16 Chainlit Jobs

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. Your role will involve a solid understanding and hands-on skills for GenAI application deployment, which includes development and engineering tasks. This will include: - Data ingestion - Selecting suitable LLMs - Implementing simple and advanced RAG - Setting up guardrails - Prompt engineering for optimization - Ensuring traceability and security - Evaluating LLMs - Enabling observability - Deploying at scale on the cloud or on-premise The ideal candidate should possess 3 - 5 years of experience in working on ML projects, encompassing tasks such as: - Bu...

As a Python Developer for the GenAI project, your role will involve leading the design and implementation of the project using Python. You will work extensively with Python libraries such as langchain, Flask, Streamlit/Chainlit, and Gradio to ensure the performance, quality, and responsiveness of applications. Your responsibilities will include collaborating with the team to define, design, and ship new features, identifying and correcting bottlenecks, fixing bugs, and helping maintain code quality, organization, and automatization. Additionally, you will be involved in evaluating the Gen AI solutions with relevant metrics such as relevancy and correctness. Key Responsibilities: - Lead the d...

You have expertise in handling large scale structured and unstructured data efficiently. You are familiar with the use of Docker tools, pipenv/conda/poetry env, and comfortable following Python project management best practices. You have a high familiarity with DL theory/practices in NLP applications and can code in various frameworks such as Huggingface, LangChain, Chainlit, Tensorflow, Pytorch, Scikit-learn, Numpy, and Pandas. Additionally, you are comfortable using open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others. Your knowledge includes fundamental text data processing, such as regex, token/word analysis, spelling correction, noise reduction in text, ...

As an AI Engineering Manager in Ford's Supply Chain Analytics Team, you will lead a small team and collaborate with experts globally to implement Agentic AI solutions. Your role will involve working on various products that leverage MCP to solve Supply Chain Problems across Ford globally. **Key Responsibilities:** - Design NLP/LLM/GenAI applications/products following robust coding practices. - Design Agentic AI Systems leveraging MCP protocol (or Google ADK). - Explore state-of-the-art models/techniques for automotive industry use cases. - Conduct ML experiments to train/infer models within memory & latency restrictions. - Deploy REST APIs or a minimalistic UI for NLP applications using Doc...

About our group: The Operations and Strategy Management (OSM) team leads the integration of SAFe Agile and DevOps practices across Global MES development teams, with a strategic focus on embedding AI/ML capabilities into manufacturing operations. As stewards of the AI Space initiative, OSM ensures that machine learning and GenAI technologies are operationalized to enable smarter, data-driven decision-making. OSM also designs and governs service management processes, serving as Release Train Engineers (RTEs) to promote Agile values across the organization. The team manages both on-premises and cloud-based development environments, supporting Seagate's broader strategy for innovation, agility,...

Role Overview: You will be joining Ford's Supply Chain Analytics Team as an AI Engineering Manager with expertise in NLP/LLM/GenAI. In this role, you will be hands-on in employing various NLP/Prompt engineering techniques to design and develop Agentic AI solutions for Supply Chain Problems across Ford globally. You will lead a small team and collaborate with technical experts worldwide to implement cutting-edge AI solutions. Key Responsibilities: - Design NLP/LLM/GenAI applications/products incorporating robust coding practices - Design Agentic AI Systems leveraging MCP protocol (or Google ADK) - Explore state-of-the-art models and techniques for automotive industry use cases - Conduct ML ex...

Role Overview: You will be responsible for full stack software development and implementing statistical methods in the Cloud environment. Your role will involve working with a variety of technologies and tools to develop and deploy machine learning and deep learning models. Key Responsibilities: - Utilize 3+ years of experience in full stack software development - Apply statistical methods such as ANOVA and principal component analysis - Work with Python, SQL, and BigQuery (BQ) - Utilize various technologies including SonarQube, CICD, Tekton, terraform, Google Cloud Storage (GCS), GCP Looker, Google Cloud Build, Cloud Run, Vertex AI, Airflow, TensorFlow, etc. - Train, build, and deploy machi...

