intelligence agent

General Dynamics Information Technology

<div><div><div>Your Impact
Own your opportunity to be at the center of GDIT&rsquo;s business operations. Make an impact by collaborating across functions to make mission success achievable.
Job Description<div>
As an Agentic AI Engineer, you will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision-making and automation within the organization.
If you have 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies, we want to speak with you! 
MEANINGFUL WORK AND PERSONAL IMPACT 
As an Agentic AI Engineer, the work you&rsquo;ll do at GDIT will be impactful to the mission.<ul><li>
Architect and implement production-grade multi-agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows</li><li>
Build and maintain end-to-end agentic AI pipelines, from data ingestion and embedding to deployment and continuous evaluation, optimized for reusability and scalability</li><li>
Develop, test, and deploy internal AI applications that enhances people-powered, AI-enabled productivity</li><li>
Provide unified observability with logging, metrics, and alerts and analyze agent runtime behavior to tune latency, accuracy, and cost in production</li><li>
Integrate agentic AI services with existing enterprise systems and uphold AIOps practices for consistent deployment and scaling</li><li>
Collaborate with cross-functional teams including data scientists, software engineers, and product / service owners to align AI projects with business goals</li><li>
Must stay updated on emerging AI related technologies and recommend improvements to existing AI systems</li></ul> 
WHAT YOU&rsquo;LL NEED TO SUCCEED 
Bring your expertise and drive for innovation to GDIT. The Agentic AI Engineer must have:<ul><li>
Education: Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, Data Science or a related field</li><li>
Experience: 5+ years of experience in AI and machine learning, including hands-on experience with designing, developing, and deploying AI models and systems.</li><li>
1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies.</li><li>
Role requirements:</li><li>
Proven track record of delivering end-to-end AI projects and successfully integrating AI solutions into business processes.</li><li>
Proficiency in programming languages such as Python, R, or Java, and deep understanding of machine learning frameworks like TensorFlow or PyTorch.</li><li>
Strong hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks.</li><li>
Deep understanding of prompt or context engineering, tool definition, and state management for agents.</li><li>
Experience with cloud computing platforms, such as Azure (Preferred), OCI, AWS, or Google Cloud, including AI services like Azure AI Foundry, Bedrock, or Vertex AI.</li><li>
Strong background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation.</li><li>
Preferred Skills and Abilities: Masters degree. Advanced coursework or a Certification in AI, Machine Learning or related areas desirable</li><li>
Location: Hybrid 3 days in Falls Church office</li><li>
US Persons required</li></ul><div> 
GDIT IS YOUR PLACE 
At GDIT, the mission is our purpose, and our people are at the center of everything we do. 
<ul><li>Growth: AI-powered career tool that identifies career steps and learning opportunities</li><li>Support: An internal mobility team focused on helping you achieve your career goals</li><li>Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off</li><li>Community: Award-winning culture of innovation and a military-friendly workplace</li></ul> 
OWN YOUR OPPORTUNITY 
Explore a career in data science and engineering at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.</div>
</div></div><div><div><div>Work Requirements</div></div><div></div><div><div>
Years of Experience<div>
5 + years of related experience</div><ul><li>may vary based on technical training, certification(s), or degree</li></ul></div><div></div><div>
Certification</div><div>
Travel Required<div>
Less than 10%</div></div></div></div></div><div>
Salary and Benefit Information<div>
The likely salary range for this position is $169,604 - $229,464. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. 
View information about benefits and our total rewards program.</div>
About Our Work<div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</div></div></div>

Agentic AI Engineer

Openkyber

<div>Skills set - Agentic AI , Langchain, python, lang graph, MCP, A2A, In-depth knowledge of AI/ML concepts, algorithms, and frameworks.
<ul><li>Proficiency in programming languages commonly used in AI/ML development (e.g., Python).</li>
<li>Develop and implement agent-based systems using frameworks such as Langchain, Langgraph, LlamaIndex, Crew, and Autogen.</li>
<li>Collaborate with cross-functional teams to integrate agents with cloud services like AWS, Azure, and Google Cloud.</li>
<li>Very Strong programming skills in Python languages, Agentic orchestration library</li>
<li>Experience with AI and machine learning concepts .</li>
<li>Conduct research and development to optimize agent functionalities and performance.</li>
<li>Participate in code reviews, testing, and debugging to ensure high-quality deliverables.</li>
<li>Stay updated with industry trends and advancements in agent technologies.</li>
<li>Excellent problem-solving and analytical skills.</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

