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Remote Langchain Developer Jobs in Missouri (NOW HIRING)

$94K - $124K/yr

Working in a remote-first engineering environment, you will have the opportunity to shape an ... Familiarity with evaluation and observability frameworks such as Langfuse or LangChain is a plus.

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

... TensorFlow, LangChain, or equivalent is an advantage. * Strong communication skills, a ... Competitive salary package. * Full-time remote-first role with flexibility to work from Germany.

$48.50 - $64/hr

Experience with AI orchestration frameworks such as LangGraph, LangChain, or LlamaIndex ... or engineering best practices is highly desirable. Benefits: * Fully remote contract opportunity ...

Remote Langchain Developer information

How do Remote Langchain Developers typically collaborate with team members and stakeholders across different time zones?

Remote Langchain Developers often work as part of distributed teams, which requires strong communication and collaboration skills. They frequently use tools like Slack, Zoom, or project management platforms to coordinate with colleagues and share progress. Developers may need to adjust their schedules for occasional meetings or code reviews to accommodate team members in other time zones. Clear documentation and proactive updates are essential to ensure everyone stays aligned on project goals and timelines.

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

To thrive as a Remote Langchain Developer, you need strong Python programming skills, experience with natural language processing (NLP), and a solid understanding of the LangChain framework and large language models. Familiarity with cloud platforms, REST APIs, and version control systems like Git is typically required, along with any relevant certifications in AI or cloud computing. Excellent problem-solving, self-motivation, and effective remote communication skills help set you apart in distributed teams. These skills ensure the efficient development of robust, scalable AI solutions while enabling seamless collaboration and innovation in a remote work environment.

What are Remote Langchain Developers?

Remote Langchain Developers are software professionals who specialize in building applications using the Langchain framework, which is designed to facilitate the development of language model-powered applications. They work from remote locations, collaborating with teams online to integrate large language models (LLMs) like OpenAI's GPT into various products and workflows. Their responsibilities typically include designing, coding, testing, and deploying solutions that leverage Langchain's capabilities for tasks such as data processing, chatbots, document analysis, and more. Remote Langchain Developers must be proficient in Python and have a strong understanding of AI, machine learning, and natural language processing concepts.
What are the most commonly searched types of Langchain Developer jobs in Missouri? The most popular types of Langchain Developer jobs in Missouri are:
What job categories do people searching Remote Langchain Developer jobs in Missouri look for? The top searched job categories for Remote Langchain Developer jobs in Missouri are:
What cities in Missouri are hiring for Remote Langchain Developer jobs? Cities in Missouri with the most Remote Langchain Developer job openings:

Senior Software Engineer, Agents

Jobgether

Remote

$94K - $124K/yr

Full-time

Posted 5 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Agents based in Netherlands.

As a Senior Software Engineer specializing in AI agents, you will help build the next generation of intelligent developer tools designed to simplify complex technical workflows and deliver actionable insights. You will create the foundational infrastructure behind AI-powered assistants, including orchestration systems, tool execution frameworks, context management, evaluation pipelines, and reliability layers. Working in a remote-first engineering environment, you will have the opportunity to shape an emerging AI product from an early stage while solving challenging backend and machine learning problems. This role is ideal for an engineer who enjoys ambiguity, takes ownership, and wants to build systems that can scale to support thousands of users and complex real-world interactions.

Accountabilities
  • Design and build the core infrastructure powering AI agent capabilities, including orchestration, tool execution, context management, evaluation systems, and trust frameworks.
  • Develop reliable, secure, and observable backend systems that enable AI assistants to interact with data, applications, and developer workflows.
  • Create and improve agent-based features that help users analyze information, understand performance, troubleshoot issues, and make better decisions.
  • Build systems around large language models, including tool usage, structured outputs, context handling, evaluation processes, and agent workflows.
  • Collaborate with engineering teams to define architecture, identify technical challenges, and establish scalable solutions for an evolving AI platform.
  • Improve system reliability, performance, and usability by identifying gaps, investigating issues, and implementing meaningful improvements.
  • Contribute to technical discussions, code reviews, architecture decisions, and engineering best practices.
  • Take ownership of projects from concept to delivery while working independently in a fast-moving product environment.
  • Support knowledge sharing and mentor other engineers as the team and platform continue to grow.
Requirements
  • 5+ years of experience building and shipping production software systems.
  • Hands-on experience developing applications with large language models, beyond basic prompting, including agent workflows, tool integration, structured outputs, context management, orchestration, or evaluation.
  • Strong backend engineering fundamentals with experience designing reliable, scalable, secure, and observable systems.
  • Ability to work effectively in ambiguous environments where architecture and product direction are continuously evolving.
  • Self-driven approach with the ability to identify opportunities, define solutions, and deliver projects independently.
  • Strong communication and collaboration skills, especially within remote and distributed engineering teams.
  • Experience with AI platforms and tools such as OpenAI or Anthropic APIs is a plus.
  • Previous experience building AI agents, conversational interfaces, Slack integrations, or developer-focused tools is advantageous.
  • Familiarity with evaluation and observability frameworks such as Langfuse or LangChain is a plus.
  • Knowledge of subscription business models, mobile applications, app stores, or developer platforms is beneficial.
  • Contributions to open-source AI or machine learning projects are considered an advantage.
Benefits
  • Fully remote and flexible working environment.
  • Competitive compensation package with equity opportunities.
  • Long-term equity support with an extended exercise window for vested options.
  • 4-5 weeks of recommended annual time off to support mental, physical, and emotional well-being.
  • Workspace setup budget to help create an effective remote working environment.
  • Annual learning and development budget to support continuous growth.
  • Opportunity to work on cutting-edge AI technology with significant product impact.
  • Collaborative international engineering culture with experienced technical teams.
  • Opportunity to shape AI-native products and influence the future of intelligent developer tools.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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