14 Llm Agents Jobs

Senior AI Engineer role involving end-to-end LLM, ML, and GenAI development, solution architecture, data pipelines, deployment, and technical leadership. Requires strong Python, ML/NLP skills, cloud, MLOps exposure.

Primary skills : Gemini Agent space, AI multi cloud experience, Experience in running AI services, vibe coding(Cursor), Vertex Secondary skills : Terraform, Multi cloud experience (AWS) Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Hands on exposure to integrating with Gemini Pro 1.x using API endpoints. Hands on exposure to using GCP services for storage, serverless-logic, search, transcription, and chat Thorough understanding of Cursor coding(Vibe coding); implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS Ability to qui...

In this role, you will be responsible for: - Implementing data analytics solutions or working in a senior developer capacity with modern technology stacks. - Demonstrating excellent programming skills, with proficiency in languages such as Python, PySpark, or Java. - Building scalable solutions based on APIs and effectively debugging and troubleshooting software and design issues. - Integrating with Gemini Pro 1.x using API endpoints. - Having a strong understanding of prompt engineering and exposure to LLM agents like LangChain, Pinecone, Chroma, or FAISS. - Conducting experiments efficiently and analyzing the features of new versions of LLM models. - Possessing basic data engineering skill...

As an ideal candidate for this role, you should have extensive implementation experience in the data analytics space or a senior developer role in one of the modern technology stacks. Your programming skills should be excellent, with proficiency in at least one major programming or scripting language used in Gen AI orchestration, such as Python, PySpark, or Java. Your responsibilities will include: - Building API-based scalable solutions - Debugging and troubleshooting software or design issues - Integrating with Gemini Pro 1.x using API endpoints - Conducting experiments and analyzing the features and capabilities of newer versions of LLM models - Loading structured and unstructured data fr...

You have extensive implementation experience in the data analytics space or a senior developer role in one of the modern technology stacks. You possess excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python, PySpark, or Java. Your ability to build API-based scalable solutions and debug & troubleshoot software or design issues is commendable. You also have hands-on exposure to integrating with Gemini Pro 1.x using API endpoints. You have a thorough understanding of prompt engineering and implementation exposure to LLM agents like LangChain & vector databases Pinecone, Chroma, or FAISS. Your capabili...

Primary skills : Gemini Agent space, AI multi cloud experience, Experience in running AI services, vibe coding(Cursor), Vertex Secondary skills : Terraform, Multi cloud experience (AWS) Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Hands on exposure to integrating with Gemini Pro 1.x using API endpoints. Hands on exposure to using GCP services for storage, serverless-logic, search, transcription, and chat Thorough understanding of Cursor coding(Vibe coding); implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS Ability to qui...

Responsibility: Help customers identify opportunities of monetizing their data assets to drive growth and profitability. Understand customer's engineering, supply chain and production planning requirements and design digital solutions for customers that have AI and AI-Agents embedded in them. Act as a bridge between customer business stakeholders and development teams comprising of Data Scientists and Solution Architects. Publish Whitepapers on topics covering application of AI to solve domain specific issues and drive growth in the industry. Essential Skills: Ability to manage senior customer stakeholders. Ability to help customers understand how Industry 4.0 practices can be applied in the...

As a Full Stack Cloud Developer at Garrett, you will play a crucial role in developing, deploying, and maintaining serverless applications on AWS. Your responsibilities will include designing and implementing cloud solutions that are scalable, secure, and cost-effective. You will write clean and efficient Python code for backend development, integrating with MongoDB for data storage. Additionally, you will develop dynamic user interfaces using Angular for frontend development. Your key responsibilities will include: - Managing deployment pipelines using TeamCity for smooth and automated deployments. - Implementing and maintaining automated code reviews using SonarQube to uphold high-quality ...

The ideal candidate for this role will be responsible for designing, implementing, and maintaining CI/CD pipelines for multi-service deployments. You will manage container orchestration using Azure Kubernetes Service (AKS), which includes Helm charts, service meshes, and ingress routing. Additionally, you will be required to provision and maintain infrastructure using Terraform or Bicep, ensuring a modular and version-controlled architecture. It will be your responsibility to enforce infrastructure cost optimization and security best practices. The role also requires experience in deploying Lang Chain, LLM agents, or Open AI integrations. You should have strong hands-on experience with Azure...

You are looking for a dynamic Cloud AI/ML Engineer to join our team and contribute to building cutting-edge Agentic RAG, LLM orchestration, and NLP applications. In this role, you will be responsible for designing and deploying scalable GenAI applications, integrating LLM agents and retrieval pipelines, building secure CI/CD and MLOps pipelines, and optimizing performance and cost efficiency across cloud environments. Your expertise in NLP, Agentic RAG, LLM agents, and Python, along with a deep understanding of AWS services such as SageMaker, Bedrock, and EC2, will be crucial for success in this role. You will collaborate closely with cross-functional teams to ensure compliance, monitoring, ...

The role of an Azure DevOps Engineer in Bangalore involves designing, implementing, and maintaining CI/CD pipelines for multi-service deployments. You will be responsible for managing container orchestration using Azure Kubernetes Service (AKS), which includes working with Helm charts, service meshes, and ingress routing. Additionally, you will be tasked with provisioning and maintaining infrastructure using Terraform or Bicep to ensure a modular and version-controlled architecture. It is essential to focus on infrastructure cost optimization and adhere to security best practices in this role. The ideal candidate should have experience in deploying Lang Chain, LLM agents, or Open AI integrat...

As a Full Stack Cloud Developer at Garrett, you will play a crucial role in developing, deploying, and maintaining our serverless applications on AWS. Your responsibilities will include designing and implementing cloud solutions that are scalable, secure, and cost-effective. You will be writing clean and efficient Python code for backend development, integrating with MongoDB for data storage. Additionally, you will develop dynamic user interfaces using Angular for frontend development. You will be in charge of managing deployment pipelines using TeamCity to ensure smooth and automated deployments. Implementing and maintaining automated code reviews using SonarQube will also be a part of your...

As an Engineering Lead at Bolo AI, a company dedicated to utilizing AI to optimize Energy processes, you will play a crucial role in expanding the engineering team and overseeing the delivery of cutting-edge products focused on Generative AI systems. Your responsibilities will encompass managing a talented group of applied scientists, MLOps engineers, and backend developers who are dedicated to developing high-performance platforms for LLM training, RAG, LLM agent orchestration, and enterprise deployments. Your primary objective will be to ensure that the team collaborates effectively to deliver top-tier products within set timelines and with exceptional quality standards. You will be instru...

Experience : 5+ years Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Must have Skills required: LLM agents, Ml models, MongoDB, PostgreSQL, Redis, Team management, Python, FastAPI, Generative AI Key Responsibilities Own project planning, sprint execution, and backlog prioritization across 45 product pods Lead daily standups, retrospectives, and sprint reviews for engineering+ AI teams Translate product and business requirements into structured technical tasks Review architecture plans and ensure systems are modular, scalable, and maintainable Collaborate with the Head of Engineering to validate system design decisions Troubleshoot project delays or bottlenecks and re...