1 to 25 of 1,512 LangChain Jobs

skills to effectively collaborate with cross-functional teams. Preferred Qualifications: Experience with agentic AI, multi-agent systems, or autonomous workflows. Familiarity with OpenAI APIs, LangChain, or similar frameworks for building intelligent systems. Knowledge of financial compliance regulations and risk analysis methodologies. Experience with CI/CD pipelines and version control More ❯

/ML teams or initiatives in cross-functional settings Strong proficiency in Python and ML/DL frameworks such as PyTorch, TensorFlow, Transformers, and LangChain Experience with cloud platforms (Azure or AWS) and MLOps practices (Docker, Kubernetes, CI/CD) Demonstrated ability to deliver scalable AI products in real-world More ❯

/ML teams or initiatives in cross-functional settings Strong proficiency in Python and ML/DL frameworks such as PyTorch, TensorFlow, Transformers, and LangChain Experience with cloud platforms (Azure or AWS) and MLOps practices (Docker, Kubernetes, CI/CD) Demonstrated ability to deliver scalable AI products in real-world More ❯

communities is encouraged Strong understanding of AI governance, data privacy, and Responsible AI frameworks Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies Demonstrated ability to lead cross-functional teams and operate within complex enterprise ecosystems Familiarity with monitoring, observability, and platform telemetry tools (e.g. More ❯

communities is encouraged Strong understanding of AI governance, data privacy, and Responsible AI frameworks Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies Demonstrated ability to lead cross-functional teams and operate within complex enterprise ecosystems Familiarity with monitoring, observability, and platform telemetry tools (e.g. More ❯

experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. AI/ML: Hands on experience with training and evaluating BERT-like models in real-world applications, especially in More ❯

expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques. Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...) Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...) Hands-on experience with one More ❯

GenAI or platform operations communities encouraged Strong understanding of AI governance, data privacy, and Responsible AI frameworks Experience with AI frameworks like TensorFlow, PyTorch, LangChain Leadership skills in cross-functional teams within complex ecosystems Familiarity with monitoring and telemetry tools (Prometheus, Grafana, Azure Monitor) Excellent communication and stakeholder engagement skills More ❯

experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

models. Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn. Working knowledge of AI development, monitoring, and agentic frameworks (e.g., LangChain, LangSmith, LangGraph, or similar). Expert knowledge of test-driven development techniques as applied to non-deterministic AI systems. Experience in NLP techniques (transformers, spaCy More ❯

Experience with LLMs (e.g., GPT, LLaMA), prompt tuning, and embedding-based retrieval systems. Proficiency in Python and ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain). Familiarity with cloud platforms (AWS, GCP, or Azure), ML Ops practices, and secure data handling. What We Offer: Up to €100,000 Flexible Hybrid More ❯

Hands-on expertise in vector similarity search systems such as ScaNN, FAISS, Pinecone, or Vespa. Experience designing intelligent agent frameworks using tools like Dialogflow, LangChain, or custom orchestration pipelines. Solid understanding of telecom OSS/BSS systems, 5G architecture, and network data processing. Strong hands-on experience with Google Cloud More ❯

AI/ML integration into backend systems, particularly in fintech or risk analysis contexts. Familiarity with agentic AI concepts and frameworks (e.g., OpenAI APIs, LangChain). Knowledge of financial compliance regulations and risk analysis methodologies. Past experiences working in Fintech, Financial Services or related industries. What We Offer: Competitive salary More ❯

AI/ML integration into backend systems, particularly in fintech or risk analysis contexts. Familiarity with agentic AI concepts and frameworks (e.g., OpenAI APIs, LangChain). Knowledge of financial compliance regulations and risk analysis methodologies. Past experiences working in Fintech, Financial Services or related industries. What We Offer: Competitive salary More ❯

years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g. More ❯