AI Agent Developer

Builder Lead Converter

<div>Builder Lead Converter

AI Agent Specialist 
Builder Lead Converter is hiring an AI Agent Specialist to design, build, and maintain intelligent AI agents that automate workflows, integrate with our tech stack, and drive real business impact for our internal teams and clients. 
This role sits at the intersection of AI, automation, and systems thinking. You'll work with LLMs, APIs, and automation platforms to deploy AI agents that go far beyond basic chatbots-supporting operations, marketing, customer support, and internal efficiency at scale. 
If you enjoy turning complex, messy processes into clean, automated systems-and want your work to directly impact growing businesses-this role is for you. 
About Builder Lead Converter

Builder Lead Converter (BLC) is a marketing and technology agency serving home builders, remodelers, and construction-focused businesses across the U.S. We specialize in high-performance websites, automation, CRM systems, analytics, and scalable operational processes.

We're known for:
<ul>
<li>Strong technical execution</li>
<li>Clear systems and SOPs</li>
<li>Deep understanding of builder and contractor workflows</li>
<li>A culture that values ownership, documentation, and continuous improvement</li>
</ul>
As we continue to expand our use of AI internally and across client systems, we're investing in this role to help us build production-ready AI agents that create measurable efficiency and value. 
Full Job Description

About the Role

As an AI Agent Specialist, you'll be responsible for creating and managing AI-powered agents that support internal operations, marketing workflows, CRM processes, and customer-facing systems.

You'll collaborate closely with leadership, developers, and non-technical stakeholders to:
<ul>
<li>Identify automation opportunities</li>
<li>Design AI agent logic and workflows</li>
<li>Deploy, test, document, and improve intelligent systems over time</li>
</ul>
This is a hands-on builder role, not a research or purely theoretical position. 
What You'll Do
<ul>
<li>Design and deploy AI agents using LLMs (e.g., OpenAI, Anthropic, etc.)</li>
<li>Build multi-step agent workflows (decision-making, memory, tool usage)</li>
<li>Integrate AI agents with platforms such as:</li>
<li>CRMs (including Go High Level)</li>
<li>WordPress and web applications</li>
<li>Marketing and analytics tools</li>
<li>Internal dashboards and systems</li>
<li>Create automations using tools like:</li>
<li>Zapier, Make, n8n, or similar</li>
<li>Custom API integrations</li>
<li>Implement prompt frameworks, guardrails, and evaluation logic</li>
<li>Optimize AI agents for:</li>
<li>Accuracy</li>
<li>Cost efficiency</li>
<li>Reliability in real-world use</li>
<li>Document systems and contribute to internal SOPs</li>
<li>Monitor performance and iterate based on feedback and results</li></ul> 


Required Skills &amp; Experience
<ul>
<li>Strong understanding of LLMs and prompt engineering</li>
<li>Experience building or deploying AI agents or advanced automations</li>
<li>Comfortable working with APIs, JSON, and structured data</li>
<li>Experience with at least one automation platform (Make, Zapier, n8n, etc.)</li>
<li>Strong systems thinker who can break down complex workflows into logic</li>
<li>Ability to explain technical concepts to non-technical stakeholders</li>
<li>Organized, detail-oriented, and documentation-driven</li></ul> 


Nice-to-Have (Not Required)
<ul>
<li>Experience with:</li>
<li>LangChain, OpenAI Assistants, or similar frameworks</li>
<li>Vector databases and embeddings</li>
<li>WordPress or headless CMS environments</li>
<li>CRM platforms beyond Go High Level</li>
<li>Basic JavaScript or Python</li>
<li>Experience deploying AI in real business environments, not just demos</li></ul> 


Work Schedule &amp; Availability
<ul>
<li>Core office hours: 8:00 AM - 5:00 PM CST, Monday-Friday</li>
<li>We offer flexibility to start up to 4 hours earlier in the day</li>
<li>This is a remote position, but collaboration during shared business hours is important</li></ul> 


Compensation &amp; Benefits
<ul>
<li>Competitive base salary: $1,500 to $2,000</li>
<li>Paid Time Off (PTO)</li>
<li>Floating holidays</li>
<li>Opportunity to earn quarterly performance bonuses</li>
<li>Profit sharing eligibility after 3 years of service</li>
<li>Work with modern, evolving tech systems and a team that values smart automation</li></ul> 


