26 to 50 of 109 LangChain Jobs

Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain) Experience serving Neural Networks in production (PyTorch, ONNX, TorchServe, Triton) Experience developing & maintaining production ML services Experience with ad-hoc analytics, data visualisation, and BI More ❯

Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain) Experience serving Neural Networks in production (PyTorch, ONNX, TorchServe, Triton) Experience developing & maintaining production ML services Experience with ad-hoc analytics, data visualisation, and BI More ❯

. Familiarity with containerization (Docker) Understanding of RESTful APIs and microservices architecture. Experience with AI/ML-related tools and libraries (e.g., Hugging Face, LangChain, PyTorch) preferred A strong intuition for what makes products a joy to use. Empathy for how different users will need different things out of a More ❯

knowledge of cloud platforms, especially Azure (Azure ML, Vertex AI, Databricks, Azure OpenAI, etc.). LLM Libraries: Deep expertise with Python libraries such as Langchain, LangGraph, Promptflow, Semantic Kernel, and Autogen. Software Engineering: Solid background in application development, API integration, and frontend integration, following security best practices. Gen AI Deployment More ❯

AI, with a focus on natural language processing and data analysis. Experience with generative models, large language models (LLMs), and entity resolution. Experience with LangChain or similar frameworks for building language model applications. Proficiency in Python and SQL, with strong skills in data manipulation and analysis. Expertise in AI frameworks More ❯

serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. More ❯

serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. More ❯

science or software development with knowledge of parallel computing with GPUs Strong development experience with RAG and workflows building GenAI applications. Developer experience with LangChain and LangGraph orchestrating LLMs Working experience of orchestration platforms like Kubernetes and datacenter including compute, storage, and networking. Clear written and oral communication skills with More ❯

opportunity to participate in the upside of an ultra-growth venture. Have fun. Apply if: You have experience with our stack: Python, LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine More ❯

techniques. Excellent analytical and problem-solving skills, with a focus on evaluating LLM outputs. Proficiency in Python and experience with relevant libraries (e.g., Transformers, LangChain). Solid experience with API integrations and cloud-based LLM platforms. (GCP or AWS) Strong communication and collaboration skills. A passion for exploring the capabilities More ❯

with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration More ❯

and now it's time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI More ❯

and now it's time to deliver production-ready solutions in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI More ❯

and implementing machine learning models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in natural language processing and large language models, covering training methodologies, deployment strategies and optimisation techniques Familiarity with containerisation and orchestration technologies including More ❯

and cloud platforms (AWS preferred, Azure/GCP a plus). Preferred Skills • Large Language Models (LLMs): Experience with LLM inference servers, major frameworks (LangChain, LlamaIndex), RAG techniques, vector databases, prompt engineering, token optimization, and model quantization. • System-Level Knowledge: Strong understanding of Linux, process/memory management, file systems More ❯

and implementing machine learning models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in natural language processing and large language models, covering training methodologies, deployment strategies and optimisation techniques Familiarity with containerisation and orchestration technologies including More ❯

field such as Data Analytics, Computer Science, Machine Learning/AI, Mathematics, Physics, or Statistics. Expertise in fine-tuning large language models , vector databases , LangChain , LangGraph, Autogen, and prompt engineering . Proficiency in Python and SQL, with the ability to write production-quality code deployable on cloud platforms. Demonstrated experience More ❯

stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python. Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android More ❯

using generative AI tools and foundational models, including prototypes and production-ready solutions. Proficiency with modern LLM/AI tools (e.g., LlamaIndex, Amazon Q, LangChain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem. Experience with AWS AI/ML services such More ❯

in defining and implementing a comprehensive cloud reliability and observability strategy, ensuring that Experience creating engineering solutions using Large Language Models and frameworks like Langchain/LlamaIndex, is a plus. Education Requirements Bachelor's degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.) Skills, experience, and More ❯

Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools, such More ❯

software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a keen eye More ❯

software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a keen eye More ❯

like pandas , numpy , and experience with data pipelines. Domain experience in finance (liquidity, risk, balance sheet, collateral, etc.). Familiarity with frameworks such as LangChain , Semantic Kernel , or similar. Prior experience working with AI evaluation techniques and agent orchestration . Understanding of cloud AI platforms (AWS, Azure, or GCP). More ❯

into AI assistants to optimal results and impact. Proven ROI of prior generative AI products and applications is a must. Proficiency in frameworks including LangChain for AI applications. Programming skills in Python, with experience in AI-driven automation and API integration. Experience working directly with customers, business stakeholders, and domain More ❯