intelligence agent

ImagineArt

<div><h1 class="jobSectionHeader"><b>Principal AI Engineer (LLM Agents &amp; Orchestration)</b></h1><p><b><br>
Role Title:</b> Principal AI Engineer (LLM Agents &amp; Orchestration) <b>Team:</b> Chatly Engineering <b>Focus:</b> Building Autonomous &quot;Super Agents&quot;</p><h2 class="jobSectionHeader"><b><br>
Who We Are</b></h2><p>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.</p><p>
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.</p><p>
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.</p><p>
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.</p><h3 class="jobSectionHeader"><b>
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.</b></h3><h3 class="jobSectionHeader"><br>
<b>
About the Role</b></h3><p>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p><b>
Agent Architecture:</b> Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</p></li><li><p><b>
Integration Ecosystem:</b> Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</p></li><li><p><b>
Latency &amp; Reliability:</b> Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</p></li><li><p><b>
Memory Systems:</b> Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</p></li><li><p><b>
Evaluation &amp; Observability:</b> Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</p></li></ul><h3 class="jobSectionHeader"><b>
Technical Requirements</b></h3><ul><li><p><b>
Core Stack:</b> Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</p></li><li><p><b>
Model Internals:</b> Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with <b>Function Calling/Tool Use</b>.</p></li><li><p><b>
Vector Search:</b> Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</p></li><li><p><b>
System Design:</b> Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</p></li></ul><p><b>
Why Join Us?</b></p><ul><li><p>
Opportunity to work on innovative AI products like <b>Chatly</b> and <b>Imagine</b>, shaping the future of creativity and user interaction.</p></li><li><p>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</p></li><li><p>
Competitive compensation and benefits.</p></li><li><p>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</p></li></ul></div><p></p>

Agentic AI Engineer

Booz Allen Hamilton

<div>Agentic AI Engineer<p><b>
The Opportunity</b><b>:</b><br>
We are looking for a highly skilled Agentic AI Engineer to join our team specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment.<br>
<br>
<b>What You'll Work On:</b></p><ul><li><p>
Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.</p></li><li><p>
Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.</p></li><li><p>
Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.</p></li><li><p>
Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.</p></li><li><p>
Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.</p></li></ul><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
4+ years of experience in software development</p></li><li><p>
3+ years of experience as an ML engineer building production-grade ML solutions using tools such as Docker or Kubernetes, including, GenAI, LLMs, DL, RL, AI agents, agentic workflows, or complex automation frameworks</p></li><li><p>
3+ years of experience with LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex</p></li><li><p>
3+ years of experience working in cloud environments, including AWS and Azure and evaluating architectural tradeoffs and designing robust service-based software applications for scalable use</p></li><li><p>
Experience with MCP for tool integration and A2A for agent-to-agent collaboration and with RAG architecture and KG, including Neo4j or NebulaGraph</p></li><li><p>
Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA, evaluating LLM performance and behavior through evaluations, and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix</p></li><li><p>
Knowledge of modern software design patterns, including microservice design or edge computing</p></li><li><p>
Ability to adapt in a rapidly changing environment and navigate ambiguity</p></li><li><p>
TS/SCI clearance with a polygraph</p></li><li><p>
Bachelor&rsquo;s degree</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience deploying agentic systems in a production environment</p></li><li><p>
Experience deploying agents on edge devices such as Android or local models</p></li><li><p>
Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results</p></li><li><p>
Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM</p></li><li><p>
Experience engineering AI capabilities in on‑premise or multi‑classification environments</p></li><li><p>
Possession of excellent verbal and written communication skills for client engagements, client-facing project work, and business development</p></li><li><p>
Master&rsquo;s degree in a CS or AI field preferred; Doctorate degree in CS or Statistics a plus</p></li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