Our Tech Stack (Includes but Not Limited To)
<ul>
<li>Go High Level</li>
<li>WordPress</li>
<li>Jira</li>
<li>Trello</li>
<li>Automation platforms (Zapier, Make, n8n, etc.)</li>
<li>Analytics, marketing, and CRM tools</li></ul> 


What Success Looks Like
<ul>
<li>AI agents are reliable, maintainable, and trusted by the team</li>
<li>Automations reduce manual effort and improve consistency</li>
<li>Systems are clearly documented and easy to extend</li>
<li>You proactively identify opportunities to improve workflows using AI</li></ul> 


How to Apply

Please send:
<ul>
<li>A brief overview of your experience with AI agents or automation</li>
<li>Examples of systems you've built (Looms, screenshots, GitHub, or descriptions)</li>
<li>Optional: your favorite tools or frameworks and why you like them</li></ul></div>

AI Agent Specialist

Cubitrek Private Limited

Job Title: AI Researcher Experience Required: 2+ Years Location: OnsiteJob OverviewWe are looking for a motivated and detail-oriented AI Researcher to join our team. The ideal candidate should have a strong background in Artificial Intelligence research, excellent presentation skills, and strong verbal and written communication abilities. The candidate will be responsible for researching emerging AI technologies, analyzing AI tools and systems, and presenting findings to internal teams.Key Responsibilities<ul><li>Conduct research on Artificial Intelligence technologies, tools, and emerging trends.</li><li>Analyze and evaluate AI systems, models, and platforms for potential business applications.</li><li>Prepare research reports, documentation, and presentations based on findings.</li><li>Present research insights and recommendations to internal teams and management.</li><li>Stay updated with the latest developments in AI, machine learning, and automation tools.</li><li>Collaborate with technical teams to support AI-driven projects and initiatives.</li><li>Test and evaluate AI tools and platforms to identify opportunities for improvement and innovation.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Minimum 2 years of experience in AI research or a related field.</li><li>Strong knowledge of AI tools, systems, and technologies.</li><li>Excellent presentation and analytical skills.</li><li>Strong verbal and written communication skills.</li><li>Ability to document research findings and present them clearly.</li><li>Familiarity with machine learning concepts, AI platforms, and automation tools.</li></ul>Preferred Skills<ul><li>Experience with AI research methodologies and documentation.</li><li>Knowledge of popular AI tools and frameworks.</li><li>Ability to analyze trends and translate research into practical insights.</li></ul>Apply on this link:https://jobs.cubitrek.com/public/applyJob Type: Full-timeApplication Question(s):<ul><li>How soon can you join us?</li><li>Expected Salary?</li><li>Current Salary?</li></ul>Work Location: In person

AI Researcher

<div>Seeking an AI Developer specializing in software engineering who designs, builds, and deploys artificial intelligence systems and applications that mimic human intelligence. The ideal candidate in this position will focus on creating, testing, and implementing machine learning models, neural networks, and natural language processing (NLP) systems to solve business problems and improve operational efficiency. Candidates MUST be a US Citizen or active Green Card holder to be considered.
Key Responsibilities AI Model Development:
Design and train machine learning models and neural networks for tasks such as computer vision, speech recognition, and data analysis.
System Integration:
Deploy AI-powered applications into existing software workflows, ensuring seamless operation via APIs.
Data Preparation:
Perform exploratory data analysis (EDA), cleaning, and preprocessing of large datasets to train and fine-tune models.
Collaboration:
Work alongside data scientists, software engineers, and stakeholders to identify business needs and align AI solutions with company goals.
Performance Monitoring:
Evaluate and optimize AI systems for accuracy, robustness, and speed, including RAG-based systems and LLM configuration.
Research &amp; Innovation:
Stay updated on cutting-edge technologies, such as generative AI, to maintain competitiveness.
Required Technical Skills Programming Languages:
Strong proficiency in Python is standard, along with Java, C++, or R.
AI Frameworks:
Experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
Data Handling:
Proficiency in SQL and NoSQL databases, as well as libraries like Pandas and NumPy.
Cloud Platforms:
Familiarity with deploying models on AWS, Google Cloud, or Microsoft Azure.
Core Concepts:
Solid understanding of machine learning, deep learning, NLP, and neural networks.
Qualifications Education:
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Experience:
2 5 years of experience in software development or AI-specific roles.
Soft Skills:
Strong analytical abilities, problem-solving, creativity, and excellent verbal/written communication.
System One, and its subsidiaries including Joul , ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
For applications and inquiries, contact: hirings@openkyber.com</div>

