ai software engineer

NetSage

<div><p>At NetSage, we are more than a government contractor&mdash;we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our <b>Careers </b>page.</p>
<p>
Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our <b>Get In Touch</b> page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact.</p>
<p><b>
Job Description:</b></p>
<p>
We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence analysis and operational decision-making. In this role, you will lead the development and operationalization of advanced AI-enabled applications integrating machine learning, large language models (LLMs), and modern software engineering practices to automate complex workflows and deliver mission-focused capabilities. The ideal candidate for this position will possess deep expertise in AI/ML technologies, software architecture, and cloud-native application development, with a proven ability to translate emerging technologies into scalable, operational solutions. Please consider applying if you meet the following qualifications.</p>
<p><b>
Required Qualifications:</b></p>
<ul>
<li>TS/SCI with polygraph security clearance.</li>
<li>A Bachelor of Science (B.S.) degree in Computer Science or a related field and eleven (11) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and seven (7) years, a Master of Science (M.S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of relevant experience.</li>
<li>Proficiency with object-oriented languages like Java and Python.</li>
<li>Experience designing and developing AI/ML applications using modern software engineering methodologies.</li>
<li>Experience working with LLMs and generative AI technologies.</li>
<li>Experience with modern deep learning architectures, including deep neural networks (DNNs), recurrent neural networks (RNNs), and attention-based architectures.</li>
<li>Experience with ML techniques, including classification, clustering, collaborative filtering, semantic search, and information retrieval.</li>
<li>Experience using Jupyter Notebooks.</li>
</ul>
<p><b>Desired Qualifications:</b></p>
<ul>
<li>Experience implementing retrieval-augmented generation (RAG), Model Context Protocol (MCP), and AI agent frameworks.</li>
<li>Experience designing autonomous or agentic AI systems.</li>
<li>Strong understanding of statistical modeling, probability theory, Bayesian inference, covariance analysis, and machine learning fundamentals.</li></ul></div>

AI Software Engineer-Principal

TCP Software

<div><p>TCP is committed to cultivating a diverse and inclusive team. However, we are not able to sponsor visas for this role.</p><p></p><p><b>
About TCP (TimeClock Plus):</b></p><p>
For more than 30 years, TCP has helped organizations engage their people by providing flexible, mobile timekeeping and workforce management solutions. Trusted by tens of thousands of customers and millions of users, TCP delivers best-in-class technology and personalized support to organizations of all sizes in the public and private sector to meet their complex timekeeping, employee scheduling, leave management and other workforce needs. Growth is happening and our vision for a successful future is clear &ndash; We&rsquo;d love for you to join us on this journey! For more information on TCP, visit www.tcpsoftware.com or follow us on LinkedIn or Facebook.</p><p></p><p><b>
As an Agentic AI Software Engineer you will:
</b></p><ul><li>Design, build, and ship agentic AI features end to end, from detection and decision logic through safe action execution, in a cross-functional agile environment</li><li>
Ground agent behavior in deterministic rules engines and governed data so every agent explains its reasoning and never acts outside permitted boundaries</li><li>
Build and operate the LLM layer, including prompt architecture, structured outputs, confidence scoring, timeouts, and rules-only fallback paths</li><li>
Implement safe patterns for agent actions, including idempotent operations, undo windows, retries with backoff, and immutable audit logging</li><li>
Develop statistical detection and baseline logic that turns workforce data into ranked, explainable findings with business impact attached</li><li>
Manage inference cost, latency, and model selection from development through production</li><li>
Partner with QA on evaluation suites, shadow-mode rollouts, and the trust metrics that gate every agent capability, and mentor junior engineers along the way</li><li>
Operate independently, setting priorities and goals while continuing to learn and grow technically</li></ul><p></p><p><b>
Our Technology Stack:</b></p><ul><li>
Backend: C# on modern .NET and .NET Framework in a multi-tier service architecture.</li><li>
Frontend: JavaScript and AngularJS, with Jasmine unit tests.</li><li>
Database: Microsoft SQL Server, including schema projects and idempotent migration scripts.</li><li>
Delivery: Docker, Jenkins CI/CD, and cloud-hosted deployment.</li></ul><p><b>
Requirements</b></p><ul><li>
6+ years of professional software development experience, including shipping LLM-backed or agentic features to production.</li><li>
Deep production experience with C#/.NET, SQL Server, and API design in systems where correctness has financial consequences, such as payroll, billing, or banking.</li><li>
Experience integrating LLM APIs into enterprise applications, with structured outputs, retrieval grounding, and evaluation-driven iteration.</li><li>
Working fluency with statistical techniques on time-series data, such as rolling baselines, outlier detection, and threshold tuning.</li><li>
The ability to understand requirements and solve technical issues without supervision, serving as a technical lead.</li></ul><p></p><p><b>
AI Experience Requirements:</b></p><ul><li>
Hands-on daily use of AI coding assistants or agentic tools, such as Claude Code, GitHub Copilot, or Cursor.</li><li>
Production experience with LLM APIs, MCP servers, or internal AI tooling.</li><li>
An understanding of human-in-the-loop agent design and write-capable AI.</li><li>
A clear understanding of LLM failure modes, including hallucination, prompt injection, and cost overrun, plus the limits and risks of AI-generated code.</li><li>
Preferred: experience with multi-agent orchestration, evaluation harness design, or statistical anomaly detection.</li></ul><p></p><p><b>
Physical Requirements:</b></p><ul><li>
Prolonged periods sitting at a desk and working on a computer.</li><li>
Must be able to lift up to 15 pounds at times.</li></ul><p><b>
Benefits</b></p><ul><li>
Competitive salary
</li><li>20 Days of PTO (Paid Time Off) and 13 days of companywide holidays</li><li>
8 hours to volunteer and impact the community</li><li>
Comprehensive benefits (Health/Dental/Vision/ 401K)</li><li>
Employee Choice Pre-Tax Benefit</li></ul><p></p><p>
TCP is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</p></div>