Job Description Job description: Minimum 6+ years of experience with strong programming skills in Python with a focus on OOPs and API development. Handson experience with FastAPI GitHub Workflows and cloudnative deployments. Familiarity with Azure and AWS services especially for AIML workloads. Experience with IaC tools eg Terraform Bicep Pulumi Understanding of GenAI concepts including prompt engineering LLM finetuning and multiagent orchestration Exposure to MLOps containerisation Docker and CICD pipelines. Excellent communication and collaboration skills in a distributed team environment. Experience with enterprise GenAI use cases eg document summarisation code generation chatbots. Knowle...

You have expertise in handling large scale structured and unstructured data efficiently. You are familiar with the use of Docker tools, pipenv/conda/poetry env, and comfortable in following Python project management best practices such as use of setup.py, logging, pytests, relative module imports, sphinx docs, etc. Additionally, you have familiarity in using Github for cloning, fetching, pulling/pushing, raising issues and PRs. Your high familiarity in the use of DL theory/practices in NLP applications is commendable. You are comfortable coding in Huggingface, LangChain, Chainlit, Tensorflow, Pytorch, Scikit-learn, Numpy, and Pandas. Moreover, you are adept at using two or more open source N...

As a Python Developer at our company, your primary responsibility will be to lead the design and implementation of the GenAI project using Python. You will work extensively with Python libraries such as langchain, Flask, Streamlit/Chainlit, and Gradio to ensure the performance, quality, and responsiveness of applications. Your role will involve collaborating with the team to define, design, and ship new features, as well as identifying and correcting bottlenecks and fixing bugs. Additionally, you will be expected to help maintain code quality, organization, and automatization. Key Responsibilities: - Lead the design and implementation of the GenAI project using Python - Work extensively with...

The ideal candidate for this position should have 3+ years of experience in full stack software development, along with expertise in Cloud technologies & services, preferably GCP. In addition, the candidate should possess at least 3 years of experience in practicing statistical methods such as ANOVA and principal component analysis. Proficiency in Python, SQL, and BQ is a must. The candidate should also have experience in tools like SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google Cloud Build, Cloud Run, Vertex AI, Airflow, TensorFlow, etc. Experience in training, building, and deploying ML and DL models is an essential requirement for this role. Familiarity with HuggingFace, Chai...

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. This role demands a solid understanding and hands-on skills in GenAI application deployment, encompassing development and engineering skills. You will need to possess expertise in data ingestion, selecting the appropriate LLMs, implementing simple and advanced RAG, guardrails, prompt engineering for optimization, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on-premise. It is essential for candidates to demonstrate knowledge of agentic AI frameworks due to the rapid evolution of this space. Strong background i...

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. Your role will involve a solid understanding and hands-on skills for GenAI application deployment, which includes development and engineering tasks. This will include data ingestion, selecting suitable LLMs, implementing simple and advanced RAG, setting up guardrails, prompt engineering for optimization, ensuring traceability and security, evaluating LLMs, enabling observability, and deploying at scale on the cloud or on-premise. It is crucial that candidates also showcase knowledge on agentic AI frameworks, with a preference for those having a strong ba...

Required Qualifications: 3 - 5 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) Should have worked on proprietary and open-source large language models Experience on LLM fine tuning, creating distilled model from hosted LLMs Building data pipelines for model training Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation,and observability Experience in GenAI application deployment on cloud and on-premise...

Required Qualifications: 3 - 5 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) Should have worked on proprietary and open-source large language models Experience on LLM fine tuning, creating distilled model from hosted LLMs Building data pipelines for model training Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation,and observability Experience in GenAI application deployment on cloud and on-premise...

Required Qualifications: 3 - 5 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) Should have worked on proprietary and open-source large language models Experience on LLM fine tuning, creating distilled model from hosted LLMs Building data pipelines for model training Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation,and observability Experience in GenAI application deployment on cloud and on-premise...