickly - Experience with automation platforms (HubSpot, Make.com, Zapier, APIs, or similar) - Heavy user of AI tools (ChatGPT, Grok, Gemini) to accelerate ideation and execution - Technical curiosity and ability to learn complex products - Clear written and verbal communication - High ownership mindset Nice to Have - Exposure to enterprise or technical sales environments - Experience with enterprise & AI-Native cloud sales, Neocloud, GPU Cluster buyers - Background in startups or fast-moving environments - Basic scripting or API experience