Texas Instruments

<p></p><div><div><div><div><div><div><div><div><div><div><div><div><b>Change the world. Love your job.</b></div><p>
Texas Instruments is transforming semiconductor manufacturing through AI. This role sits within the Smart Manufacturing Automation (SMA). organization You will design, build, and operate the agentic AI infrastructure that powers factory intelligence across TI's global fab and assembly/test operations to connect large language models to live manufacturing data systems and enabling rapid decision support at scale.</p><p><b>
What You'll Do</b></p><ul><li><div>
Architect and deliver multi-agent AI systems using the A2A (Agent-to-Agent) protocol, including orchestrator and sub-agent topologies that span multiple factory data sources.</div></li><li><div>
Build and maintain MCP (Model Context Protocol) servers in Python, containerized with Docker and deployed on VMs and Kubernetes clusters; register agents and MCP servers.</div></li><li><div>
Integrate LLM inference into factory workflows; manage LiteLLM project credentials, budgets, and routing configurations.</div></li><li><div>
Develop agent tools that query manufacturing databases (MES, FDC, APC, OEE, etc.) and expose clean interfaces for downstream AI consumption.</div></li><li><div>
Design, evolve, and influence the Agent Delivery Framework.</div></li><li><div>
Establish and document agentic software development best practices; create reusable agent templates adopted across business teams.</div></li><li><div>
Build and maintain Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and parametric data retrieval across thousands of manufacturing documents and records.</div></li><li><div>
Collaborate with multiple departments, domain architects, and factory engineers to identify high ROI agent use cases, prioritize delivery, and ensure agents meet security and authentication requirements.</div></li><li><div>
Present architecture roadmaps and live agent demos to peers and senior manufacturing leadership.</div></li><li><div>
Contribute to cross-domain AI access and guardrails governance strategy.</div></li></ul></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>QUALIFICATIONS</p>
<div><div><b>Minimum Qualifications:</b></div>
<ul>
<li><div>Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.</div></li>
<li><div>4+ years of software engineering experience, with at least 2 years focused on AI/ML systems or LLM application development.</div></li>
<li><div>Proficiency in Python and experience containerizing applications with Docker.</div></li>
<li><div>Hands-on experience building or integrating with REST API backends and asynchronous service architectures.</div></li>
<li><div>Strong communication skills &mdash; able to translate complex AI architecture decisions for non-technical manufacturing stakeholders.</div></li></ul><br>
<p></p>
<p><b>
Preferred Qualifications:</b></p>
<ul>
<li><div>Experience with multi-agent AI frameworks, agent orchestration patterns, or the MCP (Model Context Protocol) specification.</div></li>
<li><div>Familiarity with LiteLLM, Open Web UI, or similar LLM proxy/routing platforms.</div></li>
<li><div>Experience deploying workloads on Kubernetes (K8s) or cloud-adjacent enterprise platforms.</div></li>
<li><div>Working knowledge of graph databases (Neo4j) and vector search systems (Vectara, pgvector, or equivalent).</div></li>
<li><div>Prior exposure to semiconductor or discrete manufacturing data systems (MES, FDC, SPC, SCADA, APC) is a strong plus.</div></li>
<li><div>Experience with workflow automation tools (e.g. Airflow) and CI/CD pipelines (Bitbucket, Jenkins, or equivalent).</div></li>
<li><div>Master's degree or equivalent industrial AI research experience.</div></li>
</ul></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>ABOUT US</p>
<div><div><div><b>Why TI?</b>
</div><div><ul><li>Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.</li>
<li>We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI</li>
<li>Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.</li><br>
</ul></div><p></p><br>
<div><p><b>About Texas Instruments</b>
</p><p>Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.<br>
</p><p></p><br>
<div><div>Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.<br>
</div><p></p><br>
<p>If you are interested in this position, please apply to this requisition.
</p></div></div></div></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div>TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.</div>
</div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>25010490</div>
</div><div><div>Job Category</div>
<div>Information Technology</div>
</div><div><div>Posting Date</div>
<div>05/08/2026, 01:26 PM</div>
</div><div><div>Degree Level</div>
<div>Bachelor's Degree</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>RFAB 300 W. Renner Road, Richardson, TX, 75080, US
</div></div></div></div><div><div>ECL/GTC Required</div>
<div>Yes</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

FocusKPI Inc.

