$80K - $110K/yr
You will work in a remote environment where strong communication, problem-solving, and ownership ... Develop production-grade LLM applications leveraging Claude APIs, LangGraph, LangChain, advanced ...
$80K - $110K/yr
You will work in a remote environment where strong communication, problem-solving, and ownership ... Develop production-grade LLM applications leveraging Claude APIs, LangGraph, LangChain, advanced ...
This is a fully remote opportunity for an EMEA-based engineer looking to make a meaningful impact ... Familiarity with modern LLM and AI development tools and frameworks, such as LangChain, Vercel AI ...
This is a fully remote opportunity for an EMEA-based engineer looking to make a meaningful impact ... Familiarity with modern LLM and AI development tools and frameworks, such as LangChain, Vercel AI ...
$97K - $132K/yr
Apply sound data science practices including feature engineering, attribute selection, threshold ... Fully remote work environment with a standard 40-hour work week . * Limited travel, generally less ...
$97K - $132K/yr
Apply sound data science practices including feature engineering, attribute selection, threshold ... Fully remote work environment with a standard 40-hour work week . * Limited travel, generally less ...
Remote Langchain Developer information
What is a remote Langchain developer?
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 key skills and qualifications needed to thrive as a remote Langchain developer?
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.
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 most commonly searched types of Langchain Developer jobs in Missouri?
The most popular types of Langchain Developer jobs in Missouri are:
What are popular job titles related to Remote Langchain Developer jobs in Missouri?
For Remote Langchain Developer jobs in Missouri, the most frequently searched job titles 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:
$80K - $110K/yr
Full-time
This job post has expired today. Applications are no longer accepted.
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 AI/ML Engineer based in Netherlands.
This is a senior-level opportunity to architect and build an enterprise-grade Agentic AI orchestration platform from the ground up.
You will design scalable AI systems that combine large language models, retrieval, multi-agent workflows, and reusable AI components.
The role offers deep hands-on exposure to technologies such as Claude, LangGraph, RAG, vector databases, and MCP.
You will shape modular AI architectures that can support intelligent agents and reusable capabilities across enterprise use cases.
Beyond engineering, you will provide technical leadership and make key architectural decisions around scalability, security, and reliability.
You will work in a remote environment where strong communication, problem-solving, and ownership are essential.
This role is particularly suited to an experienced AI/ML professional who wants to influence the architecture of production-grade generative AI systems.
Accountabilities
- Lead the architecture, design, development, and implementation of an enterprise-grade Agentic AI orchestration platform.
- Design modular, reusable AI components and intelligent agents using a "Bricks" / multi-node architecture.
- Develop production-grade LLM applications leveraging Claude APIs, LangGraph, LangChain, advanced prompt engineering, RAG, vector databases, MCP, and multi-agent workflows.
- Define and implement agentic AI architectures that are scalable, maintainable, secure, and suitable for enterprise environments.
- Build scalable APIs and backend services using Python and FastAPI, ensuring reliability and production readiness.
- Design retrieval-augmented generation solutions and integrate vector databases to support accurate and context-aware AI applications.
- Develop sophisticated prompt-engineering strategies to improve model performance, reliability, and consistency.
- Establish AI security and responsible AI practices, particularly when working with enterprise or regulated data.
- Provide technical leadership across architecture and engineering decisions, establishing best practices and guiding implementation.
- Evaluate technical trade-offs involving scalability, performance, security, maintainability, and AI model capabilities.
- Collaborate with technical and business stakeholders to translate complex requirements into robust AI solutions.
- Troubleshoot complex technical challenges and continuously improve the platform's reliability, performance, and capabilities.
- 10+ years of overall experience in software engineering and/or AI/ML, with senior-level architecture and engineering responsibilities.
- Strong professional experience building and operating LLM-based applications in production.
- Advanced Python development skills and experience building production-quality backend systems.
- Hands-on experience working with the Claude API, including integration into real-world AI applications.
- Strong experience with LangGraph and/or LangChain, including orchestration of complex AI workflows.
- Proven experience designing and implementing Agentic AI architectures and multi-agent systems.
- Strong knowledge of Retrieval-Augmented Generation (RAG) and practical experience with vector databases.
- Advanced prompt-engineering capabilities, with an understanding of techniques for improving LLM accuracy, reliability, and behavior.
- Experience designing and developing scalable APIs using FastAPI.
- Strong understanding of AI security, responsible AI, privacy, and enterprise AI governance.
- Experience working with enterprise-scale or regulated data environments where security, compliance, and reliability are critical.
- Strong software architecture skills and the ability to make sound technical decisions in complex environments.
- Proven technical leadership capabilities, including influencing architecture, guiding engineering practices, and mentoring technical teams.
- Excellent communication, collaboration, analytical thinking, and complex problem-solving skills.
- Ability to work independently in a remote environment while maintaining strong ownership and delivery focus.
- Fully remote work model.
- Contract engagement.
- Opportunity to work on an enterprise-grade Agentic AI platform using advanced generative AI technologies.
- Hands-on exposure to Claude, LangGraph, LangChain, RAG, vector databases, MCP, multi-agent systems, and modern AI architectures.
- Opportunity to influence architectural decisions and shape reusable AI components and intelligent-agent capabilities.
- Senior-level technical ownership with significant impact on the design and evolution of the platform.
- Experience working with enterprise and potentially regulated data environments.
- International, technology-focused environment with opportunities to solve complex AI/ML engineering challenges.
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.
#LI-CL1
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.
apply for this job