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Manager Langchain Jobs (NOW HIRING)

Agent Engineer (Langchain)

Denver, CO · On-site

$120K - $175K/yr

Deep expertise in LangChain, LangGraph and LangSmith. * Lead teams through end-to-end delivery ... Collaborate closely with designers, product managers, and stakeholders to continuously deliver ...

Deep expertise in LangChain, LangGraph and LangSmith * Lead teams through end-to-end delivery ... Collaborate closely with designers, product managers, and stakeholders to continuously deliver ...

About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the ... Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and ...

Product Manager, LangSmith

New York, NY · On-site

$180K - $215K/yr

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... About the Role We're looking for a Product Manager to own key parts of LangSmith. Building AI ...

LangChain is a company dedicated to making intelligent agents ubiquitous, providing tools and a ... paced, ambiguous environment and manage multiple projects simultaneously • Ability and ...

IT Engineer

Manhattan, NY · On-site

$150 - $170/hr

... for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS ...

$180 - $275/hr

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... About the Role We're hiring a Manager to lead and scale our Commercial Account Management team. You ...

$225 - $350/hr

About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and ...

WI · On-site

$300 - $350/hr

About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and ...

Deep expertise in LangChain, LangGraph and LangSmith * Lead teams through end-to-end delivery ... Collaborate closely with designers, product managers, and stakeholders to continuously deliver ...

Showing results 21-40

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.

More about Manager Langchain jobs

What cities are hiring for Manager Langchain jobs?

Cities with the most Manager Langchain job openings:

What are the most commonly searched types of Langchain jobs?

The most popular types of Langchain jobs are:

What states have the most Manager Langchain jobs?

States with the most job openings for Manager Langchain jobs include:

Infographic showing various Manager Langchain job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Agent Engineer (Langchain)

Focused

Denver, CO • On-site

$120K - $175K/yr

Full-time

Re-posted 12 days ago


Job description

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer's needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

  • Listen first We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
  • Learn why We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
  • Love your craft We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

  • Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
  • Deep expertise in LangChain, LangGraph and LangSmith.
  • Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
  • Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
  • Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
  • Guide architecture decisions to support scalability, observability, and performance.
  • Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
  • Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
  • Influence technical direction beyond the team, working across client orgs and Focused's internal practices to share lessons, shape approaches, and raise the collective bar.
  • Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn't), and help evolve how we build AI-powered software.
We are excited about you, because you:
  • You're a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
  • You've worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
  • You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
  • You've worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
  • You're excited about what's happening in the AI space but stay focused on delivering value.
  • You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
  • You're as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
  • You love to share what you're learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

  • Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
  • Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
  • Refactored a flaky test suite to support continuous delivery with confidence
  • Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
  • Facilitated an architecture spike to evaluate vector database options for semantic search
  • Contributed a new section to our internal AI playbook
  • Helped write this job req

What to know before you apply: 

  • This role will require being in the Denver office three days per week and up to 20% travel within the United States.
  • Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
  • The Denver base salary range for this role is $120,000 - $175,000.