Agentic AI Software Engineer United States

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Client is building its enterprise GenAI capability across two closely partnered organizations: the GenAI Platform &amp; Enablement organization (governed AI gateway on Azure API Management, model access via Azure AI Foundry today with a deliberately venue-agnostic design, model integrations, retrieval services, environments, observability) and the Developer Experience organization (SDLC automation and tooling, quality engineering and test data management, site reliability engineering). Because the engineering foundations overlap heavily, all Software Engineer III openings across both organizations are filled through this single posting: candidates are evaluated once against a common engineering bar, then routed to the track and team where their depth fits best.
<br>
<br>
Every seat is hands-on. Engineers design, build, test, document, and operate; FTE seats additionally carry track ownership, contractor review, and production deployment under the bank&rsquo;s controlled-change model, while contractor seats (18 months, extension possible, contract-to-hire in intent) carry the front-loaded build with capability transfer written in.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default.
</p></div><div><p>Leverage GenAI capabilities in your own engineering workflow &mdash; coding assistants, agent-based automation, AI-assisted testing and debugging &mdash; to accelerate delivery, including SDLC automation opportunities.
</p></div><div><p>Work within the bank&rsquo;s SDLC gates, security standards, and separation-of-duties model; produce the artifacts and evidence each gate requires.
</p></div><div><p>Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences.
</p></div><div><p>Pair for capability transfer &mdash; FTEs with contractor counterparts, contractors with FTE track owners &mdash; so knowledge stays when engagements end.
</p></div><div><p>Participate in support rotations for live workloads with incident triage and root-cause discipline.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>SE III (61 IC): Associate&rsquo;s + 7 years or Bachelor&rsquo;s + 5 years systems analysis/application development experience (or combined 9 years). SE II (60 IC): Associate&rsquo;s + 5 years or Bachelor&rsquo;s + 3 years equivalent experience (or combined 7 years).
</p></div><div><p>Strong software engineering fundamentals: architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support.
</p></div><div><p>Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation).
</p></div><div><p>Hands-on Azure experience relevant to the target track (e.g., APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling) &mdash; current stack is Azure AI Foundry + APIM, with the platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex, direct provider APIs) without rework.
</p></div><div><p>Experience delivering and operating production systems in a controlled-change environment.
</p></div><div><p>Strong communication, collaboration, documentation, and stakeholder engagement skills.
</p></div></div><p>Nice to have
</p><div><div><p>Demonstrated depth in one or more tracks above &mdash; candidates are routed by strongest track fit across both organizations.
</p></div><div><p>Financial services or other highly regulated industry experience; familiarity with audit-evidence expectations.
</p></div><div><p>Experience with GitLab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling.
</p></div><div><p>Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote United States, United States of America
</p></div><p>Req. VR-124264
</p></div><div></div><div><div><p>Information Governance (Platform)
</p></div><div><p>BCM Industry</p>
</div><div><p>30/07/2026
</p></div><div><p>Req. VR-124264</p></div></div></div><p></p>

AI & Platform Software Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience with software development in one or more programming languages.</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization , data processing, debugging).</li>
<li>Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.<br>
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role.</li>
<li>Experience developing accessible technologies.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li>
<li>Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior AI Software Engineer, Gemini Enterprise, Agent Designer

