Builds and operates backend services and batch pipelines for classifying and extracting data from high-volume documents using AWS Bedrock.
Owns the end-to-end pipeline including S3 ingestion, multi-format parsing, LLM classification, OCR fallback, and tooling for accuracy, cost, and throughput.
Converts unstructured healthcare provider and insurance data into structured business data for validation and business logic.
Design and build scalable data pipelines on AWS using Python, PySpark, and Glue.
Develop AI agents and REST APIs using Amazon Bedrock and modern pro-code practices.
Work across the full engineering lifecycle from architecture to productionization.
This is a partner company hiring for a remote contract role through Jobgether. They focus on building production-grade AI, data engineering, and cloud solutions in a fast-moving environment.
Design, build, and operate AWS infrastructure supporting ML models, AI tools, and event-driven integrations.
Build reliable CDC pipelines and event-driven integrations with third-party systems like Salesforce and Braze.
Implement observability, secure operations, and model monitoring for production ML and LLM systems.
National Debt Relief helps consumers resolve debt and has settled over $10 billion for 450,000 clients. It is a certified Great Place to Work known for a team-oriented culture and employee growth.
Develop cloud-native data products and scalable ETL pipelines using AWS services.
Implement Infrastructure as Code, CI/CD pipelines, and observability for reliable deployments.
Apply Data Mesh principles and data governance across cross-functional data teams.
They build secure, scalable AWS infrastructure and data solutions for federal environments. The team works in a SAFe Agile environment with a focus on data governance, automation, and collaboration.
Design, implement, and maintain secure and scalable AWS cloud infrastructure supporting a federal client's architecture.
Develop ETL pipelines and automate deployments using AWS services such as S3, Redshift, Glue, Lake Formation, and Lambda.
Implement CI/CD pipelines, Infrastructure as Code, and data governance within a SAFe Agile environment.
A rapidly growing federal contractor providing secure cloud infrastructure and data solutions for federal clients. They emphasize a collaborative, SAFe Agile culture and support remote work with occasional travel to the DMV area.
Design, develop, and maintain reliable APIs, backend services, and document processing workflows.
Take ownership of product features from design through deployment and optimization.
Integrate AI and LLM capabilities into production systems, balancing quality, speed, and reliability.
The company builds reliable, scalable software solutions that simplify complex document workflows, with a focus on AI-powered capabilities. It offers a collaborative, fast-moving engineering environment where technical excellence and autonomy are valued.
Build reliable APIs, backend services, and document processing workflows.
Integrate AI capabilities into production workflows with focus on quality and speed.
Improve interfaces for complex document tasks and collaborate across the stack.
The company builds software for complex, document-intensive workflows, focusing on reliability and practical AI integration. The team includes engineers and domain experts working closely to deliver product features.
Design, build, and maintain scalable data pipelines supporting the modernization of U.S. Army financial systems.
Develop Python-based workflows and cloud-native solutions using AWS services like Glue, Lambda, S3, and CloudWatch.
Collaborate with cross-functional teams to translate business and mission requirements into reliable, secure data solutions.
540 is a forward-thinking technology company that builds impactful solutions for government clients, including modernizing legacy systems for the U.S. Army. The culture is self-starting, innovative, and focused on breaking down barriers to get things done.
Own the outcome from customer need to shipped agent, improving quality, coverage, and experience.
Build production agents and tools on Amazon Bedrock, turning serving layers into capabilities.
Measure groundedness, adoption, and impact, then diagnose and iterate to ship reliable answers.
WorkWave builds AI-powered software, including the in-product assistant AskWaive, to help customers make better decisions. They offer a flexible, collaborative remote environment and value trust, inclusion, and impact.
Design, deploy, and optimize data and AI/ML systems on AWS end-to-end.
Maintain and evolve production platforms, monitoring for drift and improving reliability.
Partner with AWS Professional Services and client teams to align data and AI architecture with business goals.
We are an applied AI engineering firm building AI co-workers that integrate into enterprise operations and deliver measurable client results. Founded in 2009, we are a smaller, senior team with delivery centers in the US, Canada, Eastern Europe, and Latin America, averaging 15+ years of experience.
Design, develop, and maintain scalable data and application services supporting AI-driven solutions
Build and maintain workflow orchestration, integration, and automation capabilities across enterprise platforms
Develop and optimize backend services, APIs, and microservices using modern cloud-native architectures
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, streaming, and theme parks. We are a subsidiary of Comcast Corporation and foster an inclusive culture with a diverse workforce.
Design and implement Python solutions using the full suite of AWS cloud computing capabilities.
Develop and iterate on AI and LLM-based workflows to reduce customer time-to-outcome.
Operate in a collaborative, agile remote environment, sharing knowledge and participating in peer code reviews.
Two Six Technologies builds, deploys, and implements innovative products that solve complex challenges, particularly in the information operations space for US government and Fortune 50 clients. The company emphasizes collaboration, trust, and pushing boundaries to empower its team and support customers in building a safer global future.
Own the technical vision for complex federal and public sector data pipeline systems.
Drive architectural strategies that prioritize scale, performance, and security compliance.
Write production-ready code and guide mission-critical technical initiatives.
Unstructured builds AI-ready data pipelines for enterprises and governments, transforming PDFs, HTML, Word docs, images, and emails for LLMs and generative AI. It's a well-funded startup with a mission-driven, collaborative culture of smart, low-ego builders.
Design and build Model Context Protocol (MCP) servers and integrations to expose data sources to AI assistants.
Develop document-processing pipelines for RAG, including parsing, chunking, metadata tagging, and embeddings.
Provision AWS infrastructure as code with Terraform and ship production-grade backend services.
Coderio designs and delivers scalable digital solutions for global companies, combining technical expertise with a product mindset. It is a remote-first company that values autonomy, clear communication, and long-term partnerships.
Build LLM-based agents on the platform's scaffolding, integrating tool calls, internal APIs, and guardrails.
Take agents to production on AWS with containers, CI/CD, secrets, permissions, and security controls.
Define and run evals, monitor with Langfuse, and document runbooks for independent operation.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. It is a fast-growing, remote-first startup that values collaboration, continuous learning, and a positive, ownership-driven culture.
Design and build the gateway, runtime, and evals services for AI workloads at scale.
Own technical decisions from design to launch, including identity, quota, and failover controls.
Partner with security and infrastructure teams to set guardrails for agentic workloads.
We provide clear, predictable pay-over-time financial products with no hidden fees. We are a remote-first company with an engineering culture centered on blameless postmortems and detailed technical design.
Design and implement AWS IoT Core solutions for device onboarding, connectivity, identity, fleet management, and tenant isolation.
Develop AWS IoT Greengrass v2 components and build generative AI applications using Amazon Bedrock, including RAG and agent workflows.
Build embedded Linux device software, secure OTA pipelines, and validate solutions through fleet-scale simulation and lab hardware testing.
Redapt Inc. is a data center infrastructure integrator, technology engineering firm, and cloud services provider that designs innovative solutions for demanding applications and data-driven business value. The company focuses on delivering cloud, IoT, and edge solutions that help enterprises extract powerful insights from their data.
Supporting development, maintenance, and continuous improvement of client data platforms.
Designing ETLs and ELTs, building Lakehouse architectures, and managing data pipelines.
Working with AWS data services, Apache Spark, and DevOps tools in an Agile environment.
Netrix Global provides people, processes, and technology to run and scale modern data-driven businesses. They have a strong, collaborative remote team with opportunities to expand skillsets across the organization.
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.