51 to 75 of 143 LangChain Jobs

Excellent stakeholder management and communication skills Desirables Hands-on exposure to AI engineering concepts such as Python, prompt engineering, or agent frameworks Experience with LangChain, LangGraph, LlamaIndex, or similar AI tooling Knowledge of Claude (Anthropic), AI APIs, or agentic workflows Experience working within financial services, reporting, environmental or regulatory environments ...

reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red‐teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi‐agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross‐modal reasoning ...

software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g. ...

including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability ...

experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ ...

experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ ...

experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ ...

experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ ...

experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ ...

experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ ...

including CI/CD pipelines and MLOps. Hands-on experience with GenAI, including LLM fine-tuning, prompt engineering and frameworks such as LangChain or LangGraph. Experience working in cloud-based data and ML environments, ideally with Azure and Databricks. Strong Python skills and experience deploying models into production environments. Confident ...

environments. Hands‐on command of modern AI stack: LLM APIs and fine‐tuning, vector databases, RAG, embedding pipelines, prompt engineering, and agent orchestration frameworks (LangChain, AutoGen, or equivalents). Practical exposure to agentic AI architecture, multi‐agent coordination, and MCP or similar frameworks. Experience with enterprise data platforms (Snowflake, Databricks ...

etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools. Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps ...

Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration ...

/knowledge/experience: Strong programming skills in Python (Karat assessment clearance required). Experience in Generative AI application development using frameworks such as LangChain or LangGraph. Hands-on experience building and deploying RAG-based solutions. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong understanding ...

expertise in Python (or failing that, Java).* Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).* Strong experience with Kubernetes (EKS) and cloud-native architectures.* Proven record of building scalable backend systems and APIs.* Experience mentoring engineers and contributing ...

with a track record of incremental, agile delivery.* Hands‐on development capability, including practical experience with Python and modern AI frameworks (e.g., LangChain, Semantic Kernel, or similar) to build or support agents, chat interfaces, or retrieval‐augmented solutions.* Experience applying software engineering fundamentals: writing tests, structuring user stories, managing iterative ...

following domains: Cloud architecture (AWS, Azure, GCP) Enterprise data platforms, analytics, and data governance (Snowflake, Databricks, BigQuery) Integration architectures, APIs, and middleware (LangChain, LlamaIndex, MuleSoft) Security architecture, risk management, and compliance (Zero Trust architectures, identity‐aware AI access, secrets management) AI/ML platforms, responsible AI practices, and model lifecycle ...

5+ years building production-grade Python backends. You know the internals, not just the syntax. Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph (agent memory, tool calling, state management) Dagster in production (assets, sensors, partitions) or equivalent pipeline orchestration Strong backend fundamentals including API design, async ...

deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing ...

deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing ...

deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing ...

Strong experience with Python, TypeScript, and .NET development. Hands-on experience building and deploying AI applications in production. Experience with MCP or orchestration frameworks (LangChain, LangGraph, Pydantic AI). Strong understanding of LLM infrastructure (routing, caching, inference optimisation). Experience with LLM observability tools (eg Langfuse). Strong communication skills ...

Knowledge of secure system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work on mission-critical systems at the forefront of UK National Security ...

fine‐tuning, RAG, evaluation, synthetic data generation), agentic AI, big data technologies, or digital twins Familiarity with emerging research and tooling ecosystems such as LangChain, LangGraph, SmolAgents, or similar frameworks Experience with large‐scale or distributed training frameworks and ecosystems (e.g., HuggingFace, Megatron‐LM, OpenCode) Your role will be based ...