Senior Software Engineer (Hybrid) - 29300 (copy)

Job Description

Job Description

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.

We are a cutting-edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team to help build foundational AI integration frameworks and agentic platforms.

As a Software Engineer focused on AI Integration, you will be responsible for designing, developing, and implementing the agentic platform for our proprietary Data Lake tool, JCRSD. This role is primarily focused on Python-based components and requires strong container orchestration skills to ensure seamless deployment.

This role is not focused on training foundational AI models from scratch. Instead, you will take industry best practices, open-source capabilities, and large language models (LLMs), and build a secure, scalable framework that allows our platform to seamlessly leverage AI. You will build Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and coordinate with disparate internal teams to expose their APIs to our autonomous agents. If you are a self-motivated, creative software engineer who loves Python, Kubernetes, and treating AI as a complex software integration problem, we would love to hear from you.

Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

• Design and develop Python-based components for our core agentic platform.
• Deploy, manage, and scale applications within Kubernetes (K8s) environments efficiently right out of the gate.
• Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI agents to safely interact with internal databases, microservices, and external APIs.
• Collaborate with cross-functional teams to help them expose their Java-based APIs to our AI agents.
• Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation to meet stringent security requirements.
• Maintain an inquisitive nature, responsiveness, and excellent testing skills (including automated testing pipelines for non-deterministic AI outputs).
• Possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines in a fast-paced, small-business environment.
• Seamlessly transition between hands-on execution and team guidance, treating mentorship and team leadership as inherent components of senior-level impact.
• Other duties as assigned. 

• Clearance Requirement: Must obtain and maintain a U.S. Government Security Clearance, but not required on day one; U.S. Citizenship required.
• 9 years of experience in Software Engineering, with a strong focus on Python backend development and a Bachelors in related field; 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience.
• Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.

• Kubernetes Proficiency: Demonstrated, hands-on experience deploying and managing containerized workloads in Kubernetes (K8s).
• Applied AI Experience: Hands-on experience integrating commercial LLM APIs (e.g., OpenAI, Anthropic) or open-source models into production backend applications.
• AI Concepts: Demonstrated understanding of modern applied AI concepts such as prompt engineering, agents, function-calling/tool-use, and Retrieval-Augmented Generation (RAG).
• Experience in designing enterprise APIs, RESTful web services, and Microservices architecture.
• Experience with configuration management tools (e.g., Git, CI/CD pipelines, Docker).
• Comfortable working on a Linux command line.
• Demonstrated experience serving as a tech lead, mentor, or manager for engineering teams.

• Current Clearances: Active Secret or Top Secret clearances are a strong plus.
• Java Interoperability (Plus): Familiarity with Java frameworks (e.g., Spring) or Java-based software capabilities to assist disparate teams in connecting their components to the agent platform.
• Familiarity with Python-based AI integration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen).
• Experience with Vector Databases, semantic caching, and AI observability tools.
• Experience with NiFi, Kafka, and cloud-based infrastructure (AWS, Azure).
• Experience in SQL databases (e.g., Postgres, MySQL), distributed databases, or NoSQL databases.
• Prior experience or familiarity with Big Data Platforms or Data Lake architectures.

• Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. 

Additional benefits include:

• Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:

• A Choice of Medical Plan Options, some with Health Savings Account (HSA)
• Vision and Dental
• Life and AD&D Benefits
• Short and Long-Term Disability
• Hospital Indemnity, Accident, and Critical Illness Insurances
• Optional Identity Theft and Legal Protection Services

• Employee Referral Bonus Eligibility up to $10,000 
• Mobility Among Wyetech-supported Contracts 
• Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
• Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. 
• Employees receive two complementary branded clothing orders annually.

Pay Range: $52.46 - $139.92 per hour*

Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 

Affirmative Action Statement:

Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.

Accommodations:

Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or View email address on ziprecruiter.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.