agentic ai engineer

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

Spanidea Systems

No C2C or vendor involvement. No sponsorship provided.Role: Senior AI / ML Engineer (Automation &amp; Agentic AI)Experience: 10+ years Location: Santa Clara, CA (Hybrid)Role OverviewWe are looking for a highly experienced AI / ML Engineer with a strong data engineering and applied AI background to lead automation initiatives across code generation and test automation. This role will work closely with core engineering teams to design, build, and scale AI-driven and agentic automation solutions that improve developer productivity and software quality.Key Responsibilities<ul><li>Lead and drive AI-powered automation initiatives for code generation, refactoring, and test automation</li><li>Design and implement Agentic AI systems using modern LLM frameworks and orchestration tools</li><li>Collaborate with engineering teams to embed AI/ML solutions into existing development and CI/CD workflows</li><li>Build, train, fine-tune, and evaluate ML and LLM models using structured and unstructured data</li><li>Apply advanced data engineering and MLOps practices to ensure scalable and reliable AI solutions</li><li>Stay current with the latest AI/ML, LLM, and Agentic AI advancements and translate them into practical implementations</li><li>Define best practices, architectures, and governance for AI-driven automation</li></ul>Required Qualifications<ul><li>12+ years of experience in AI/ML engineering, with a strong data-centric background</li><li>Deep expertise in machine learning, deep learning, and LLM-based systems</li><li>Hands-on experience with code generation, test automation, or developer productivity tools</li><li>Strong understanding of Agentic AI concepts, multi-agent systems, and AI orchestration</li><li>Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch, etc.)</li><li>Experience working with large datasets, data pipelines, and feature engineering</li><li>Solid knowledge of MLOps, model deployment, and monitoring in production environments</li><li>Ability to work cross-functionally with senior engineering stakeholders</li><li>Background in software engineering, DevOps, or CI/CD automation</li><li>Experience implementing AI governance, security, and compliance best practices #IT</li></ul>Job Types: Full-time, ContractPay: $120,000.00 - $200,000.00 per yearBenefits:<ul><li>Employee assistance program</li><li>Health insurance</li><li>Professional development assistance</li><li>Referral program</li></ul>Experience:<ul><li>Built LLM agents for code, refactor &amp; test automation: 5 years (Required)</li><li>Designed agentic AI for CI/CD test automation at scale apps: 5 years (Required)</li><li>AI/ML: 10 years (Required)</li><li>Leadership: 3 years (Required)</li></ul>Work Location: Hybrid remote in San Jose, CA 95110

AI/ML Architect - Agentic AI/Gen AI

Plymouth Rock Assurance

<div>We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases.

The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development.
You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.

Key Responsibilities:
<ul>
<li>Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity.</li>
<li>Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows.</li>
<li>Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases.</li>
<li>Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing.</li>
<li>Integrate AI/ML solutions with enterprise systems, APIs, and data platforms.</li>
<li>Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance.</li>
<li>Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration.</li>
<li>Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems.</li>
<li>Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely.</li>
<li>Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures.
</li></ul>Required Qualifications:
<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field.</li>
<li>2+ years of software engineering experience, including work with machine learning (ML) or AI systems.</li>
<li>Hands-on experience building LLM-powered applications in production environments.</li>
<li>Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn.</li>
<li>Experience with LLM ecosystems such as:</li>
<li><ul><li>OpenAI / Anthropic / Google, Open-source LLMs</li>
<li>Hugging Face</li>
<li>LangChain, LlamaIndex, or similar orchestration frameworks</li>
</ul></li><li>Experience building RAG pipelines and working with vector databases.</li>
<li>Understanding of prompt engineering, embeddings, and model evaluation.</li>
<li>Experience building APIs, MCPs, and scalable backend services.</li>
<li>Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar.</li>
<li>Ability to collaborate with cross-functional teams.</li>
<li>Passion for technology and AI.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience building AI agents, agentic platforms, or autonomous workflows.</li>
<li>Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.).</li>
<li>Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT).</li>
<li>Experience with cloud-based AI infrastructure (AWS, Azure, or GCP).</li>
<li>Familiarity with Java, JS, and Java applications and environments.</li>
<li>Experience with MLOps / LLMOps tools and evaluation pipelines.</li>
<li>Experience implementing AI governance, observability, and guardrails.</li>
</ul>
Salary Range:
The pay range for this position is $110,000 to $160,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
Perks and Benefits:
<ul>
<li>4 weeks accrued paid time off + 9 paid national holidays per year</li>
<li>Free onsite gym at our Boston Location</li>
<li>Tuition Reimbursement</li>
<li>Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)</li>
<li>Robust health and wellness program and fitness reimbursements</li>
<li>Auto and home insurance discounts</li>
<li>Matching gift opportunities</li>
<li>Annual 401(k) Employer Contribution (up to 7.5% of your base salary)</li>
<li>Various Paid Family leave options including Paid Parental Leave</li>
<li>Resources to promote Professional Development (LinkedIn Learning and licensure assistance)</li>
<li>Convenient location directly across from South Station and Pre-Tax Commuter Benefits</li>
</ul>
About the Company

The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;

#LI-DF1</div>

Artificial Intelligence Engineer

<div>We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases.

