51 to 75 of 87 Remote LangChain Jobs

vector search and embeddings (e.g. FAISS, Pinecone) Understanding of prompt engineering and few-shot learning Ability to work independently in a hybrid, agile environment Nice to Have Experience with LangChain, LlamaIndex, or similar orchestration tools Exposure to cloud platforms (AWS/GCP) and containerisation (Docker) Familiarity with NLP evaluation metrics and safety frameworks More ❯

that's pushing boundaries in autonomous AI What You'll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical solutions What You'll Get More ❯

continuous learning. What We’re Looking For: 2–4 years of experience in machine learning, applied AI, or LLM research Strong Python skills and experience with libraries like PyTorch, LangChain, or LlamaIndex Experience designing and building ML pipelines for structured and unstructured data Familiarity with SQL/NoSQL and data wrangling Curiosity about large language models and enthusiasm for solving More ❯

Copilot-enhanced Visual Studio environment and embracing AI-assisted development. Comfortable working independently on AI-related features in a remote-first, async-friendly environment. Nice to Have: Experience with LangChain, Semantic Kernel , or similar orchestration frameworks. Familiarity with embedding models , vector stores, or retrieval-augmented generation (RAG). Contributions to open-source AI/dev tools or participation in AI More ❯

Python, API design, and distributed systems architecture. You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch. You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge More ❯

or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML libraries (e.g. Semantic Kernel, Langchain and Agentic frameworks). Experience deploying models into production using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong knowledge of data engineering principles More ❯

setting. Comfortable with SQL, preferably with an enterprise database system like Redshift, Postgres. Ideally experience with data processing tools like DBT and Dask. Experience in Python data science space - LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization More ❯

CD, Docker, Git, etc.) What You'll Need: 3+ years of professional software development experience Strong proficiency in React, Python, and AI/ML integration Experience with LLM frameworks (LangChain, LlamaIndex, etc.), RAG, and vector databases Eligible for Secret or TS/SCI clearance (US Citizenship required) Bonus if you have: Familiarity with DoD cybersecurity standards (NIST, RMF, CMMC) GIS More ❯

What Were Looking For: Managerial experience - Leading/Managing a small team of GenAi Developers Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client More ❯

a keen experimenter with LLMs, utilising the skills and knowledge you have in software engineering for LLM based personal projects. Key topics of interest would be agentic systems, RAG, Langchain or automated workflows. You'll have experience using modern Python for scalable and extendible code development (and probably experience with other modern mainstream coding technologies such as Go or Rust More ❯

stack: Java, TypeScript + React, and MySQL Extensive applied experience with AI-assisted development tooling-whether it's Cursor, Windsurf, LLM APIs, codegen platforms, vector databases, agentic frameworks like LangChain, or custom-built systems A strong product mindset and interest in building for real-world impact A bias toward experimentation, iteration, and continuous learning Comfort operating in ambiguity and helping More ❯

stack: Java, TypeScript + React, and MySQL Extensive applied experience with AI-assisted development tooling-whether it's Cursor, Windsurf, LLM APIs, codegen platforms, vector databases, agentic frameworks like LangChain, or custom-built systems A strong product mindset and interest in building for real-world impact A bias toward experimentation, iteration, and continuous learning Comfort operating in ambiguity and helping More ❯

to provide deeper insights into campaign performance and ROI• Build and deploy AI automations leveraging LLMs and AI agent frameworks: Design and implement solutions using cutting-edge technologies like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, and similar frameworks to automate tasks, enhance decision-making, and improve campaign performance• Stay ahead of the curve on emerging AI technologies: Continuously research and … in applying them to real-world marketing challenges• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks• Familiarity and practical experience with tools like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar• Demonstrated ability to identify innovative AI solutions and successfully scale them within an organization• Strong coding skills in Python or similar languages, with More ❯

Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others More ❯

to product scoping. Love working close to commercial teams and real users. Have strong instincts for what moves the needle—not just what ships. Bonus Points Experience with LLMs, LangChain, or AI agents. Prior work in startups or fast-paced 0→1 environments. Familiarity with GTM workflows: sales ops, lead scoring, routing, CRM automation, etc. Why Join? Real-world impact More ❯

to product scoping. Love working close to commercial teams and real users. Have strong instincts for what moves the needle—not just what ships. Bonus Points Experience with LLMs, LangChain, or AI agents. Prior work in startups or fast-paced 0→1 environments. Familiarity with GTM workflows: sales ops, lead scoring, routing, CRM automation, etc. Why Join? Real-world impact More ❯

such as Java, TypeScript, React, and MySQL. Hands-on experience with AI-assisted development tools like Windsurf, Cursor, GitHub Copilot, and Enterprise ChatGPT. Practical experience with AI tools like LangChain/LangGraph is highly desirable. Exposure to LLM APIs, codegen platforms, vector databases, and agentic frameworks. A disruptor mindset and interest in creating solutions with real-world impact. A passion More ❯

and validate new ideas for the venture studio with a focus on AI and web3 technology stacks. We are working with bleeding edge open source technologies such as LangGraph, LangChain, CrewAI, various open source LLMs and blockchains like Starknet, zkSync etc. The ideal candidate is an experienced Machine Learning Engineer that has experience working with various models, in particular LLMs More ❯

nuanced trade offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term More ❯

Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party system integrations Production Standards: Monitoring, logging, cost optimisation, error handling Ideal Candidate Senior-level engineer with proven experience delivering client-facing demos or production More ❯

advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise … platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. Its A Bonus If You Have: Experience working with Generative AI, multi-agent systems, or compliance/regulatory tech. More ❯

Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error handling, cost optimisation Outside IR35 Fully Remote Immediate start 3-6 Month Contract Please send CV More ❯

Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error handling, cost optimisation Outside IR35 Fully Remote Immediate start 3-6 Month Contract Please send CV More ❯

advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise … platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with Generative AI, multi-agent systems, or compliance/regulatory More ❯

advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise … platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with Generative AI, multi-agent systems, or compliance/regulatory More ❯