Remote jobs in the United States

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Added 8 mins ago
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Senior Power Systems Engineer, IBR Modeling, PSS/E and PSCAD
SMA America
Remote, United States
- $130,000 to $157,000 USD / year
This position is remote and open to candidates residing within the continental United States. The role includes occasional international travel, including visits to SMA headquarters in…
Added 26 mins ago
Data Analyst Sr - Enterprise IT / Service Central
Lockheed Martin
Remote, United States
This role is fully remote. US Citizenship is required due to system access.
Added 30 mins ago
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Data Analyst (R, Power BI, and SAS) (Job 1507)
DLH
Remote, United States
- $60,000 to $65,000 USD / year
Conduct geospatial and molecular HIV analysis and interpret results using R, SQL, or Python.
Added 46 mins ago
Senior Staff Software Engineer - Identity & Trust
EarnIn
Remote, United States
Strong proficiency in at least one modern programming language such as Java, C#, Go, Kotlin, Python, or JavaScript/TypeScript, with the ability to work effectively across
Added 1 hour ago
Staff Software Engineer
Henry Schein One LLC
Remote, United States
…run on – the infrastructure layer, CI/CD pipelines, and the developer lifecycle tooling underneath. Your work will support roughly 30+ development groups and over 180…
Added 1 hour ago
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Senior Researcher, AI Economic Preparedness
Windfall Trust
Remote, United States
- $105,000 to $160,000 USD / year
Location: Remote, with regular overlap with European and US working hours
Added 1 hour ago
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Remote AI Application Engineer
Insight Global
Remote, United States
- From $71 USD / hour
Strong proficiency in Python, including experience developing APIs and backend services.
Added 2 hours ago
Database Administrator (Fully Remote)
MRIoA
Remote, United States
Scripting (PowerShell, Python) and source control/CI/CD for database changes (Git, Azure DevOps, SSDT, Flyway).
Added 2 hours ago
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Asset Protection Reporting & Insights Manager
sephora.com
Remote, United States
- $99,025 to $131,765 USD / year
Location Name: FSC REMOTE SF/NY/DC -173(USA_0173)
Added 2 hours ago
TV
Senior / Mid-Level Data Engineer
Team Velocity Marketing
Remote, United States
- From $120,000 USD / year
Fully Remote | Technology Development | Starting at $120,000 Annually
Added 3 hours ago
Platform Professional Services Senior Consultant- Guardian (Remote)
CrowdStrike, Inc.
Remote, United States
Programming for AI: Python, R, or similar languages for data analysis and model development, working with agents and/or building agents
Added 3 hours ago
Full-Stack Software Engineer
CAI Computer Aid, Inc.
Remote, United States
…If you have strong proficiency in TypeScript, Node.js, and Python, and are looking for your next career move, apply…
Added 3 hours ago
Technical Support Engineer
Kustomer
Remote, United States
…roadmap for the future of customer experience. Our Krew is a remote-friendly team spread across the U.S. with hubs in NYC and London. We gather in person each year at our annual Kustomer…
Added 3 hours ago
Actuarial Analyst II
The Harbor Health Team Inc
Remote, United States
…work alongside the high-visibility analysis. The role is fully remote and open to candidates anywhere in the United States, with as-needed travel to Austin for in-person working sessions,…
Added 3 hours ago
Staff Data Analyst
Circle Internet Management Services LLC
Remote, United States
Proficiency using APIs and Python to extract, transform, and analyze data across systems
Added 3 hours ago
Enterprise Data Analyst Specialist
Health Care Service Corp.
Remote, United States
Experience in written languages such as SQL, Python, Spark, etc.
Added 3 hours ago
BP
Senior Analytics Engineer
Bold Penguin Inc
Remote, United States
- $84,900 to $139,000 USD / year
Develop and maintain Python scripts for analytics automation, predictive models, and operational reporting
Added 4 hours ago
Site Reliability Engineer
Humana Inc.
Remote, United States
The associate will work as part of a cross-functional engineering team to deliver solutions using technologies such as Python, Angular, SQL, Databricks, SSIS, and enterprise AI gateways for…
Added 4 hours ago
Senior Forward Deployed Engineer (Full-Stack)
Dscout
Remote, United States
…company: live customers, a mature platform (React, Elixir, Python, Swift, Kotlin; SOC 2 and HITRUST certified), a small senior team, and room to build. We work AI-native. Agents write code,…
Added 4 hours ago
Senior Full Stack Developer
Docupace Technologies
Remote, United States
Docupace is seeking a remote Full-Stack Developer, with preference given to applicants in the Philadelphia Metro area.
Added 4 hours ago
Full Stack Developer
OCH Technologies LLC
Remote, United States
OCH Technologies is seeking a Full Stack Developer for a position supporting the FAA’s NAS Defense Program. The Software Developer will provide Full Stack Development and Documentation…
Added 4 hours ago
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Solutions Architect, Integrations - Public Sector (US/CA)
Sardine
Remote, United States
- $125,000 to $210,000 USD / year
- We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on…
Added 4 hours ago
Associate Reliability Engineer (Remote)
KDS Kohl's, Inc.
Remote, United States
Programming skills in one or more languages (Java, Python, Go or Node.js)
Added 4 hours ago
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Growth Marketing Manager
Vantage
Remote, United States
- $150,000 to $200,000 USD / year
We're a fast-growing, remote-first company building products for some of the most innovative technology companies in the world.
Added 4 hours ago
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Growth Engineer
Vantage
Remote, United States
- $150,000 to $200,000 USD / year
We're a fast-growing, remote-first company building products for some of the most innovative technology companies in the world.

