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HomeCompaniesCareers E2zintegral Icims ComAgentic Engineer

Agentic Engineer

Careers E2zintegral Icims Com · Tysons Corner, VA, US · Hybrid · Active · iCIMS

Job facts

FieldValue
CompanyCareers E2zintegral Icims Com
TitleAgentic Engineer
Normalized title-
Department / teamInformation Technology
LocationTysons Corner, VA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS provideriCIMS
Posted / first seen2026-04-01 / 2026-05-31
Changed / last seen2026-06-01 / 2026-06-06

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Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Tysons Corner.Open
Department jobsActive postings in Information Technology.Open
Work model jobsActive Hybrid postings.Open
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Linked records

CompanyCareers E2zintegral Icims Com
Source1e33b429-9e2d-45fe-8495-e6075e3fe6b6
ATS provideriCIMS

Description

Overview Agentic Engineer Location: Tysons Corner, VA (Hybrid) Clearance: None (US Citizenship Required) At Integral Federal, we invest in our people—equipping them with the tools, expertise, and culture of innovation needed to deliver measurable results. Committed to exceeding expectations and delivering mission impact, our team thrives on solving complex challenges, optimizing performance, and ensuring long-term success for our clients. The Role: We are looking for a curious builder to join our team and develop AI Agents. You will design, build, and deploy autonomous agents and LLM-powered applications across AWS, Google Cloud, and Microsoft Azure. We do not require a Master’s degree, a Bachelor’s degree, or any degree at all. We care about your understanding of modern AI architectures and your drive to repetitively solve problems. If you are the type of developer who loves tinkering with multi-agent workflows, experimenting with the Model Context Protocol (MCP), and testing the limits of new foundation models, you belong here. Responsibilities Design and build autonomous AI agents using the latest large language models (LLMs) and orchestration frameworks. Implement and leverage the Model Context Protocol (MCP) to seamlessly connect our AI models with external tools, APIs, and data sources. Move beyond prototypes by building rigorous evaluation (Evals) pipelines and implementing LLM observability to ensure agents run reliably without hallucinating or getting stuck in infinite tool-calling loops. Deploy AI solutions across multi-cloud environments, utilizing the best tools available on AWS, Google Cloud (GCP), and Microsoft Azure. Translate complex, ambiguous problems into functional, robust, production-ready code. Stay plugged into the bleeding edge of the AI landscape, bringing new tools, papers, and open-source projects to the team's attention. Work closely with other engineers to securely and efficiently integrate agentic workflows into our existing infrastructure. Qualifications What You Must Bring (Required): Proof of Capability: Personal projects, GitHub repositories, or open-source contributions demonstrating your ability to build AI apps or agents. (Please include links in your application). LLM & Agent Experience : Hands-on experience working directly with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and building agentic loops (tool calling, memory management, reasoning). Protocol Knowledge: Familiarity with or a strong desire to master the Model Context Protocol (MCP) for tool integration. Cloud Fluency: Experience deploying applications or running experiments on at least one major cloud provider (AWS, GCP, or Azure) and a willingness to learn the others. Builder’s Mindset: An insatiable curiosity, a high tolerance for ambiguity, and the grit to troubleshoot novel problems. Bonus Points (Preferred): Experience fine-tuning models or working with local, open-weight models. Experience testing models to create a baseline and identify drift Experience building custom tools, robust RAG pipelines, or complex data ingestion pipelines from scratch. Company Overview Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward-leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure. Integral is headquartered in McLean, VA and serves clients throughout the country. We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Give us a try and become part of a curated group of professionals at Integral Federal! Our package also includes: · Medical, Dental & Vision Insurance · Flexible Spending Accounts · Short-Term and Long-Term Disability Insurance · Life Insurance · Paid Time Off & Holidays · Earned Bonuses & Awards · Professional Training Reimbursement · Employee Assistance Program Equal Opportunity Employer/Protected Veteran/Disability