SpaceX

<div><div><p>SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.</p></div><p><b>
APPLICATION SOFTWARE ENGINEER, APPLIED AI</b></p>
<p>
The application software team is the central nervous system of SpaceX &ndash; we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.</p>
<p>
In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems&mdash;including large language models and agentic systems&mdash;that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands-on experience evaluating, deploying, and integrating AI solutions into real production systems.</p>
<p>
Aerospace experience is not required &ndash; rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.</p>
<p><b>
RESPONSIBILITIES:</b></p>
<ul>
<li>Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations</li>
<li>Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities</li>
<li>Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production</li>
<li>Deep dive into users' problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions</li>
<li>Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment</li>
<li>Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost</li>
<li>Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs</li>
</ul>
<p><b>BASIC QUALIFICATIONS:</b></p>
<ul>
<li>Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree</li>
<li>1+ years of experience in full stack development</li>
</ul>
<p><b>PREFERRED SKILLS AND EXPERIENCE:</b></p>
<ul>
<li>Hands-on experience evaluating, deploying, and integrating AI models into production systems</li>
<li>Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features</li>
<li>Proven track record of shipping real-world AI products from prototype through production deployment and iteration</li>
<li>Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs</li>
<li>Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)</li>
<li>Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment</li>
<li>Previous experience in AI product design, development, integration, testing, and productionization</li>
<li>Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code</li>
<li>Programming experience in Python, C#.NET, Go, Scala, Java, or similar</li>
<li>Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)</li>
<li>Front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)</li>
<li>Demonstrated ability to stay current with rapidly evolving AI technologies and best practices</li>
<li>Ability to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environment</li>
</ul>
<p><b>ADDITIONAL REQUIREMENTS:</b></p>
<ul>
<li>You may be asked to work extended hours/weekends dependent on launch cadence</li>
<li>This role requires you to be onsite. Remote and/or hybrid work will not be considered</li>
<li>Ability to pass Air Force background check for Cape Canaveral</li>
</ul><div><p><b>
ITAR REQUIREMENTS:</b></p>
<ul>
<li>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. &sect; 1157, or (iv) Asylee under 8 U.S.C. &sect; 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.</li>
</ul>
<p>SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.</p>
<p>
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com<i>.</i></p></div></div>

