Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
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Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are seeking a CQV Engineer to support change control and deviation management activities. This role will play a critical part in maintaining compliance, supporting quality systems, and ensuring manufacturing changes are properly assessed, documented, and executed in a regulated cGMP environment.

The ideal candidate will have hands-on experience in change management, deviation investigations, and CQV lifecycle support within pharmaceutical or medical device manufacturing.

Validation Engineer / CQV Engineer Responsibilities:

Change Control Management

• Author, review, and manage change controls impacting systems, equipment, and processes
• Perform impact assessments, including evaluation of product quality, validated state, and regulatory impact
• Collaborate with cross-functional teams (Engineering, Quality, Validation, Manufacturing) to ensure timely and compliant change implementation
• Support execution of change control deliverables, including updates to validation documentation (IQ/OQ/PQ, protocols, reports)

Deviation Management

• Lead and support deviation investigations, including root cause analysis and corrective/preventive actions (CAPAs)
• Ensure deviations are thoroughly documented, investigated, and closed within required timelines
• Partner with Quality teams to ensure compliance with internal procedures and regulatory expectations

CQV & Compliance Support

• Maintain alignment with cGMP and Good Documentation Practices (GDP)
• Support validation impact assessments and execution activities related to changes
• Review and approve validation and technical documentation as required
• Participate in audits and inspections, providing SME support for change control and deviation processes

Cross-Functional Collaboration

• Interface with Manufacturing, Quality Assurance, Automation, and Engineering teams 
• Support continuous improvement initiatives related to quality systems and CQV processes
• Communicate project status, risks, and issues to stakeholders

Requirements:

• Bachelor’s degree in Engineering, Life Sciences, or related field
• 3+ years of experience in CQV, Validation, or Quality Engineering in a regulated industry
• Strong experience with:
  • Change control systems
  • Deviation investigations and root cause analysis
  • cGMP and GDP environments
• Familiarity with device assembly/packaging operations is highly preferred
• Experience supporting validation lifecycle activities (IQ/OQ/PQ) is a plus
• Strong technical writing and documentation skills
• Excellent communication and cross-functional collaboration abilities
• Onsite job requirement in Indianapolis, IN

Systems Engineer Responsibilities:

• Requirements & Traceability: Solicit, manage, and document stakeholder needs and requirements across constituent systems; perform requirements analysis, development, allocation, and management; create and maintain traceability from requirements (including system risk) to system verification and validation; manage requirements flow-down and interface requirements between constituent systems.
• Integration & Verification: Develop and document system test strategies; lead system integration, verification, and validation activities across constituent systems; participate in design reviews and contribute SE deliverables aligned with regulations and standards.
• System Design & Architecture: Develop and document system architecture including concept trade-offs, functional analysis, and interface definitions; apply systems thinking to understand how constituent systems interact within the broader product ecosystem; define and manage system boundaries and interfaces between constituent systems.
• Risk Management: Support system-level hazard identification and participate in risk identification, assessment, and management activities; collaborate on risk documentation and maintaining risk management files; apply hazard analysis techniques (FTA, FMEA) to support product safety throughout the development lifecycle.
• Continuous Improvement & Quality: Participate in the systems engineering community of practice to stay current with tools, techniques, and regulatory expectations; drive continuous process improvement focused on SE-related processes and tools; proactively identify and communicate quality issues.

Requirements:

• Bachelor’s degree in an engineering field with 5+ years of relevant experience
• Demonstrated experience creating systems engineering work products (e.g. stakeholder requirements document, system requirements document, V&V matrices, etc)
• Proficiency with requirements management
• Strong technical writing skills for protocols, reports, and regulatory submissions
• Experience with drug delivery devices (autoinjectors, pen injectors, wearables, inhalers) or combination products
• Knowledge of ISO 14971 (risk management), ISO 13485 (quality management), and FDA 21 CFR Part 820 (design controls)
• Experience with hazard analysis techniques (FTA, FMEA) and risk management activities
• Qualified candidates must be legally authorized to be employed in the United States
• Onsite job requirement in Indianapolis, IN

About E-gineering 

E-gineering (EG) is a 100% employee-owned software consulting company based in Indianapolis, Indiana, founded in 2000. True consulting is about serving people with integrity, excellence, and a genuine heart. We stand behind our work, always do what's right, and are willing to take risks to uphold our values. 

Why Join Us? 

Work-Life Balance: We maintain a strict 40-hour work week. Your personal life matters as much as your professional one. 

Award-Winning Culture: For over 13 years, we've been named one of the Best Places to Work in Indiana, consistently ranking in the top 3. 