Full job record

Job ID2a0b0b6099af31cbf9ed5cdc4362bc6d32db2caf
Org ID28469ef0-ecf1-4e99-8a81-a0049c7c487d
Source ID1e33b429-9e2d-45fe-8495-e6075e3fe6b6
Board ID1e33b429-9e2d-45fe-8495-e6075e3fe6b6
Providericims
Provider Job Key5268
TitleAgentic Engineer
Normalized Title
Statusactive
Activeyes
Location TextTysons Corner, VA, US
DepartmentInformation Technology
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionVA
CityTysons Corner
Salary RawOverview Agentic Engineer Location: Tysons Corner, VA (Hybrid) Clearance: None (US Citizenship Required) At Integral Federal, we invest in our people—equipping them with the tools, expertise, and culture of innovation needed to deliver measurable results. Committed to exceeding expectations and delivering mission impact, our team thrives on solving complex challenges, optimizing performance, and ensuring long-term success for our clients. The Role: We are looking for a curious builder to join our team and develop AI Agents. You will design, build, and deploy autonomous agents and LLM-powered applications across AWS, Google Cloud, and Microsoft Azure. We do not require a Master’s degree, a Bachelor’s degree, or any degree at all. We care about your understanding of modern AI architectures and your drive to repetitively solve problems. If you are the type of developer who loves tinkering with multi-agent workflows, experimenting with the Model Context Protocol (MCP), and testing the limits of new foundation models, you belong here. Responsibilities Design and build autonomous AI agents using the latest large language models (LLMs) and orchestration frameworks. Implement and leverage the Model Context Protocol (MCP) to seamlessly connect our AI models with external tools, APIs, and data sources. Move beyond prototypes by building rigorous evaluation (Evals) pipelines and implementing LLM observability to ensure agents run reliably without hallucinating or getting stuck in infinite tool-calling loops. Deploy AI solutions across multi-cloud environments, utilizing the best tools available on AWS, Google Cloud (GCP), and Microsoft Azure. Translate complex, ambiguous problems into functional, robust, production-ready code. Stay plugged into the bleeding edge of the AI landscape, bringing new tools, papers, and open-source projects to the team's attention. Work closely with other engineers to securely and efficiently integrate agentic workflows into our existing infrastructure. Qualifications What You Must Bring (Required): Proof of Capability: Personal projects, GitHub repositories, or open-source contributions demonstrating your ability to build AI apps or agents. (Please include links in your application). LLM & Agent Experience : Hands-on experience working directly with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and building agentic loops (tool calling, memory management, reasoning). Protocol Knowledge: Familiarity with or a strong desire to master the Model Context Protocol (MCP) for tool integration. Cloud Fluency: Experience deploying applications or running experiments on at least one major cloud provider (AWS, GCP, or Azure) and a willingness to learn the others. Builder’s Mindset: An insatiable curiosity, a high tolerance for ambiguity, and the grit to troubleshoot novel problems. Bonus Points (Preferred): Experience fine-tuning models or working with local, open-weight models. Experience testing models to create a baseline and identify drift Experience building custom tools, robust RAG pipelines, or complex data ingestion pipelines from scratch. Company Overview Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward-leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure. Integral is headquartered in McLean, VA and serves clients throughout the country. We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Give us a try and become part of a curated group of professionals at Integral Federal! Our package also includes: · Medical, Dental & Vision Insurance · Flexible Spending Accounts · Short-Term and Long-Term Disability Insurance · Life Insurance · Paid Time Off & Holidays · Earned Bonuses & Awards · Professional Training Reimbursement · Employee Assistance Program Equal Opportunity Employer/Protected Veteran/Disability
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://careers-integralfed.icims.com/jobs/5268/agentic-engineer/job
Apply URLhttps://careers-integralfed.icims.com/jobs/5268/agentic-engineer/job
First Seen At2026-05-31 18:36:35Z
Last Seen At2026-06-06 19:36:57Z
Last Checked At2026-06-06 19:36:57Z
Last Changed At2026-06-01 13:31:05Z
Inactive At
Source Posted At2026-04-01 04:00:00Z
Source Updated At2026-04-02 18:59:48Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-e2zintegral.icims.com/date=2026-06-06/2026-06-06T19-36-54-075Z-2964a564c17884c3adced56bb808a94e044ba5379db88201c80e8ff29f19569f.json
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