Application Software Engineer, Applied AI

RealPage Inc

<div>Overview:
<p>
RealPage is accelerating the adoption of Generative AI and agentic engineering practices across its technology organization. The Internal AI Center of Excellence is responsible for enabling engineering teams to apply AI effectively, safely, and consistently across the software development lifecycle.</p><p>
We are seeking an <b>AI Developer IV</b> to help design, build, and scale internal AI solutions that improve engineering productivity, accelerate delivery, and support RealPage&rsquo;s AI adoption goals. This role will focus on developing reusable AI patterns, agentic workflows, internal developer tools, reference implementations, and enablement assets that help engineering teams move from experimentation to repeatable production use.</p><p>
The ideal candidate is a hands-on AI engineer with strong software development experience, practical knowledge of LLMs and agentic systems, and the ability to partner with engineering teams to turn AI concepts into usable internal capabilities.</p>
Responsibilities:
<ul><li><b>Internal AI Solution Development</b></li></ul><p>
Design and build internal AI solutions that support engineering productivity and software delivery, including:</p><ul><li>
AI-powered developer workflows and assistants</li><li>
Agentic SDLC automation patterns</li><li>
Internal tools for code analysis, documentation, testing, migration, and engineering support</li><li>
Reusable prompt, tool-calling, and workflow patterns</li><li>
Reference implementations that can be adopted by engineering teams</li></ul><p>
Develop solutions that are practical, scalable, maintainable, and aligned with RealPage engineering standards.</p><ul><li><b>
Agentic Workflow and Platform Enablement</b></li></ul><p>
Build reusable capabilities that help teams adopt AI consistently across the organization, including:</p><ul><li>
Multi-step agentic workflows</li><li>
Tool-calling and orchestration patterns</li><li>
RAG-based internal knowledge solutions</li><li>
Shared SDKs, templates, and integration examples</li><li>
Reusable components for copilots, agents, and AI-enabled engineering workflows</li></ul><p>
Partner with senior architects and engineering leaders to establish patterns that can scale beyond one team or use case.</p><ul><li><b>
Engineering Team Enablement</b></li></ul><p>
Work directly with engineering teams, champions, and internal stakeholders to help them adopt AI effectively.</p><p>
Responsibilities include:</p><ul><li>
Pairing with teams on AI use cases and implementation patterns</li><li>
Providing technical guidance on LLM, RAG, and agentic workflow design</li><li>
Supporting proof-of-concept efforts and helping mature them into repeatable practices</li></ul><ul><li>
Creating playbooks, examples, templates, and documentation for internal engineering use</li><li>
Participating in office hours, workshops, and AI enablement sessions</li><li><b>
AI Evaluation, Quality, and Responsible Use</b></li></ul><p>
Help define and apply practical evaluation and governance practices for internal AI solutions, including:</p><ul><li>
Prompt and workflow evaluation</li><li>
Accuracy, relevance, and usefulness testing</li><li>
Safety and responsible AI considerations</li><li>
PII and sensitive-data handling</li><li>
Logging, observability, and feedback loops</li><li>
Human-in-the-loop review patterns where appropriate</li></ul><p>
Ensure internal AI solutions are developed with quality, security, privacy, and reliability in mind.</p><ul><li><b>
Delivery and Cross-Functional Collaboration</b></li></ul><p>
Partner with engineering leadership, product teams, architecture, security, and other stakeholders to identify and deliver high-impact AI use cases.</p><p>
Responsibilities include:</p><ul><li>
Translating engineering productivity needs into AI-enabled solutions</li><li>
Supporting roadmap-aligned internal AI initiatives</li><li>
Contributing to adoption and capacity-improvement goals</li></ul><ul><li>
Helping measure the impact of AI enablement efforts</li><li>
Communicating technical concepts clearly to engineering and non-engineering audiences</li><li><b>
Performance, Reliability, and Cost Awareness</b></li></ul><p>
Design AI solutions with practical performance and cost considerations, including:</p><ul><li>
Model selection and routing</li><li>
Prompt and context optimization</li><li>
Caching and retrieval efficiency</li><li>
Latency and reliability considerations</li><li>
Build-vs-buy recommendations</li><li>
Avoidance of vendor lock-in where practical</li></ul>
Qualifications:
<ul><li>Typically <b>6+ years of software engineering experience</b>, with meaningful hands-on experience building production applications or internal platforms.</li><li><b>
2+ years of applied AI, LLM, Generative AI, or agentic workflow experience</b>.</li><li>
Strong programming experience in <b>Python</b>, <b>TypeScript/JavaScript</b>, or similar production languages.</li><li>
Experience designing and building cloud-native applications or services in <b>Azure, GCP, or AWS</b>.</li><li>
Practical experience with:</li><li>
LLM-based application development</li><li>
Prompt engineering and prompt versioning</li><li>
Tool calling / function calling</li><li>
RAG architectures</li><li>
Vector databases or semantic retrieval</li><li>
Multi-step workflow or agent orchestration</li><li>
Familiarity with modern software engineering practices, including:</li><li>
CI/CD</li><li>
Git-based development</li><li>
Automated testing</li><li>
API design</li><li>
Observability and logging</li><li>
Experience using or enabling AI coding tools such as <b>GitHub Copilot, Cursor, Windsurf, Codex, or similar tools</b>.</li></ul><ul><li>
Ability to work directly with engineering teams to understand needs, prototype solutions, and drive adoption.</li><li>
Strong communication skills with the ability to explain AI concepts and implementation patterns clearly.</li></ul><div></div><p><b><br>
Nice-to-Have Skills / Abilities</b></p><ul><li>
Experience building internal developer platforms, engineering productivity tools, or enablement frameworks.</li><li>
Experience with agent frameworks or orchestration tools such as <b>LangGraph</b><b>, OpenAI Agents SDK, Google ADK, Semantic Kernel, </b><b>CrewAI</b><b>, or similar frameworks</b>.</li><li>
Experience with evaluation frameworks such as <b>OpenAI Evals, </b><b>LangSmith</b><b> Evals, RAGAS, or custom evaluation harnesses</b>.</li><li>
Experience with browser automation or workflow automation tools such as <b>Playwright</b>.</li><li>
Experience with knowledge management, internal documentation systems, or enterprise search.</li><li>
Experience working in environments with privacy, compliance, or regulated-data considerations.</li><li>
Background in enterprise software, PropTech, fintech, or other complex business domains.</li><li>
Experience supporting AI adoption programs, engineering champions, office hours, or internal technical enablement. #LI-JK1</li></ul><div></div><div><b><i><br>
SALARY AND BENEFITS</i></b></div><ul><li><i>
RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:</i></li><li><i>
Health, dental, and vision insurance.</i></li><li><i>
Retirement savings plan with company match.</i></li><li><i>
Paid time off and holidays.</i></li><li><i>
Professional development opportunities.</i></li><li><i>
Performance-based bonus based on position. </i><i>#LI-JK1</i></li></ul><div><i>
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.</i></div><div></div><div><i><br>
Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.</i></div><div></div><p><br>
</p>Pay Range: USD $159,100.00 - USD $270,900.00 /Yr.</div>