The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development.
You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.

Key Responsibilities:
<ul>
<li>Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity.</li>
<li>Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows.</li>
<li>Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases.</li>
<li>Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing.</li>
<li>Integrate AI/ML solutions with enterprise systems, APIs, and data platforms.</li>
<li>Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance.</li>
<li>Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration.</li>
<li>Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems.</li>
<li>Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely.</li>
<li>Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures.
</li></ul>Required Qualifications:
<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field.</li>
<li>5+ years of software engineering experience, including work with machine learning (ML) or AI systems.</li>
<li>Hands-on experience building LLM-powered applications in production environments.</li>
<li>Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn.</li>
<li>Experience with LLM ecosystems such as:</li>
<li><ul><li>OpenAI / Anthropic / Google, Open-source LLMs</li>
<li>Hugging Face</li>
<li>LangChain, LlamaIndex, or similar orchestration frameworks</li>
</ul></li><li>Experience building RAG pipelines and working with vector databases.</li>
<li>Understanding of prompt engineering, embeddings, and model evaluation.</li>
<li>Experience building APIs, MCPs, and scalable backend services.</li>
<li>Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar.</li>
<li>Ability to collaborate with cross-functional teams.</li>
<li>Passion for technology and AI.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience building AI agents, agentic platforms, or autonomous workflows.</li>
<li>Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.).</li>
<li>Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT).</li>
<li>Experience with cloud-based AI infrastructure (AWS, Azure, or GCP).</li>
<li>Familiarity with Java, JS, and Java applications and environments.</li>
<li>Experience with MLOps / LLMOps tools and evaluation pipelines.</li>
<li>Experience implementing AI governance, observability, and guardrails.</li>
</ul>
Salary Range:
The pay range for this position is $135,000 to $220,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
Perks and Benefits:
<ul>
<li>4 weeks accrued paid time off + 9 paid national holidays per year</li>
<li>Free onsite gym at our Boston Location</li>
<li>Tuition Reimbursement</li>
<li>Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)</li>
<li>Robust health and wellness program and fitness reimbursements</li>
<li>Auto and home insurance discounts</li>
<li>Matching gift opportunities</li>
<li>Annual 401(k) Employer Contribution (up to 7.5% of your base salary)</li>
<li>Various Paid Family leave options including Paid Parental Leave</li>
<li>Resources to promote Professional Development (LinkedIn Learning and licensure assistance)</li>
<li>Convenient location directly across from South Station and Pre-Tax Commuter Benefits</li>
</ul>
About the Company

The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;

#LI-DF1</div>

Sr. Artificial Intelligence Engineer

Robinhood

<div><div><h2 class="jobSectionHeader">Join us in building the future of finance.</h2>

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.</div>
About the team + role 
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Agentic AI team builds agentic AI systems that power intelligent, reliable customer experiences across Robinhood products. The team focuses on reducing the time to ship agents with fine-tuned models and while doing so enables other teams to build, evaluate, and improve their own agents. You will contribute to a culture grounded in first-principles thinking, high performance, and strong focus on customer outcomes!

As a Staff Machine Learning Engineer (IC6), you will define and uphold the quality bar for agentic systems across the organization. You will design evaluation frameworks, guide model selection, and partner with product, data science, and engineering teams to ensure systems meet clear standards for correctness, safety, latency, and user satisfaction. Your work will shape how agentic systems are built, evaluated, and improved across Robinhood!