<div><p>We are seeking an <b>Agentic AI Engineer</b> to support the development of a customized AI agent solution for one of our clients.<br>
<br>
We're a consulting team that helps clients design and build customized AI agent solutions. You'll work across engagements &mdash; understanding client problems, architecting the right agentic approach, and shipping working systems. This is not a research role. You'll be in the work &mdash; building agents that go live, with real clients, on real timelines.<br>
<br>
<b>Environment:</b><br>
<br>
We move fast and work across multiple client contexts. You'll need to be comfortable with ambiguity, adapt quickly across industries, and take ownership of your engagements without much hand-holding.<br>
<br>
If you thrive in structured, single-product environments with long planning cycles, this probably isn't the right fit. If you love the variety of consulting and want to build things that actually ship, let's talk.<br>
<br>
<b>Work Location:</b><b> </b>Remote position (40 hours per week)<br>
<b>Duration:</b> Full-time role<br>
<b>Pay-rate:</b> $30+/hr<br>
<br>
<b>**No C2C resumes are considered**</b><br>
<br>
<b>Responsibilities:</b></p><ul><li>
Consult with clients to understand their workflows, pain points, and where agentic AI can create real leverage</li><li>
Design and build custom AI agent solutions tailored to each client's stack, data, and constraints</li><li>
Own full delivery &mdash; from architecture and prompt design to tool integration, testing, and handoff</li><li>
Build evals and monitoring so clients can trust what's running in production</li><li>
Move across engagements &mdash; you'll context-switch between clients and industries</li></ul><p><b>
Qualifications:</b></p><ul><li>
A minimum of <b>2 years</b> of experience is required</li><li><b>
Education requirements:</b> Master's degree</li><li><b>
Mandatory skills:</b> Agentic AI, Claude, LLM</li><li>
Building production-grade agentic systems using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Claude Agent SDK</li><li>
Designing agent architectures: tool routing, memory, multi-agent coordination, retrieval pipelines</li><li>
Translating a client's messy real-world process into a structured agent design</li><li>
Communicating clearly with non-technical stakeholders &mdash; you can explain what you're building and why</li><li>
Delivering under real project constraints &mdash; timelines, client expectations, shifting requirements</li></ul><p><b>
Nice to have:</b></p><ul><li>
Experience building agents for GTM use cases &mdash; sales research, outreach automation, CRM workflows, lead enrichment, or marketing operations</li><li>
Comfort connecting agents to third-party APIs, CRMs (HubSpot, Salesforce), or communication tools</li></ul><p></p><p>
Thank you!</p><p>
FocusKPI Hiring Team</p><p>
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.</p><p>
</p><p><b>NOTICE: </b>Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .<br>
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.</p><p>
</p><p>DC4HSZaJiV</p></div>

Decompute

<div>
 <p>
  <strong>
   Company Description
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 </p>
 <p>
 </p>
 <p>
  Decompute is a pioneer in the development of AI models optimized for local environments, requiring as little as 1 GB of VRAM. Known for our BlackBird platform, which enables the creation of on-device AI agents, we specialize in areas such as finance, legal, coding, and creative tasks like voice and image generation. Our breakthrough multimodal AI models are renowned for outperforming cloud-dependent competitors, even while operating entirely offline on consumer-grade devices. With a model footprint as small as 350M parameters, Decompute&rsquo;s solutions are efficient, scalable, and tailored for CPUs and GPUs. Join us in revolutionizing on-device AI as we empower enterprises with next-generation advancements in technology.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Description
  </strong>
 </p>
 <p>
 </p>
 <p>
  This is a full-time, on-site role located in Cupertino, CA, for an AI Researcher. The AI Researcher will lead cutting-edge research in artificial intelligence, focusing on the development and optimization of advanced models for on-device use. Daily responsibilities include conducting in-depth research, designing algorithms, implementing machine learning solutions, analyzing datasets, and collaborating with cross-functional teams to innovate and refine AI systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
 </p>
 <ul>
  <li>
   Strong foundation in ML and CS, including model architectures, programming and algorithm design
  </li>
 </ul>
 <p>
  Experience training, evaluating, and improving advanced models in production or research settings
 </p>
 <ul>
  <li>
   Experience in Research and implementation of AI-focused technologies
  </li>
  <li>
   Proficiency in Statistics for data analysis and model evaluation
  </li>
  <li>
   Strong problem-solving capabilities and aptitude for innovation
  </li>
  <li>
   Good communication skills for collaboration and presentation of research insights
  </li>
  <li>
   Experience with on-device AI or resource-efficient machine learning is a plus
  </li>
  <li>
   Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or related field preferred
  </li>
 </ul>
</div>