Agentic AI Developer IV

Egen Solutions Inc

<div><div><div><b>About Egen:</b></div>
<div></div>
<div>Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.</div>
<div></div>
<div><i>Want to learn more about life at Egen? Check out these resources in addition to the job description.</i></div>
<div></div>
<div>Meet Egen</div>
<div>Life at Egen</div>
<div>Culture and Values at Egen</div>
<div>Career Development at Egen</div>
<div>Benefits at Egen</div>
<div></div>
<div><b>About the opportunity:
</b></div><div><p>As a Lead AI Engineer, you will be at the forefront of our Generative AI initiatives. We treat AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features&mdash;specifically document intelligence and RAG pipelines&mdash;taking them from initial prototype to robust, scalable production services. You will solve for real-world constraints like latency, error handling, and cost optimization.</p>
<p>
You&rsquo;ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.</p>
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<div><div><h3 class="jobSectionHeader"><b>What You Will Do:</b></h3><div><div><ul>
<li>Architect &amp; Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud</li>
<li>
<p>Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using Google Cloud Vector Search or Pinecone</p>
</li>
<li><p>Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance</p>
</li>
<li><p>Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks</p>
</li>
<li><p>Collaborate &amp; Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques</p>
</li>
<li><p>Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved</p>
</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Your Technical Toolkit:</b></h3><div><div><ul>
<li><b>Core Languages</b>: Mastery of Python and shell scripting</li>
<li>
<p><b>AI/LLM Ecosystem</b>: Extensive experience with Google Gemini, GPT-4, or LLaMA; deep knowledge of Prompt Engineering and Fine-tuning</p>
</li>
<li><p><b>Data &amp; Search</b>: Expertise in Vector Databases (Vertex AI Vector Search, pgvector, etc.) and implementing Semantic Search</p>
</li>
<li><p><b>Infrastructure</b>: Hands-on experience with Google Cloud (Vertex AI) and building scalable software architectures</p>
</li>
<li><p><b>Frameworks</b>: Proficiency in LangChain, LlamaIndex, or similar orchestration layers</p>
</li>
<li><p><b>Mindset:</b> A strong software engineering foundation&mdash;you write clean, maintainable code and understand the full SDLC</p>
</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Basic Qualifications:</b></h3><div><div><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field</li>
<li>
<p>8+ years of experience in AI/ML</p>
</li>
<li><p>Proven track record of deploying GenAI products to a production environment</p>
</li>
<li><p>Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus</p>
</li>
<li><p>Knowledge of Data Engineering and SQL</p>
</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Personal Attributes:</b></h3><div><div><ul>
<li>Ownership: You take pride in your code and see projects through from concept to deployment</li>
<li>
<p>Curiosity: The AI landscape changes weekly; you are a lifelong learner who stays ahead of the curve</p>
<p>
Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value</p>
<p>
Ethics: You prioritize responsible AI development and data privacy</p><br>
<p></p>
</li>
</ul></div></div></div></div><div><div>$159,300 - $230,000 a year</div><p>
This position may be hired at multiple levels. Final leveling is determined during the interview process based on a candidate's experience, skills, and interview outcomes, and the applicable salary range will align with the final level assigned.<br>
<br>
Compensation is determined based on factors including experience, expertise, interview performance, and geographic location, where applicable.</p></div>
<div><div><b>
Compensation &amp; Benefits:</b></div>
<div></div>
<div>This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:</div>
<ul><li>Comprehensive Health Insurance</li></ul>
<ul><li>Paid Leave (Vacation/PTO)</li></ul>
<ul><li>Paid Holidays</li></ul>
<ul><li>Sick Leave</li></ul>
<ul><li>Parental Leave</li></ul>
<ul><li>Bereavement Leave</li></ul>
<ul><li>401 (k) Employer Match</li></ul>
<ul><li>Employee Referral Bonuses</li></ul>
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<div>Check out our complete list of benefits here - &gt;https://egen.ai/people/#benefits</div>
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<div><b>Important:</b><b> </b>All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.</div>
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<div><b>EEO and Accommodations:
</b></div>
<div></div><div>Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.</div></div>
<div><div>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.</div></div></div>

Lead AI Engineer

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