Grace in Tough Times: Life happens. When it does, we offer grace and flexibility so you can focus on what matters most—yourself and your family. 

Position Overview 

Title: Senior AI Engineer  

Type: W-2 Employment  

Location: Indianapolis, IN (on-site)

Relocation: Not offered

Work Authorization: Must be authorized to work in the United States without sponsorship, as E-gineering does not provide employment sponsorship now and in the future.

The Role 

We're looking for a customer-centric Senior AI Engineer to join our Team. This is a hands-on engineering role focused on designing, building, and delivering LLM-powered capabilities within client applications. You'll work across the full lifecycle of AI-enabled solutions—from proof of concept through production—while contributing to the growth of AI engineering practices across E-gineering. 

What You'll Do 

AI Solution Engineering 

You'll design and implement LLM-powered features and systems within client applications. This includes building and optimizing RAG pipelines, designing and orchestrating agentic workflows, integrating tool use and external services via protocols such as MCP, and selecting the right models and architectures for the task. You should be comfortable working across the stack—connecting LLM capabilities to real application code, APIs, data stores, and user experiences. 

Evaluations and Quality 

Shipping AI features responsibly means knowing whether they actually work. You'll design and implement evaluation frameworks to measure LLM output quality, build regression and benchmark suites, and establish feedback loops that drive iteration. You should bring an engineering mindset to a space where "it seems to work" isn't good enough. 

Client Delivery 

As a consultant, you'll be embedded on client teams to deliver AI-powered solutions. This means understanding client business problems, translating them into technical approaches, and building production-quality software. You should be comfortable leading technical discussions, participating in discovery and pre-sales conversations, and mentoring client and E-gineering developers on AI engineering practices as part of delivery. 

Data Readiness 

Production AI systems are only as good as the data behind them. You'll assess client data readiness during discovery, design and build data ingestion and processing pipelines for AI systems, and ensure solutions operate within client governance frameworks. This includes working with sensitive and regulated data, understanding data lineage and access controls, and making sound decisions about what data flows where—particularly when third-party model APIs are involved. 

Internal Capability Building 

You'll contribute to E-gineering's growing AI engineering practice by sharing what you learn in the field—whether that's reusable patterns, starter kits, evaluation tooling, or lessons learned. You'll help teammates level up through pairing, code reviews, and informal knowledge sharing. 

What We're Looking For 

Must-Have Qualifications 

• Must reside in the Greater Indianapolis area and can work on-site regularly (this role is not open to fully remote or relocating candidates)
• 5+ years of experience as a Software Engineer, with strong fundamentals in at least one modern language and ecosystem 

• 1+ years of hands-on experience building LLM-powered applications (RAG, agents, tool use, prompt engineering—not just using chat interfaces) 

• Practical experience with agent frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) and orchestration patterns 

• Experience designing and implementing evaluation strategies for LLM systems 

• Solid understanding of API design, data pipelines, and cloud infrastructure as they relate to AI-enabled applications 

• "We" mentality coupled with a servant leadership mindset 

• Excellent communication skills for both technical and non-technical audiences 

Preferred Skills 

• Experience with MCP (Model Context Protocol) or similar tool-integration patterns 

• Familiarity with vector databases and embedding strategies for retrieval systems 

• Experience with model fine-tuning or distillation 

• Exposure to practices outlined in resources like AI Engineering by Chip Huyen 

• History of conference speaking or technical writing 

• Experience with data engineering or data science workflows 

• Contributions to open-source AI tooling or frameworks 

Barbaricum is seeking a Senior Network Engineer III to design, implement, and maintain complex network architectures supporting mission operations. The candidate will provide technical leadership in network engineering and ensure the reliability, performance, and security of enterprise network environments. Supports exercises in the Greater Indiana Area with 10–25% travel between Camp Atterbury and Muscatatuck Training Center.

 
Responsibilities:
•    Design and implement enterprise network architectures.
•    Configure and maintain routing, switching, and network security technologies.
•    Monitor network performance and troubleshoot complex network issues.
•    Implement network security controls and ensure compliance with security standards.
•    Provide technical guidance to network engineering teams.
•    Develop network documentation and architecture diagrams.

Required Qualifications:
•    Secret (or otherwise) pending clearance verification
•    Bachelor’s degree in computer science, information technology, or related field.
•    Extensive experience designing and supporting enterprise network infrastructures.
•    Strong knowledge of routing, switching, and network protocols.
•    Experience troubleshooting complex network environments.

Preferred Qualifications:
•    Professional networking certifications (CCNP, CCIE, or equivalent).
•    Experience supporting mission-critical or government network environments in the Greater Indianapolis area.
•    Experience with network automation or software-defined networking.