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Manager Langchain Jobs in Virginia (NOW HIRING)

Merican

AWS AI Engineer

Herndon, VA · On-site

Implement and manage LLMOps workflows, including deployment, monitoring, and scaling of Generative AI systems * Build and maintain agent-based workflows using frameworks like LangChain, CrewAI, or ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

You will collaborate closely with product managers, architects, and application teams to deliver ... LangChain (or equivalent) Develop scalable backend services and APIs using Python Integrate AI ...

Deloitte

Oracle Gen AI Manager

Rosslyn, VA · On-site

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

Tror AI for everyone

AI Agent Engineer

Mclean, VA · On-site

... e.g., using frameworks like LangChain, CrewAI, or Claude Code) that collaborate to create ... Build orchestration logic to manage the lifecycle of subagents (initialization, delegation ...

Pwc

CTIO AI Engineering Manager

Richmond, VA

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... like LangChain - Translating complex business problems into software-engineered AI solutions ...

Deloitte

Oracle Gen AI Manager

Mclean, VA · On-site

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

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All JobsLangchain JobsManager Langchain JobsManager Langchain Jobs in Virginia

Manager Langchain information

What is a manager Langchain?

A Manager Langchain is typically responsible for overseeing the development and deployment of applications built using the LangChain framework, which is designed for creating applications powered by large language models (LLMs). Their duties often include managing teams of developers, coordinating with stakeholders, ensuring project milestones are met, and implementing best practices for prompt engineering and model integration. They may also be involved in setting technical direction, evaluating new AI tools and frameworks, and ensuring compliance with ethical and data privacy standards. Strong leadership, technical expertise in AI/ML, and experience with the LangChain ecosystem are essential for this role.

How does a manager Langchain typically collaborate with cross-functional teams during AI-powered application development?

As a Manager Langchain, you will frequently work with data scientists, software engineers, product managers, and UX designers to ensure seamless integration of language models into applications. Effective communication is key, as you’ll be translating technical requirements into project plans and helping to resolve bottlenecks. You’ll also coordinate code reviews, monitor project progress, and facilitate knowledge sharing to align everyone toward project goals. This cross-functional collaboration is crucial for delivering scalable, user-centric AI solutions.

What are the key skills and qualifications needed to thrive as a manager Langchain, and why are they important?

To thrive as a Manager Langchain, you need a strong background in software engineering, natural language processing (NLP), and experience with AI/ML frameworks, often supported by a degree in computer science or a related field. Proficiency with LangChain, Python programming, cloud platforms (such as AWS or GCP), and familiarity with LLM APIs like OpenAI is highly valuable. Excellent leadership, project management, and communication skills help in guiding teams and translating technical requirements into actionable plans. These capabilities are essential for delivering effective AI solutions, ensuring project success, and maintaining alignment between technical and business objectives.

What is the difference between Manager Langchain vs Data Scientist?

AspectManager LangchainData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; experience with NLP and AI toolsBachelor's or master's in CS, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTeam leadership, project management, collaboration with AI developersData analysis, model development, data visualization, research
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Manager Langchain focuses on leading AI projects and managing teams, whereas Data Scientists primarily analyze data and develop models. The Manager Langchain oversees project execution, while Data Scientists handle data analysis and model building.

What are the most commonly searched types of Langchain jobs in Virginia?

The most popular types of Langchain jobs in Virginia are:

What are popular job titles related to Manager Langchain jobs in Virginia?

For Manager Langchain jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Manager Langchain jobs in Virginia look for?

The top searched job categories for Manager Langchain jobs in Virginia are:

Manager Langchain jobs near you
Infographic showing various Manager Langchain job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution.

Full Stack Developer Python, React, Langchain

Kriscon

Richmond, VA • On-site

Other

Re-posted 21 days ago

Job description

Full Stack Developer (Python, React, Langchain, Agentic AI) - Remote Contract


Location: Remote


Duration: 6 Months


Contract Type: W2, Contract, or C2C


Start Date: Immediate or as per availability


Client Industry: Third-Party Logistics (3PL), Supply Chain Management


About the Client


Our client is a fast-scaling innovator in the third-party logistics (3PL) space, leveraging intelligent automation to transform supply chain operations. They are building a next-generation logistics platform grounded in Agentic AI enabling autonomous, goal-driven agents to optimize workflows, decision-making, and customer interactions.


Role Overview


We are seeking Full Stack Developers with a passion for building AI-native applications. This role focuses on developing a logistics platform powered by Agentic AI, using Langchain to orchestrate intelligent agents and Gen AI to enhance reasoning, retrieval, and automation. This is a remote, 6-month contract ideal for developers who thrive at the intersection of AI and real-world systems.


Responsibilities


- Design and develop full stack applications using Python and React


- Build and deploy Agentic AI workflows using Langchain and LLMs


- Architect autonomous agents for logistics use cases such as routing, exception handling, and predictive insights


- Integrate Gen AI capabilities for dynamic reasoning, semantic search, and task planning


- Collaborate with cross-functional teams to translate logistics requirements into scalable, intelligent systems


- Ensure performance, reliability, and maintainability of AI-driven applications


Required Skills


- Proficiency in Python and React for full stack development


- Hands-on experience with Langchain and LLM-based agent frameworks


- Strong understanding of Agentic AI principles and Gen AI tooling (e.g., OpenAI, Hugging Face, vector stores)


- Experience with RESTful APIs, microservices, and cloud-native deployment


- Familiarity with CI/CD pipelines, Git, and agile development practices


- Excellent communication and problem-solving skills


Preferred Qualifications


- Experience in logistics, supply chain, or transportation systems


- Exposure to RAG pipelines, semantic search, or autonomous agent orchestration


- Familiarity with containerization (Docker) and orchestration (Kubernetes)


Apply