This role is based in our Bellevue, WA or Menlo Park, CA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
<div>
What you'll do 
<ul><li>Define and implement evaluation frameworks that measure agent performance, including task success, correctness, tool usage reliability, latency, safety, and user satisfaction</li><li>Evaluate frontier and fine-tuned models across quality, latency, cost, and edge cases to determine appropriate use cases</li><li>Partner with product managers, data scientists, and engineers to translate evaluation results into clear launch criteria for agentic systems</li><li>Analyze production issues, identify root causes, and prioritize improvements to increase system reliability and performance</li><li>Build visibility into agent performance through metrics, monitoring, and reporting that inform roadmap decisions</li></ul></div>
<div>
What you bring 
<ul><li>You have deep experience defining and measuring quality for agentic or machine learning systems using evaluation frameworks, datasets, and scorecards</li><li>You have experience evaluating large language models or similar systems, including understanding tradeoffs in performance, cost, and latency</li><li>You have demonstrated ability to analyze production issues and lead initiatives that improve system quality across multiple teams</li><li>You are comfortable working with engineers, data scientists, and product partners to deliver measurable improvements in system performance</li><li>You have experience building or operating systems in regulated environments or working with AI evaluation and observability tools (nice to have)</li></ul></div>
<div>
What we offer 
<ul><li>Challenging, high-impact work to grow your career</li><li>Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching</li><li>Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents</li><li>Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more</li><li>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits</li><li>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</li><li>Exceptional office experience with catered meals, events, and comfortable workspaces</li></ul></div><div>
Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work&mdash;welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.</div></div>

Staff Machine Learning Engineer, Agentic

Euclid Innovations

Required Qualifications<ul><li>4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, or education</li><li>2+ years of hands-on experience building and deploying generative AI or agentic AI systems in production environments</li><li>Strong proficiency in Python; experience designing and consuming REST and/or gRPC APIs</li><li>Demonstrated experience with LLM integration, prompt engineering, and tool-use patterns in multi-step AI workflows</li><li>Experience with at least one agentic AI framework (e.g., LangGraph, AutoGen, CrewAI, OpenAI Swarm, Google ADK, or Claude Agent SDK)</li><li>Solid understanding of distributed systems, event-driven architecture, and microservices design</li><li>Experience with cloud-native infrastructure and containerized deployments (Docker, Kubernetes)</li><li>Strong written and verbal communication skills with the ability to document technical designs, present to stakeholders, and produce clear operational artifacts</li></ul>Desired Qualifications<ul><li>Hands-on experience building production agentic AI systems using one or more frameworks such as OpenAI Swarm, AutoGen, CrewAI, LangGraph, Google ADK, or Claude Agent SDK</li><li>Experience implementing Model Context Protocol (MCP) integrations for tool use, context management, and agent-to-agent communication</li><li>Experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines for knowledge-grounded AI applications</li><li>Proficiency with vector databases such as Pinecone, Weaviate, Qdrant, pgvector, Redis Vector DB, or FAISS</li><li>Experience with graph databases, particularly Neo4j, for relationship-aware data modeling and querying</li><li>Hands-on experience with distributed observability and self-healing systems &mdash; instrumenting services, detecting anomalies, and triggering automated remediation</li><li>Experience with OpenTelemetry for distributed tracing, metrics, and logging across multi-service architectures</li><li>Experience with event streaming platforms such as Kafka and message queue systems such as RabbitMQ, ZeroMQ, or Redis MQ</li><li>Proficiency in Python (5+ years); REST and/or gRPC; event-driven design patterns</li><li>Experience with identity and access management (OAuth scopes, RBAC/ABAC) and sensitive data handling for enterprise applications</li></ul>Pay: $65.00 - $70.00 per hourWork Location: In person

Python Developer with AI

Openkyber

<div>Job Title: AI / ML Engineer 
Location: Dallas, TX or Memphis, TN Hybrid 
Duration: 6+ Months
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution and developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :
<ul><li>Advanced knowledge of Python specifically for machine learning and data science.</li>
<li>Experience with LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, or AutoGen.</li>
<li>Proficiency in cloud services related to ML/AI (e.g., Azure, OpenAI, Hugging Face, AWS, Google Cloud Platform).</li>
<li>Extensive experience in AI/ML development, particularly in NLP, and machine learning domains.</li>
<li>Hands-on experience in developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solutions is essential</li>
<li>Proficiency in designing and maintaining AI/ML solutions that are cost-effective, accurate, and scalable.</li>
<li>Exceptional problem-solving skills and the ability to think analytically.</li>
<li>Strong communication and interpersonal skills, with the aptitude to navigate complex project requirements with clients and stakeholders.</li>
</ul>Nice to have: Certification as an Azure AI Engineer Associate or equivalent credentials is highly advantageous.
Experience with ML/DL frameworks like TensorFlow, Keras, PyTorch, and scikit-learn.
Experience with C# or Java, node.js.
With Regards, OpenKyber 
7525 Mitchell Road, Suite 106, Eden Prairie, MN 55344 
Email ID - hirings@openkyber.com
For applications and inquiries, contact: hirings@openkyber.com</div>

OCI AI Services Engineer

Search 10000+ Agentic ai engineer jobs near you this March. New roles added regularly across leading industries. Apply today.