LangChain Jobs

file linke - task link - To verify whether you can perform the task, please download the files from this Drive link. As the login credentials are private, simply download the files from the provided first link and run the 'run file' to log in automatically. Please submit a proposal only after you have fully familiarized yourself with the task details. You must include the word 'Checking' at the very beginning of your proposal. Project Overview: We are looking for an experienced AI/ML engineer to improve and optimize a ChatGPT-style conversational AI model. The goal of this project is to enhance the model’s response quality, accuracy, reasoning ability, domain knowledge, and overall user experience. The selected developer will work on improving the AI system t...

I want a working proof-of-concept application that pulls together a modern MLOps stack on Kubernetes. The build should spin up from a clean repo, flow through a CI/CD pipeline, and deploy an end-to-end demo that highlights three AI pillars I care about: Nvidia AI Enterprise for accelerated inference and training, production-grade LLM functionality (LangChain-powered), and Retrieval-Augmented Generation using a vector store. Core workflow • Code is pushed → pipeline (GitHub Actions or similar) runs tests, builds the container image, and promotes it to the cluster. • Helm or ArgoCD handles drift management so that the desired state remains in sync. • At runtime, the service must auto-scale both CPU and GPU requests, proving horizontal and vertical elasticity. &bu...

I want to put an end-to-end AI-driven safety risk management suite into production. The core of the platform must be a robust risk register and management module, because every other function—automated risk assessments, mitigation planning, tracking and reporting—will feed into or read from that single source of truth. Scope of work The build covers the entire life-cycle of a safety system: interested-party intake, regulations & standards registers, hazard registers, hazard identification, the live risk register, audit workflows, incident investigation support, change management, manual/document control, report generation and a real-time dashboard. Safety officers, regulatory auditors and incident investigators will use the application every day, so the interface needs t...

should Build agentic workflows using LangChain/LangGraph and similar frameworks. • Develop autonomous agents for data validation, reporting, document processing, and domain workflows. • Deploy scalable, resilient agent pipelines with monitoring and evaluation. GenAI Application Engineering • Develop GenAI applications using models like GPT, Gemini, and LLaMA. • Implement RAG, vector search, prompt orchestration, and model evaluation. • Partner with data scientists to productionize POCs. Data & Platform Engineering • Build distributed data pipelines (Python, PySpark). • Develop APIs, SDKs, and integration layers for AI-powered applications. • Optimize systems for performance and scalability across cloud/hybrid environments. MLOps / LLMOps • C...