AI Engineer - Onsite
Washington, DC · On-site
Required : • Python (automation, backend services) • JavaScript (React/Node JS) • LangChain and/or LangGraph hands-on experience • Docker and container-based deployments • AWS Cloud ...
AI Engineer - Onsite
Washington, DC · On-site
Required : • Python (automation, backend services) • JavaScript (React/Node JS) • LangChain and/or LangGraph hands-on experience • Docker and container-based deployments • AWS Cloud ...
AI Engineer
Arlington, VA · On-site
... LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions • Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • Collaborate ...
AI Engineer
Arlington, VA · On-site
... LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions • Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • Collaborate ...
Agentic AI Engineer (Only W2) - Bethesda, MD
Bethesda, MD · On-site
$104K - $143K/yr
LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel * Multi-LLM: OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, Amazon Bedrock * Strong Python, plus Azure / AWS / Google Cloud Platform and ...
Agentic AI Engineer (Only W2) - Bethesda, MD
Bethesda, MD · On-site
$104K - $143K/yr
LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel * Multi-LLM: OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, Amazon Bedrock * Strong Python, plus Azure / AWS / Google Cloud Platform and ...
Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...
Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications: * Must possess 7 or more years of experience in AI/ML production engineering, development ...
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications: * Must possess 7 or more years of experience in AI/ML production engineering, development ...
AI Engineer
Arlington, VA · On-site
Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...
AI Engineer
Arlington, VA · On-site
Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...
Senior UI Developer
Mclean, VA · Remote
$61.50 - $79.50/hr
Experience with LangGraph, LangChain, or similar agent orchestration frameworks * Knowledge of semantic web technologies and knowledge graphs * Experience with A/B testing and user interaction ...
Quick apply
Senior UI Developer
Mclean, VA · Remote
$61.50 - $79.50/hr
Experience with LangGraph, LangChain, or similar agent orchestration frameworks * Knowledge of semantic web technologies and knowledge graphs * Experience with A/B testing and user interaction ...
AI Engineer in Reston VA
Reston, VA · On-site
LangChain, LangGraph, Amazon Bedrock Agents Create multi-agent workflows and orchestration frameworks. Integrate agents with enterprise applications and APIs. Build human-in-the-loop workflows for ...
AI Engineer in Reston VA
Reston, VA · On-site
LangChain, LangGraph, Amazon Bedrock Agents Create multi-agent workflows and orchestration frameworks. Integrate agents with enterprise applications and APIs. Build human-in-the-loop workflows for ...
Data Engineer
Rockville, MD · On-site
$116K - $140K/yr
Stay informed of advances in LLM frameworks (LangGraph, Google ADK, AWS Strands) and emerging AI capabilities * Write clean, well-tested code; contribute to CI/CD Jenkins pipelines and infrastructure ...
Data Engineer
Rockville, MD · On-site
$116K - $140K/yr
Stay informed of advances in LLM frameworks (LangGraph, Google ADK, AWS Strands) and emerging AI capabilities * Write clean, well-tested code; contribute to CI/CD Jenkins pipelines and infrastructure ...
Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, LangGraph, or LangChain * Experience in resolving workflow problems through automation optimization * Experience in ...
Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, LangGraph, or LangChain * Experience in resolving workflow problems through automation optimization * Experience in ...
AI Engineer
Washington, DC · On-site +1
$141K - $236K/yr
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications: * Must possess 7 or more years of experience in AI/ML production engineering, development ...
AI Engineer
Washington, DC · On-site +1
$141K - $236K/yr
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications: * Must possess 7 or more years of experience in AI/ML production engineering, development ...
Hands-on experience with frameworks such as LangChain/LangGraph, CrewAI, Google ADK, or equivalent. * Solid understanding of GenAI concepts including tool invocation, guardrails, memory, and multi ...
Hands-on experience with frameworks such as LangChain/LangGraph, CrewAI, Google ADK, or equivalent. * Solid understanding of GenAI concepts including tool invocation, guardrails, memory, and multi ...
Utilize frameworks like LangChain, LangGraph or CrewAI to build LLM-powered workflows. Build robust backend services (Python/REST API/Node.js) and Spring boot RESTful APIs to support agent ...
Utilize frameworks like LangChain, LangGraph or CrewAI to build LLM-powered workflows. Build robust backend services (Python/REST API/Node.js) and Spring boot RESTful APIs to support agent ...
AI/ML Engineer
Washington, DC · Remote
$190K - $220K/yr
Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. * Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
AI/ML Engineer
Washington, DC · Remote
$190K - $220K/yr
Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. * Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
AI/ML Engineer
Washington, DC · Remote
$190K - $220K/yr
Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. * Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
AI/ML Engineer
Washington, DC · Remote
$190K - $220K/yr
Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. * Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
AI engineer
Reston, VA · On-site
LangChain, LangGraph, Amazon Bedrock Agents Create multi-agent workflows and orchestration frameworks. Integrate agents with enterprise applications and APIs. Build human-in-the-loop workflows for ...
AI engineer
Reston, VA · On-site
LangChain, LangGraph, Amazon Bedrock Agents Create multi-agent workflows and orchestration frameworks. Integrate agents with enterprise applications and APIs. Build human-in-the-loop workflows for ...
Experience with Agentic AI (AutoGen, LangGraph, CrewAI) * Knowledge graphs / federated learning * Research / publications in AI Clearance: Public Trust (or eligible) Hashtags: #AI #MachineLearning ...
Quick apply
Experience with Agentic AI (AutoGen, LangGraph, CrewAI) * Knowledge graphs / federated learning * Research / publications in AI Clearance: Public Trust (or eligible) Hashtags: #AI #MachineLearning ...
