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Added 4 mins ago
IG
Senior Energy Distribution & Management Engineer
Insight Global
Costa Mesa, CA
- From $77 USD / hour
Experience owning a vehicle or platform power bus architecture, with protection and fault isolation designed into the bus
Added 4 mins ago
IG
Cost Engineer
Insight Global
Costa Mesa, CA
- From $77 USD / hour
4+ years of experience in product support, sustainment engineering, or systems engineering within a high-rigor environment (defense, aerospace, advanced robotics, complex industrial systems)
Added 4 mins ago
IG
Senior SAP Basis Engineer
Insight Global
Bentonville, AR
- From $71 USD / hour
Experience supporting SAP HANA as the primary database platform
Added 9 mins ago
Sr SW Design Quality Assurance Engineer
Dexcom
Remote, United States
You will actively participate as a core member of the R&D Quality Assurance Engineering team, supporting software design assurance for cloud‑based, data platform, and AI/ML‑enabled systems.
Added 9 mins ago
DevOps Engineer I (Ability to Obtain Secret clearance Required)
Akima, LLC
Herndon, VA
Suvi Global Services is looking for a talented Jr. DevOps Engineer to add to their dynamic team supporting highly visible federal contracts. This role supports and provides security…
Added 9 mins ago
Mac Engineer II
Akima, LLC
Ashburn, VA
Cloud Lake is looking for a Mac Engineer II to work in Ashburn, VA. As an integral member of the CBP End User Device IT Management Services team, the Mac Support Engineer II (Intermediate)…
Added 11 mins ago
TT
Senior/Staff Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $175,000 to $220,000 USD / year
Join an engineering team building an AI platform for drug discovery and life sciences. You will shape foundational product systems that help researchers work with complex scientific…
Added 11 mins ago
TT
Product Engineer
True Talent Solutions Partners
San Francisco, CA
- $145,000 to $260,000 USD / year
Join a product engineering team building a recruiting and talent marketplace platform that combines expert recruiter workflows with AI-powered tools. You will identify meaningful product…
Added 11 mins ago
TT
Lead Platform Engineer
True Talent Solutions Partners
San Francisco, CA
- $220,000 to $300,000 USD / year
- At least 5 years of platform or infrastructure engineering experience, with a track record building and operating production backend infrastructure, data platforms, or distributed systems.
Added 11 mins ago
TT
Senior/Staff Product Engineer, Applied AI
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
…agents into its staffing marketplace and build the backend platform that supports it. This senior, hands-on role spans product engineering, distributed systems, and production AI, with the…
Added 11 mins ago
TT
Lead Software Engineer, Platform
True Talent Solutions Partners
San Francisco, CA
- $220,000 to $320,000 USD / year
- At least 5 years of platform or backend engineering experience, including work with distributed systems.
Added 18 mins ago
Senior Director, Forward Deployed Engineer - Operational AI
Aerospike, Inc.
Remote, United States
As a Senior Director, Forward Deployed Engineer at Aerospike, you will work directly with Global 2000 engineering teams to build that fabric. You will own the technical solution from…
Added 20 mins ago
U
Lead Presales Value Consultant
UKG
Remote, United States
- $160,000 USD / year
…workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we…
Added 26 mins ago
Software Development Engineer, AWS EC2 Nitro Team
Amazon Development Center U.S., Inc.
Santa Clara, CA
We are looking for an experienced software engineer to drive development for new EC2 Machine Learning platforms. In this role, the engineer will work with a broad group of technical teams…
Added 26 mins ago
Software Development Engineer, AWS EC2 Nitro Team
Amazon Development Center U.S., Inc.
Santa Clara, CA
We are looking for an experienced software engineer to drive development for new EC2 Machine Learning platforms. In this role, the engineer will work with a broad group of technical teams…
Added 26 mins ago
Software Development Engineer, AWS EC2 Nitro Team
Amazon Web Services, Inc.
Santa Clara, CA
We are looking for an experienced software engineer to drive development for new EC2 Machine Learning platforms. In this role, the engineer will work with a broad group of technical teams…
Added 26 mins ago
Software Development Engineer, AWS EC2 Nitro Team
Amazon.com Services LLC
Santa Clara, CA
We are looking for an experienced software engineer to drive development for new EC2 Machine Learning platforms. In this role, the engineer will work with a broad group of technical teams…
Added 26 mins ago
Senior Site Reliability Engineer AI Security Federal
BizFirst
McLean, VA
BizFirst is assisting our client with recruiting a Senior Site Reliability Engineer for AI security in a federal civilian agency environment. As the resident reliability engineer, you will…
Added 28 mins ago
Data Platform Engineer (Army Vantage) - Clearance Required
LMI
United States
LMI is seeking a skilled Data Platform Engineer to join our team and contribute to developing innovative software programs that support activities for the Army Materiel Command and Army’s…
Added 30 mins ago
FPGA Engineer
Northrop Grumman
Rolling Meadows, IL · Rolling Meadows
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our…
Added 32 mins ago
Systems Engineer - R&V (Principal or Senior Principal)
Northrop Grumman
San Diego, CA · San Diego
Northrop Grumman Aerospace Systems sector has an opening for a Systems Engineer (Principal or Senior Principal Level) - Requirements and Verification to join our team of qualified, diverse…
Added 32 mins ago
Principal/Controls Engineer - Level 2 or 3
Northrop Grumman
Corinne, UT · Corinne
Northrop Grumman, Space Systems, is currently seeking a Principal/ Energetics Manufacturing Engineer - Level 2/3 also known as Controls Engineer - 2/3 to support our Tooling and Facilities…
Added 36 mins ago
Vulnerability Security Engineer
Hewlett Packard Enterprise
All, MI
As a Vulnerability Security Engineer at HPE, you will be responsible for identifying, prioritizing, and driving remediation of security vulnerabilities while leveraging automation and…
Added 36 mins ago
Systems/Software Engineer III
Hewlett Packard Enterprise
Sunnyvale, CA
Designing and integrating software systems running on multiple platform types into overall architecture.
Added 37 mins ago
Senior Cybersecurity Architect (Cloud)
Amentum
Carson City, NV
Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…

Insight Global

Remote AI Application Engineer

Upper Providence, PA, United States

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Job details

Posting language: English
Posted: Oct 31, 2026

Original job description

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.

Skills and Requirements

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.
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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.

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