AI Researcher

Talent 360

<div><p>Vezloo is Hiring: French Speakers (100% Remote)</p><p></p><p>
Vezloo is currently looking for French-speaking professionals to join our growing team. This is a fully remote opportunity offering a stable work schedule and the chance to work within a collaborative and dynamic environment.</p><p></p><p>
Key Responsibilities:</p><ul><li>
Owned the end-to-end lifecycle of conversational agents, from requirements gathering to production deployment, ensuring alignment with business objectives.
</li><li>Monitored agent performance and analyzed user interactions to identify gaps and drive continuous optimization.
</li><li>Collaborated with cross-functional teams (AI, graph creators, QA, and clients) to ensure smooth workflows and timely issue resolution.
</li><li>Led testing and quality assurance of conversational flows, validating accuracy and readiness for deployment.
</li><li>Supported client onboarding and implementation, while documenting processes, updates, and operational guidelines.
</li><li>Ensured timely delivery of tasks in line with quality standards, while maintaining strict data confidentiality and compliance.</li></ul><p></p><div>
Work Conditions:<br>
<ul><li>Work Location: 100% Remote</li><li>Working Days: Monday to Friday</li><li>Days Off: Saturday and Sunday</li><li>Working Hours: 10:30 AM to 6:30 PM (including a one-hour break)</li></ul></div><b><br>
Requirements</b><ul><li><br>
Fluency in French (spoken and written)</li><li>Strong communication skills</li><li>Ability to work independently in a remote environment</li><li>High level of commitment, attention to detail, and reliability</li></ul><p></p><p>
If you are a French speaker looking for a remote opportunity, we encourage you to apply.</p><p>
If you are interested or know someone who may be a good fit, please feel free to apply or share this opportunity within your network.</p><b><br>
Benefits</b><br>
<ul><li>
Paid Time Off</li><li>
Work From Home</li><li>
Competitive salary based on experience.</li><li>
Opportunities for professional development and exposure</li></ul></div>

French Agent

Optimal Inc.

<div><p><b>Job Title: Agentic AI Developer</b></p><p>
We are seeking a highly skilled Agentic AI Developer to support advanced R&amp;D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.</p><p>
The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.</p><p>
Key Responsibilities</p><ul><li>
Design and develop agentic AI systems using GPT-style and other large language model architectures</li><li>
Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory</li><li>
Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving</li><li>
Build scalable context management frameworks to support dynamic, multi-turn conversations</li><li>
Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation</li><li>
Collaborate with cross-functional R&amp;D teams to integrate agent-based solutions into innovative products and research initiatives</li><li>
Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities</li><li>
Document system designs, experiments, and technical findings</li></ul><p>
Required Qualifications</p><ul><li>
3-5 years of industry experience in AI/ML, LLM development, or agent-based systems</li><li>
Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)</li><li>
Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures</li><li>
Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques</li><li>
Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)</li><li>
Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus</li><li>
Strong problem-solving skills and ability to work in research-oriented, collaborative environments</li></ul><p>
Qualifications</p><ul><li>
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field</li><li>
Experience contributing to research publications, open-source projects, or experimental AI platforms</li></ul></div>

Agentic AI Developer

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