Utilize frameworks like LangChain, LangGraph or CrewAI to build LLM-powered workflows. Build robust backend services (Python/REST API/Node.js) and Spring boot RESTful APIs to support agent ...
Utilize frameworks like LangChain, LangGraph or CrewAI to build LLM-powered workflows. Build robust backend services (Python/REST API/Node.js) and Spring boot RESTful APIs to support agent ...
"AI Engineer"
Reston, VA · On-site
LangChain, LangGraph, Amazon Bedrock Agents * Create multi-agent workflows and orchestration frameworks. * Integrate agents with enterprise applications and APIs. * Build human-in-the-loop workflows ...
"AI Engineer"
Reston, VA · On-site
LangChain, LangGraph, Amazon Bedrock Agents * Create multi-agent workflows and orchestration frameworks. * Integrate agents with enterprise applications and APIs. * Build human-in-the-loop workflows ...
AI Lead Developer - Aerospace
Herndon, VA · Hybrid
$145K - $175K/yr
Experience with AI Agent frameworks (LangGraph, ADK) and classical ML is a plus. Location: hybrid in Herndon, VA (3 days office min) Salary Range: $145,000 - $175,000 The actual salary offered is ...
AI Lead Developer - Aerospace
Herndon, VA · Hybrid
$145K - $175K/yr
Experience with AI Agent frameworks (LangGraph, ADK) and classical ML is a plus. Location: hybrid in Herndon, VA (3 days office min) Salary Range: $145,000 - $175,000 The actual salary offered is ...
Langgraph information
What is the difference between Langgraph vs Data Analyst?
| Aspect | Langgraph | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires knowledge of language processing and graph databases | Usually requires a degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI research labs, data-driven organizations | Business, finance, healthcare, and marketing sectors |
| Industry Usage | Emerging role in AI and NLP projects | Established role in data interpretation and reporting |
While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.
What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?
To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.
What is a Langgraph?
Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.
What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?
Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.
What are popular job titles related to Langgraph jobs in Reston, VA? For Langgraph jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Reston, VA look for? The top searched job categories for Langgraph jobs in Reston, VA are:
What cities near Reston, VA are hiring for Langgraph jobs? Cities near Reston, VA with the most Langgraph job openings:
Cognizant rating
7.4
Based on 85 frontline employees who took The Breakroom Quiz
41st of 58 rated business consultants
Job description
Job Summary:
Cognizant is seeking an AI Engineer to design, develop, and support cloud-native automation and AI agent workflows. The role involves building scalable web applications, managing APIs, and deploying AI services on cloud platforms while ensuring responsible AI practices.
Responsibilities:
• Design, and maintain scalable web applications using Python, Node.js, and React.
• Develop and manage APIs that orchestrate RAG workflows, including retrieval, prompt handling, and model interaction.
• Design and implement end-to-end RAG pipelines, including data ingestion, embedding generation, vector database management, and retrieval optimization.
• Build AI orchestration and agentic workflows using Semantic Kernel, LangChain, or LangGraph, incorporating tool usage, memory, and multi-step reasoning.
• Integrate LLMs (e.g., Azure OpenAI) and optimize prompts for accuracy, performance, and cost.
• Implement observability, monitoring, and evaluation frameworks using LangSmith and Azure monitoring tools to track quality, latency, and hallucination.
• Troubleshoot and optimize AI systems for retrieval quality, grounding accuracy, and response relevance.
• Deploy and manage AI services on cloud platforms (Azure/GCP/AWS) using CI/CD pipelines and containerization.
• Ensure responsible AI practices, including guardrails, security, and compliance standards.
Qualifications:
Required:
• Python (automation, backend services)
• JavaScript (React/Node JS)
• LangChain and/or LangGraph hands-on experience
• Docker and container-based deployments
• AWS Cloud Practitioner-level knowledge with hands-on exposure
• REST APIS, JSON, Git
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.
Cognizant is seeking an AI Engineer to design, develop, and support cloud-native automation and AI agent workflows. The role involves building scalable web applications, managing APIs, and deploying AI services on cloud platforms while ensuring responsible AI practices.
Responsibilities:
• Design, and maintain scalable web applications using Python, Node.js, and React.
• Develop and manage APIs that orchestrate RAG workflows, including retrieval, prompt handling, and model interaction.
• Design and implement end-to-end RAG pipelines, including data ingestion, embedding generation, vector database management, and retrieval optimization.
• Build AI orchestration and agentic workflows using Semantic Kernel, LangChain, or LangGraph, incorporating tool usage, memory, and multi-step reasoning.
• Integrate LLMs (e.g., Azure OpenAI) and optimize prompts for accuracy, performance, and cost.
• Implement observability, monitoring, and evaluation frameworks using LangSmith and Azure monitoring tools to track quality, latency, and hallucination.
• Troubleshoot and optimize AI systems for retrieval quality, grounding accuracy, and response relevance.
• Deploy and manage AI services on cloud platforms (Azure/GCP/AWS) using CI/CD pipelines and containerization.
• Ensure responsible AI practices, including guardrails, security, and compliance standards.
Qualifications:
Required:
• Python (automation, backend services)
• JavaScript (React/Node JS)
• LangChain and/or LangGraph hands-on experience
• Docker and container-based deployments
• AWS Cloud Practitioner-level knowledge with hands-on exposure
• REST APIS, JSON, Git
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Cognizant employees say
Pay
Benefits
Hours and flexibility
Workplace
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