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Applied Technology Jobs in Kansas (NOW HIRING)

$89K - $123K/yr

Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion ... We are looking for a Senior Applied AI Engineer to help build and ship Tango's first AI-powered ...

$89K - $123K/yr

Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion ... We are looking for a Senior Applied AI Engineer to help build and ship Tango's first AI-powered ...

Eligibility Supervisor

Topeka, KS · On-site

$43K - $56K/yr

Applied Technology * Outsourcing and Operations * Strategy * Project and Grants Management * Assessments and Feasibility Studies Duties & Responsibilities * Lead team in reviewing and analyzing Title ...

IT Security Analyst

Topeka, KS · On-site

$97K - $103K/yr

Overview DecisionPoint Corporation is seeking an IT Security Analyst to join our US Air Force team ... Commonly applied telecommunications principles, concepts, and methodologies, operating ...

IT Security Analyst

Topeka, KS · On-site

$97K - $103K/yr

DecisionPoint Corporation is seeking an IT Security Analyst to join our US Air Force team ... Commonly applied telecommunications principles, concepts, and methodologies, operating ...

IT Security Analyst

Topeka, KS · On-site

$97K - $103K/yr

Overview DecisionPoint Corporation is seeking an IT Security Analyst to join our US Air Force team ... Commonly applied telecommunications principles, concepts, and methodologies, operating ...

Showing results 41-60

Applied Technology information

What is an applied technology?

An Applied Technology job involves using practical technical skills and knowledge to solve real-world problems in various industries, such as manufacturing, IT, healthcare, and engineering. Professionals in this field work with emerging technologies, troubleshoot technical issues, and improve processes by integrating innovative tools and systems. These roles often require expertise in automation, computer systems, networking, and equipment maintenance. Careers in Applied Technology can range from technical support specialists to systems analysts and robotics technicians.

What types of projects do professionals in applied technology typically work on?

Applied Technology professionals often work on projects that bridge the gap between technical innovations and real-world business applications, such as implementing automation systems, developing custom software solutions, or optimizing data workflows. Depending on the industry, you might collaborate closely with IT, operations, and engineering teams to tailor technology solutions to meet specific business needs. It’s common to manage multiple projects simultaneously, each with unique goals and timelines. This dynamic and collaborative environment offers opportunities for continuous learning and career advancement as you tackle diverse technical challenges.

What are the key skills and qualifications needed to thrive in the applied technology position, and why are they important?

To thrive in an Applied Technology role, you need a solid foundation in computer science, engineering principles, and problem-solving, often supported by a relevant bachelor’s degree. Familiarity with software development tools, data analytics platforms, and industry-specific systems or certifications is commonly required. Strong communication, project management, and adaptability are key soft skills that enable effective collaboration with multidisciplinary teams and stakeholders. These skills are essential for integrating innovative technologies into practical solutions that support organizational goals.

What jobs can you get with applied technology?

Applied technology skills can lead to jobs such as systems analyst, technical support specialist, IT project manager, network administrator, and software developer. These roles often require knowledge of programming, networking, and technical problem-solving, and may involve working in office or lab environments with certifications like CompTIA or Cisco. Job opportunities span industries including healthcare, manufacturing, and information technology.

What are popular job titles related to Applied Technology jobs in Kansas?

For Applied Technology jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Applied Technology jobs in Kansas look for?

The top searched job categories for Applied Technology jobs in Kansas are:

Infographic showing various Applied Technology job openings in Kansas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Senior Applied AI Engineer

On-site

$89K - $123K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Key responsibilities

  • Design, build, and ship production AI agents on LangGraph, including graph design, tool definitions, prompt engineering, and managing execution, failure, and cost considerations.

  • Contribute to the evaluation, quality, and safety of AI agents by creating datasets, diagnosing failures, and implementing safety behaviors such as prompt-injection resistance and PII handling.

  • Collaborate with cross-functional teams including Product, Engineering, and Data Platform to translate requirements into shipped AI capabilities, deploy agents, and monitor performance.


Job description

Let's Tango. Where Innovation Meets Impact. At Tango Analytics, we're all about helping businesses make smarter decisions through powerful technology, insightful data, and a whole lot of collaboration.

Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion, there's a place for you on our team. We believe work should be meaningful and fun - so if you're ready to make a difference while enjoying the journey, come join us and let's Tango. Role Summary: We are looking for a Senior Applied AI Engineer to help build and ship Tango's first AI-powered product, marking an important next chapter after 18 years as an industry leader in real estate technology.

In this highly hands-on role, you will turn advances in generative AI and machine learning into reliable, production-ready capabilities that solve meaningful problems for our customers. You'll work closely with Product, Engineering, and domain experts to identify high-value use cases, rapidly prototype solutions, evaluate approaches, and take the best ideas all the way into production. This is an opportunity to help establish how AI is built and applied at Tango from the ground up.

You'll influence technical architecture, engineering standards, evaluation practices, and product strategy while tackling complex, data-rich workflows across corporate real estate, workplace management, lease administration, and retail location management. Key Responsibilities: Agent Design & Delivery Design, build, and ship production AI agents on LangGraph, keeping the agent layer portable across cloud platforms. Own agents end to end: graph design, tool definitions, prompt and context engineering, durable execution, failure and retry behavior, and cost and latency budgets.

Build agent tooling against internal systems over MCP, using direct API calls where those are the better fit, and agent-to-agent interfaces as agents begin to compose. Deliver human-in-the-loop review flows, including interrupt points, confidence surfacing, and the correction paths that let a customer review and override agent output. Build and tune retrieval, covering chunking, hybrid retrieval, grounding, and citation back to source page and paragraph.

Evaluation, Quality & Trust Contribute the evaluations for the agents you ship: golden datasets, LLM-as-judge and deterministic scorers, and regression suites that run in CI, built against the shared evaluation harness the platform provides. Diagnose quality failures to root cause, whether retrieval miss, prompt defect, tool error, model regression, or flawed ground truth, and correct the appropriate layer. Own agent-level safety behavior, including prompt-injection resistance, PII handling, and refusal and escalation paths, applying the platform guardrail service maintained by Platform Engineering.

Cross-Functional Collaboration Partner with Product to translate accuracy thresholds, confidence disclosure, and human-in-the-loop triggers into shipped behavior. Work with Platform Engineering on deployment, and with Data Platform on the curated datasets agents read. Feed curated agent session and usage analytics into the warehouse so agent performance is measurable alongside product analytics.

Transition reference agents to the domain teams that will operate them long-term, and contribute to the shared agent quality standard. Required Skills: 7+ years of professional software engineering experience, including 2+ years building LLM-powered systems that reached production and real users. Strong expertise with Python and its service stack (FastAPI, Pydantic, or equivalents), along with the engineering discipline that supports it: testing, code review, CI/CD, and production ownership.

Production experience with an agent orchestration framework. LangGraph strongly preferred; LangChain, OpenAI or Claude Agents SDKs, or equivalent frameworks considered. Hands-on depth with at least one frontier model API.

Hands-on experience with LLM evaluation: golden datasets, LLM-as-judge and deterministic scorers, regression testing, and using evaluation results to gate releases. This is central to the role. Experience with MCP tool servers or comparable tool and function-calling protocols, and with multi-agent patterns.

Production RAG and retrieval experience, including chunking strategy, hybrid retrieval, grounding, citation, and diagnosing retrieval failures. Experience with LLM observability and tracing (LangSmith, Langfuse, Arize, or equivalent), and with prompt and version management. Sound judgment about failure modes such as hallucination, prompt injection, and silent degradation, with the ability to distinguish acceptable failures from unacceptable ones.

Preferred: Graph-backed agent memory or knowledge graphs (Neo4j or similar). Production vector and hybrid retrieval stores (pgvector, Pinecone, Weaviate, Qdrant). Async task orchestration for long-running document pipelines (Celery/Redis or equivalent).

Document intelligence and information extraction at scale, including OCR, layout-aware parsing, and structured extraction from long documents. What We Offer We're committed to creating an environment where you can thrive-professionally and personally. Our offerings include: Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value.

Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being. Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance. Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.

Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status. Base pay offered is contingent on qualifications and other operational considerations.

Base pay is just one piece of the full compensation structure offered at Tango. If this pay range is outside of your expectations, we still encourage you to apply and have a conversation with us. Base pay offered for this position is: $160,000 - $190,000 *Applicants must be authorized to work in the U.S

for any employer. *We cannot sponsor employment-based visas at this time.