Insight Global

Remote AI Application Engineer

Remote, United States

From $71 USD / hour

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Job details

Pay: From $71 USD / hour
Posting language: English
Posted: Oct 29, 2026

Original job description

Required Skills & Experience

3+ years of experience in software engineering, application engineering, platform engineering, or software architecture.
2+ years of experience developing and deploying machine learning, generative AI, or LLM-enabled applications.
Strong proficiency in Python, including experience developing APIs and backend services.
Experience building production-grade integrations using REST APIs, service-based architectures, or event-driven workflows.
Hands-on experience integrating large language models into applications.
Experience developing AI agents, multi-step workflows, or agentic applications.
Experience with tool and function-calling architectures.
Experience with Model Context Protocol (MCP), including building or integrating MCP servers, tools, or clients.
Experience with AI agent and orchestration frameworks such as: ○ Pydantic AI ○ LangGraph ○ LangChain ○ Semantic Kernel ○ LlamaIndex ○ Comparable agent-development frameworks
Experience working with LLM ecosystems such as: ○ Anthropic Claude ○ OpenAI ○ Azure OpenAI ○ Google Gemini ○ Comparable commercial or open-source models
2+ years of experience working with Google Cloud Platform.
Experience deploying containerized applications using Docker.

Nice to Have Skills & Experience

Integration testing and stress testing.
Proficiency with FastAPI or a similar modern Python API framework.
Drug discovery, biology or life science background or work experience.

Job Description

One of our leading pharmaceutical clients is seeking an AI Application Engineer to design and build AI-enabled applications supporting early-stage drug discovery and scientific research. This role will focus on integrating an AI reasoning environment with scientific data and visualization platforms to create a more unified experience for researchers. The engineer will build the application and integration layer that allows scientists to use large language models and intelligent agents while maintaining appropriate controls around data provenance, metadata, access permissions, dataset versioning, and reproducibility. This is not a traditional AI/ML model-development position. The ideal candidate will bring a strong software or platform engineering background and experience building production-grade AI applications, APIs, integrations, and agentic workflows. The engineer must be comfortable working with scientists and domain experts to translate complex research needs into reliable, scalable technical solutions.

Key Responsibilities

Design, develop, and deploy production-grade AI applications and agent-based systems supporting scientific research and early drug discovery.
Integrate AI reasoning capabilities with scientific-data, research, and visualization platforms.
Build APIs, services, and integration layers that allow AI applications to securely access governed scientific data.
Develop applications using large language models, agent frameworks, tool-calling architectures, and orchestration patterns.
Build and maintain Model Context Protocol (MCP) servers and tools that make scientific datasets and platform capabilities accessible to AI agents.
Design workflows that preserve critical data-governance information, including: ○ Data provenance and source traceability ○ Dataset metadata ○ User permissions and access controls ○ Dataset and API version visibility ○ Identification of the curated or approved data source
Develop integration approaches for environments where traditional APIs may not be available, including automated and version-controlled data feeds.
Support semantic discovery across scientific datasets, helping researchers identify: ○ What data is available ○ What data they are permitted to access ○ Which datasets are relevant to a scientific question ○ Which sources and dataset versions are being used
Build observability and reliability into AI applications through appropriate logging, tracing, telemetry, error handling, retry mechanisms, and failure recovery.
Capture agent activity, orchestration steps, tool calls, source data, prompts, model responses, and dataset versions to support reproducibility and explainability.
Help investigate situations where an AI-generated scientific interpretation differs from the interpretation of a human expert.
Develop testing and validation approaches for AI workflows, platform integrations, data pipelines, and production failure scenarios.
Containerize and deploy services within Google Cloud environments.
Partner with scientists, data engineers, software engineers, AI/ML engineers, and other domain experts to translate scientific questions into technical workflows.
Communicate technical concepts clearly to stakeholders who may not have deep software engineering or AI backgrounds.
Contribute to architectural decisions regarding direct platform-to-platform integration versus the introduction of an intermediary application or orchestration layer.

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Skills

Python
API development
LangChain
Google Cloud
Docker
ML
Research

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