<div>Job Title: Junior LLM Engineer 
Location: Fremont, CA 
Mandatory Skills: Python, Agentic frameworks (LangChain / LangGraph / Semantic Kernel / AutoGen etc.), RAG, fine-tuning, and multi-agent orchestration, Azure OpenAI/OpenAI/other enterprise LLMs 
Experience Requirements : 10+ years of experience in software engineering, machine learning, data science, or artificial intelligence . 3+ years with LLM frameworks, evaluation tools, or observability platforms like Langfuse, LangChain, Azure AI, etc. 
Qualifications: Bachelor's or master's degree in computer science, Engineering, or a related field. 
Key Skills: Splunk, PowerShell, or Python , ServiceNow, Jira, Logs Monitoring, Confluence and SharePoint 
Skill Requirements: Strong Experience on Agentic frameworks ( LangChain / LangGraph / Semantic Kernel / AutoGen etc.). Hands-on expertise in multiagent orchestration and lifecycle management. Proficiency with Retrieval-Augmented Generation (RAG), fine-tuning , and multi-agent orchestration. Good understanding of advanced RAG patterns : hierarchical chunking , embedding strategies, vector DB selection, semantic filtering , context window optimization. Strong familiarity with Vector databases, RAG pipelines, Embedding models, Retrieval strategies . Proficiency in LLM Platforms : Azure OpenAI/OpenAI/other enterprise LLMs (with exposure LLM APIs and frameworks). Experience integrating LLMs into enterprise SDLC workflows. Experience in Designing multiagent systems ( Document Agent, Requirement Agent, Scenario Agent, Test Case Agent, Automation Agent ) with deterministic handoffs and feedback loops. Familiarity with data governance , responsible AI practices, AI ethics , and compliance. Experience with: Prompt layer refinement , fewshot prompting, Structured output generation, Guardrails to avoid hallucinated requirements or test steps Experience implementing end-to-end AI-driven workflows . Exposure to parallel document processing and largescale agent concurrency Experience with incremental regeneration strategies Experience building AI copilots for enterprise workflows.
For applications and inquiries, contact: hirings@openkyber.com</div>

