Design and implement multi-agent state machines using LangGraph and LangChain for autonomous decision-making.
Build production-grade RAG pipelines on AWS with dual-engine vector search and serverless ingestion.
Architect secure multi-tenant AI systems with RBAC, PII redaction, and HITL guardrails.
Novara provides safety and operational risk management software that empowers organizations to identify and resolve issues before they become incidents. As a Providence Equity portfolio company, we are a dedicated team fostering innovation and collaboration in a remote-first environment.
Design and implement multi-agent AI systems using frameworks like LangChain and CrewAI, building agent-to-agent orchestration pipelines.
Fine-tune foundation models, integrate retrieval-augmented generation, and develop APIs and backend services for production deployment.
Containerize and deploy agents with Docker and Kubernetes, while collaborating with QA and product teams to benchmark accuracy and safety.
Innodata is a global data engineering company focused on enabling the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of experience, the company delivers high-quality data solutions and services for Generative AI builders and adopters.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Design and build production-grade LLM-powered agents and workflows for enterprise-scale AI solutions.
Develop and optimize RAG pipelines, agent reasoning patterns, and evaluation frameworks to measure model quality.
Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into impactful AI systems.
Smartsheet builds AI-powered strategic planning and work execution agents through SmartAssist, an intelligent agent platform. The company is a publicly traded, large enterprise with a collaborative, inclusive culture that values diverse perspectives and engineering rigor.
Architect and deploy scalable Generative AI and ML systems into production.
Integrate and optimize LLMs for business planning, including RAG and prompt engineering.
Build conversational interfaces and agentic workflows using Python and modern ML practices.
Anaplan provides an AI-infused scenario planning and analysis platform that optimizes business decision-making. With over 2,400 global customers including Fortune 50 companies, the company fosters a winning culture focused on innovation and diversity.
Design, build, and operate AI systems that solve real business problems across Finom, from prototype to production.
Own AI systems end-to-end including problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration.
Partner with solution managers, domain teams, and engineers to integrate AI into real workflows and deliver production-grade AI capabilities.
Finom is a European tech startup developing an all-in-one financial B2B solution integrating banking, accounting, and invoicing. With over $346 million in total funding, they are expanding across key EU markets and maintain a start-up culture focused on innovation and employee empowerment.
Build and ship specialized agents including parsers, extractors, and synthesizers for the Aedeon agent-native modernization platform.
Own the full delivery of assigned agents from prototype through deployment and post-release validation, practicing test-driven development.
Write clear Python, document agent contracts and decision logic, and promote a culture of release discipline and quality across the team.
Mactores is a trusted leader in providing modern data platform solutions, enabling businesses to accelerate value through automation with end-to-end data solutions that are automated, agile, and secure. Since 2008, they have collaborated with customers to strategize and navigate digital transformation via assessments, migration, or modernization, fostering a culture driven by 10 core leadership principles.
Design and develop AI applications using Amazon Bedrock with production-grade RAG architectures.
Build Bedrock Agents, Action Groups, and implement AI safety controls and content filtering.
Deploy serverless AWS solutions using Infrastructure-as-Code and monitor system performance.
HIKINEX is a staffing company that places tech talent. The company operates remotely and focuses on contract placements for specialized engineering roles.
Build agent harnesses in Python using LangChain and LangGraph, including tool-calling and structured outputs.
Develop evaluation frameworks with golden datasets, LLM-as-judge, and regression suites, wiring them into CI.
Collaborate with data engineers on Snowflake-backed retrieval patterns like Cortex Analyst and Search Services.
Kobie is a loyalty solutions partner that helps brands build emotional connections with their consumers. Named a Top Workplace in the USA, they offer a flexible remote culture with a focus on collaboration and growth.
Research and develop a platform utilizing cutting-edge AI agents for generative AI and machine learning solutions.
Design, implement, and optimize end-to-end machine learning pipelines, including LLMs, prompt engineering, and agentic AI.
Collaborate with cross-functional teams to deliver enterprise-grade AI architectures in financial, healthcare, or insurance industries.
The company operates in the technology, information, and media sector, focusing on software development. It is a mid-sized organization with a remote-first culture, seeking a Senior GenAI/Agentic AI Engineer to develop cutting-edge AI agents.
Build production-grade AI systems using TypeScript, Python, LangGraph, and modern AI approaches.
Design and deliver agentic workflows and AI-powered products from concept to deployment.
Mentor engineers and help establish AI best practices across the organization.
Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their global teams. They connect top LATAM talent with international product companies while providing full employer-of-record support and long-term career development.
Design and build scalable backend systems powering AI agents in real-time enterprise environments.
Develop agent orchestration frameworks and low-latency inference pipelines integrating LLMs and SLMs.
Build robust APIs and work with cross-functional teams to productionize agentic AI at scale.
Level AI is an AI-native platform that helps enterprises transform contact centers into engines of customer intelligence and operational efficiency. The company is a Series C startup backed by Battery Ventures and ENIAC, based in Mountain View, California, with a globally distributed team.
Design and build production-grade AI systems including RAG pipelines, agentic workflows, and LLM integrations.
Own backend services, APIs, and data pipelines end-to-end with Python as the primary language.
Translate ambiguous client requirements into scoped technical decisions and delivery plans.
Provectus is a consulting and professional services firm specializing in AI and ML solutions, serving as an AWS Premier Consulting Partner and strategic partner of Anthropic. They build custom, production-grade AI for global enterprises and operate with a remote-first culture emphasizing autonomy and ownership.
Design and architect Generative AI solutions on AWS
Advise customer leadership on AI strategy, adoption, and governance
Build and deploy scalable AI applications leveraging Amazon Bedrock and foundation models
HIKINEX is a technology company focused on AI and cloud solutions. They specialize in deploying generative AI on AWS and offer consulting services to enterprise clients.
Design and ship agentic workflows that plan, act, and re-plan in a loop, and build retrieval-augmented generation (RAG) pipelines that ground AI in real data.
Select the right model for each task, engineer prompts and context structures, and write evaluations to prove AI system correctness.
Connect AI tools to internal systems via APIs or MCP, review AI-generated code for correctness and security, and collaborate with the team to deliver complete solutions.
Vosyn is a trailblazing Language Synthesis AI firm that dissolves language barriers and empowers users through innovative AI solutions. Currently preparing for a significant IPO, the company fosters a culture of flexibility, continuous improvement, and solution-focused strategies where every idea is welcomed and nurtured.
Architect and ship production-grade agentic AI applications including multi-agent orchestration, retrieval systems, and evaluation pipelines.
Design and build learner-facing AI experiences and operator tools end-to-end using React and TypeScript.
Own production reliability for AI systems including model failover, rate limiting, cost monitoring, and incident response.
Chegg Skills builds applications that help motivated career switchers transition into high-growth roles. The company serves thousands of learners and educators each year through a high-ownership engineering team rethinking modern education.
Champion the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.
Work cross-functionally with product, design, and engineering teams to design and build efficient AI solutions for customer support.
Learn and share the latest AI/ML technologies with the team to drive innovation.
Airbnb connects travelers with unique stays and experiences hosted by locals worldwide. With over 5 million hosts and 2 billion guest arrivals, the company fosters authentic community connections and values inclusion and belonging.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Design, develop, and deploy AI-powered applications using Python.
Build and implement Generative AI solutions with Large Language Models (LLMs).
Develop and orchestrate Agentic AI workflows for autonomous reasoning and task execution.
Nagarro is a digital product engineering company that builds products, services, and experiences that inspire and delight. We have 19,000+ experts across 34 countries, with a dynamic and non-hierarchical work culture.