Remote Software engineering Jobs · LangChain

This role involves hands-on design, development, and deployment of enterprise-grade agentic AI solutions. You will work on multi-agent systems, workflow automation, and AI integration across business processes. The position offers exposure to cutting-edge AI technologies and collaboration with cross-functional teams.

• Lead AI discovery sessions and technical assessments with clients, developing prototypes and proof-of-concepts for real-world applications.
• Guide internal AI product development, evaluating and integrating emerging tools and frameworks into delivery methodologies.
• Author technical content such as white papers, case studies, and blog posts, and deliver presentations at conferences or webinars.

• Support the development and improvement of engineering infrastructure for a novel agentic AI system.
• Contribute to the development of tools and frameworks to assess and mitigate AI-related risks in agentic AI.
• Support technical experiments that conduct evaluations of LLMs and AI agents with engineering infrastructure.

As an AI Integration Engineer, you will integrate cutting-edge AI models like ChatGPT into existing features to enhance products' capabilities and deliver a better user experience, evaluating and selecting AI models and collaborating with the data science team to fine-tune AI model performance.

This is a ground-floor opportunity for a hands-on technical expert to build the core product features and infrastructure for a high-potential software product with the support of a parent company leading innovation in engineering and manufacturing. The principal engineer will work alongside our engineering team, head of product, and AI researchers to build the technical foundations of our platform.

Looking for a highly technical and strategic professional to support the conception, development, and implementation of intelligent agents based on LLM that will act as copilots and autonomous executors in various stages of the software development cycle. Responsibilities include designing and developing intelligent agents based on LLMs for automation and optimization of software engineering processes, defining AI solution architectures, and implementing pipelines of prompt engineering, fine-tuning and RAG.

Build agentic reasoning capabilities in TypeScript (LangGraph). Integrate AI behaviors into the Flux web app (React/Redux) and Chat UI. Instrument telemetry and logging for runtime health, performance, and cost tracking. Collaborate with product and electrical engineers to shape intelligent ECAD workflows. Build and analyze evals; translate data into engineering decisions. Actively shape agentic patterns, conventions, and best practices for the broader engineering org.

Building sophisticated agents from scratch using whatever technology gets the job done, designing multi-agent systems that communicate and collaborate, developing and integrating Model Context Protocols (MCP) that elevate agents' capabilities, and identifying and obliterating inefficiencies in workflows through intelligent automation.

We’re seeking a Machine Learning Engineer who thrives at the intersection of software development and applied ML. The person in this role will update and extend AI-powered features across multiple pipelines, with a focus on building conversational agents and multi-agent systems, applying their software development experience in code optimization and application development.

Design, test, and optimize prompts to improve the performance and reliability of generative AI solutions. Collaborate with data scientists and software engineers to build intelligent systems delivering meaningful and accurate outputs for the business of insurance. Conduct experiments to assess model behavior, accuracy, and cost impact with new or existing prompts.