Junior LLM Engineer

Asurion

<div>Title: Principal Product Manager 
Location: San Francisco, CA (hybrid)
Our Intelligence Platform powers the AI-driven experiences that millions of customers interact with every day across digital and voice channels. We are building the next generation of customer-facing AI agents that can do more than follow scripts. They need to understand context, reason through problems, and take action on behalf of customers. The platform also includes our Agent Marketplace, a composable library of production-ready AI skills that accelerates how quickly we can stand up new AI-powered programs. This is one of the highest-impact product areas in the company, and we are looking for someone who wants to help shape it. This work will deliver on Asurion&rsquo;s promise to deliver the highest level of technology care across consumers technology lifecycle.
As a Principal Product Manager you will join the Intelligence Platform team and own the strategy, development, and performance of our customer-facing AI agents and our Agent Marketplace. You will sit at the intersection of product management and data science, focused on building AI-powered experiences across the full lifecycle care journey while driving the composable platform that makes every AI investment reusable across the organization.
You will partner directly with our Data Science team to advance the capabilities of our AI agents, working alongside Engineering, Design, Care Operations, and business stakeholders. This is a hands-on product role where you will shape how our AI agents interact with customers, help move us toward a more agentic approach where AI can reason, plan, and act on behalf of customers, and drive the marketplace strategy that accelerates delivery of new AI-powered programs from weeks to days.
Key Responsibilities:
AI Agent Strategy &amp; Roadmap<ul><li>
Own the product vision, strategy, and roadmap for customer-facing AI agents across digital (chat, messaging, app) and voice (IVR, voice assistant) channels.</li><li>
Proactively shape the roadmap to move from scripted automation toward agentic experiences that can reason, plan, and take action, improving resolution rates and reducing customer effort.</li><li>
Define and track success metrics that tie AI agent performance to measurable outcomes: resolution rate, customer satisfaction, containment, handle time reduction, and self-service coverage.</li><li>
Evaluate emerging AI capabilities (large language models, multi-modal AI, tool use, memory, retrieval-augmented generation) and make clear recommendations on what to adopt and when.</li><li>
Understand the pulse of the business and anticipate what our AI agents need to do next, not just what they do today.</li></ul>
Data Science Partnership<ul><li>
Serve as the primary product partner to the Data Science team, co-developing the AI capabilities that power our customer-facing agents.</li><li>
Translate business needs and customer pain points into clear problem statements that data scientists can build against, with well-defined success criteria.</li><li>
Engage in technical trade-off conversations around model architectures, training approaches, prompt engineering, and evaluation methods.</li><li>
Partner on experimentation strategy, A/B testing frameworks, and model performance benchmarking to continuously improve agent quality and expand coverage.</li></ul>
Lifecycle Care Journey<ul><li>
Map AI agent capabilities across the full customer lifecycle (onboarding, troubleshooting, claims, upgrades, retention) and prioritize the opportunities with the greatest customer and business impact.</li><li>
Drive a cohesive cross-channel experience so customers get consistent, intelligent support whether they engage via chat, voice, or self-service.</li><li>
Collaborate with Care, Operations, and CX teams to understand frontline realities and make sure AI agents complement human experts rather than creating friction.</li></ul>
Cross-Functional Execution<ul><li>
Work across Engineering, Design, Data Science, Care Operations, and business stakeholders to ship AI-powered experiences at pace.</li><li>
Influence leadership on where to invest in AI capabilities and how to sequence bets for maximum return across the Intelligence Platform.</li><li>
Drive alignment between business objectives and technical feasibility, managing trade-offs with transparency.</li><li>
Champion a culture of rapid experimentation, learning from failures, and iterating quickly.</li></ul>
Agent Marketplace<ul><li>
Own the product strategy and roadmap for the Agent Marketplace, a composable platform of production-ready AI skills that enables teams to discover, reuse, and assemble capabilities across domains.</li><li>
Drive adoption across engineering teams by making reuse the default path, tracking metrics like reuse rate, discovery time, developer adoption, and time-to-delivery for new client programs.</li><li>
Partner with domain teams (Claims, Tech Support, Fulfillment, Payments, Customer360, Communications, Channels, Fraud) to grow the catalog and ensure skill quality, documentation, and composability standards.</li><li>
Shape the marketplace roadmap to support the broader platform vision, including semantic search, usage analytics, quality scoring, and future client-facing capabilities.</li></ul>
Required Qualifications<ul><li>
7+ years of product management experience, with meaningful time spent on AI/ML-powered products.</li><li>
Hands-on AI experience is a must. You are actively working with AI in your current role (building AI-powered products, partnering with data science teams, shaping AI strategy) or you can demonstrate significant daily use outside of work: vibe coding, building with Claude Code, shipping projects with LLM APIs, building custom GPTs, fine-tuning models, or contributing to open source AI projects.</li><li>
Strong understanding of how AI works: large language models, NLP, conversational AI, model training and evaluation, prompt engineering, and agent frameworks.</li><li>
Comfortable working with data. You can write basic Python or SQL for analysis, pull insights from model performance dashboards, and use data to drive product decisions.</li><li>
Track record of shipping customer-facing products that operate at scale across digital or voice channels.</li><li>
Demonstrated ability to partner deeply with data science and engineering teams as a true collaborator, not just a requirements writer.</li><li>
Strong communication skills that work in both directions. You can translate complex AI concepts for business stakeholders and articulate business context for technical teams.</li></ul>
Preferred Qualifications<ul><li>
Experience building or managing conversational AI, virtual assistants, chatbots, or voice AI products.</li><li>
Familiarity with agentic AI patterns: tool use, multi-step reasoning, memory and context management, retrieval-augmented generation (RAG).</li><li>
Experience in industries with complex care journeys (insurance, telecom, healthcare, fintech).</li><li>
Background working with contact center technology, IVR systems, or digital care platforms.</li><li>
Direct experience calling LLM APIs (OpenAI, Anthropic, open source models) or working within agent orchestration frameworks (LangChain, LlamaIndex, or similar).</li><li>
Experience with platform or marketplace products where reuse, composability, and developer adoption are key success metrics.</li></ul>
Core Competencies<ul><li>
AI/ML Technical Fluency and Hands-On Experience</li><li>
Customer-Facing Product Strategy</li><li>
Data Science Partnership and Collaboration</li><li>
Cross-Channel (Digital + Voice) Product Thinking</li><li>
Agentic AI Vision and Roadmap Execution</li><li>
Platform and Marketplace Strategy</li><li>
Analytical Rigor and Experimentation Mindset</li><li>
Cross-Functional Influence and Stakeholder Management</li></ul></div>

Principal Product Manager

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