Design and build production-grade knowledge graphs and LLM-powered AI agents for next-generation software products.
Establish evaluation frameworks and technical strategy for applied AI, ensuring reliable and scalable solutions.
Mentor technical professionals and collaborate with distributed teams across India, UK, and North America.
The hiring company builds knowledge-driven AI products, including knowledge graphs and intelligent agents for software solutions. It operates with a remote-first, globally distributed team across India, the UK, and North America.
Design and build production-grade AI agents with LangGraph to automate multi-step workflows across internal teams.
Deploy and scale agents on Amazon Bedrock AgentCore, ensuring security, reliability, and cost efficiency.
Partner with internal teams to identify high-impact workflows and drive adoption through documentation and training.
Wrapbook is an AI platform for production finance, helping finance teams manage payroll, spend, and accounting for film, TV, and commercial productions. Trusted by teams at Netflix and Paramount, the 350+ person company is backed by major investors and focused on using AI to transform how finance teams work.
Develop and enhance AI agents, orchestration, and conversational experiences using Python, LangGraph, and LangChain.
Build scalable enterprise AI platforms with observability, monitoring, and performance tracking.
Integrate AI applications with enterprise systems, APIs, and modern agent communication frameworks.
Miratech is a global IT services and consulting company that helps enterprises and startups innovate and transform digitally. With nearly 1,000 professionals across 25+ countries, it fosters a culture of Relentless Performance and has a 99% project success rate.
Own AI agents and autonomous workflows powered by LLMs from problem framing through production.
Build RAG pipelines, set evaluation and guardrail standards, and optimize for cost and scalability.
Work directly with client teams to scope problems and deploy AI systems in their environments.
Acceler is a Forward-Deployed Engineer company that takes AI from pilot to production inside client systems. With a practitioner network of nearly 1,000 engineers across the US and India, it's a high-caliber team built on ownership, trust, and rapid learning.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
Building multi-agent systems and implementing agent-based workflows and AI automation solutions.
Developing and optimizing prompt engineering strategies, including evaluation and iteration.
Integrating LLMs and AI models into cloud-based applications and APIs while researching new AI tools.
Software Mind develops impactful software solutions for global companies, partnering with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and embraces a culture of openness, respect, grit, and cooperation.
Design and improve AI systems for extracting structured reasoning signals from technical interviews.
Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
APADCode is an early-stage AI startup building an AI-powered technical interview platform that evaluates how candidates reason and solve problems. The company is a small, early-stage team with a culture of high ownership, direct collaboration, and minimal bureaucracy.
Research and deploy NLP, ML, and GenAI solutions for revenue lifecycle management products.
Partner with engineering and product to take models from experimentation to production at scale.
Mentor teammates and drive evaluation standards while building LLM and RAG-based capabilities.
Conga unifies pricing, quoting, contracting, rebates, and communications so companies run as connected, smarter businesses. Trusted by over 10,000 customers and 50% of the Fortune 100, Conga fosters a culture where colleagues thrive and every voice is heard.
Own end-to-end product strategy and roadmap for Netomi's Agents platform, tying investments to measurable enterprise outcomes.
Work hands-on with AI labs, build prototypes, design evaluations, and debug production failures to drive faster product decisions.
Collaborate with engineering, research, data science, and go-to-market teams to launch capabilities adopted by global enterprise brands.
Netomi is an agentic AI platform for enterprise customer experience, enabling automation across the customer journey for global brands like Delta Airlines, MetLife, and United. Backed by WndrCo, Y Combinator, and Index Ventures, it focuses on driving efficiency, lowering costs, and delivering high-quality customer experiences.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.
Lead technical design and delivery of high-impact AI initiatives, including agentic workflows and retrieval systems.
Own projects from concept through production while mentoring engineers and raising engineering standards.
Build production-grade AI systems using LLMs, RAG, and AWS services.
Givzey | Version2.ai is a fully remote, AI-native company that created the Autonomous Fundraising category, deploying Virtual Engagement Officers to help nonprofits scale donor outreach. The company has generated over $20M in fundraising revenue and fosters a culture of technical excellence, mentorship, and ownership.
Build and ship AI methods for federal research data with LLMs, NLP, RAG, knowledge graphs.
Benchmark AI against baselines and human reviewers to prove gains in accuracy, reliability, efficiency, cost.
Set standards for trustworthy AI and mentor data scientists through code review and guidance.
ARI builds AI methods for federal research-funding and administrative data, with clients including the NIH. It is a small multidisciplinary team of scientists, analysts, economists, and data scientists experienced with NIH data.
Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.
Architect AI infrastructure including backend services, data pipelines, and orchestration workflows for LLMs.
Write production-grade, high-performance code for high-throughput AI workflows and data-driven systems.
Integrate foundational models, vector data stores, and cloud microservices into scalable platform components.
Korza builds AI infrastructure and products, specializing in LLM and agent-based systems. The company emphasizes cross-functional collaboration and rapid shipping of cutting-edge AI capabilities.
Own AI solutions from discovery to production, ensuring quality and scalability.
Design and evolve Generative AI, RAG, and agentic applications with strong engineering foundations.
Collaborate with architects and product teams to establish best practices for AI evaluation and observability.
CI&T helps large enterprises turn AI potential into real business impact through AI deployment and tech-integrated solutions. With 8,000 employees across 25 countries, they foster a collaborative culture focused on innovation and continuous learning.
Build and maintain LLM-powered 'company brain' knowledge systems and agentic memory solutions.
Design, deploy, and operate production agentic applications with Claude Code, AWS, and robust harnesses.
Enable transformation through training, workshops, and stakeholder partnership across a 500-person organization.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize platforms, and apply AI to business challenges. Its culture values curiosity, ownership, practical innovation, and collaboration across multidisciplinary teams.
Build and harden production AI solutions, including RAG and knowledge graph-based member experiences.
Serve as technical counterpart to AI vendors, reviewing designs/code and leading knowledge transfer to insource work.
Implement MLOps/LLMOps, data pipelines, and engineering standards for reliable, secure AI systems.
ISACA champions the global workforce advancing trust in technology through knowledge, credentials, training, and networking. With over 195,000 members and 230 chapters worldwide, ISACA supports careers in security, governance, assurance, risk, privacy, and emerging tech.
Build and improve AI agents by writing production code for Voice Agent and Autopilot platforms.
Own enterprise AI deployments from initial discovery through go-live, working directly with customers.
Design and implement AI workflows, debug agents in production, and turn customer needs into reusable product features.
Supermove builds software and AI for moving companies, providing systems for sales, operations, crews, and billing. The company has raised $30M from investors like Andreessen Horowitz and serves moving businesses across the US, Canada, and Australia.
Build and optimize LLM-powered features for automated recruiting workflows, improving AI agent performance through prompt engineering and safety guardrails.
Design and deliver full-stack features across backend services, Python web apps, and frontend interfaces with enterprise ATS and CRM integrations.
Own end-to-end technical delivery, including architecture, code reviews, testing, and production monitoring, while working directly with enterprise clients.
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
Design, fine-tune, and deploy language model-based solutions from research to production.
Build and improve GenAI pipelines including RAG, corrective RAG, and agentic orchestration.
Develop scalable data and embedding pipelines, and evaluate generative AI outputs against accuracy and safety standards.
Liberty Mutual is a global insurance company that builds generative AI capabilities for its products. It is a large organization with an inclusive culture that values diverse perspectives, flexibility, and professional development.