32 Langfuse Jobs

Role Overview: At Intellectyx, as the Director of Engineering, you will be responsible for leading the architecture, development, and scaling of the digital and AI-native product ecosystem. Your role will involve aligning technical excellence with strategic vision to drive innovation, operational excellence, and delivery efficiency across distributed teams. Key Responsibilities: - Define and implement the engineering strategy and roadmap across digital, AI, and data domains. - Translate product vision into scalable, modular, and secure architectures. - Lead, mentor, and scale globally distributed engineering teams. - Foster a culture of engineering excellence, innovation, and accountability....

We are seeking a highly skilled Backend Engineer with strong expertise in Go (Golang), OpenTelemetry, and Langfuse.

Mandatory Application Form - https://forms.gle/8q9byfehMFwZPWqJA About Pibit.ai Pibit.ai is transforming the underwriting landscape with Generative AI . Our SaaS solutions help insurance companies in the US make smarter, faster decisions by optimizing underwriting processes, reducing risk, and improving premiums. As we expand, we're looking for a Machine Learning Engineer - 2 to build NLP, CV & LLM based solutions and generate value for our customers. Position Overview As a MLE-2, you will design, implement, and optimize AI solutions while ensuring model success. You will lead the ML lifecycle from development to deployment, collaborate with cross-functional teams, and enhance AI capabilitie...

As a Principal Associate, Full Stack Engineer at Capital One, you will be part of the Machine Learning Experience (MLX) team focusing on observability and model governance automation for cutting-edge generative AI use cases. Your role will involve building solutions to collect metadata, metrics, and insights from the large-scale genAI platform. You will work on developing intelligent solutions to gain deep insights into the platform's performance and compliance with industry standards. **Key Responsibilities:** - Lead the design and implementation of observability tools and dashboards to provide actionable insights into platform performance and health. - Utilize Generative AI models to enhan...

J ob Title: ML Ops Engineer Location: Bangalore Experience: 38 Years Employment Type: Full-time About the Role We are looking for a skilled ML Ops Engineer to design, build, and optimize scalable machine learning (ML) infrastructure and pipelines. You will collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models for production at scale. Key Responsibilities • Design, deploy, and maintain end-to-end ML pipelines for training, testing, and deploying models in production. • Automate model versioning, CI/CD, and monitoring using modern MLOps frameworks. • Implement data version control, model registry , and automated retraining workflows. • Monitor model perfo...

Position Overview We are looking for a passionate Hyper-Automation Engineer who loves building intelligent automation solutions using Python. You will design, develop, and deploy automation workflows that integrate web, desktop, and API-based systems - leveraging frameworks such as Robocorp , BotCity , RPAFramework, PowerAutomate or equivalent Python-based automation SDKs. Youll work closely with our AI, orchestration, and infrastructure teams to build scalable automation pipelines that eliminate manual effort, improve operational efficiency, and power digital workforce solutions across healthcare, finance, and enterprise domains. Key Responsibilities Design, develop, and maintain automation...

Job Title: SSE Python & LLM Integration Location: Hybrid, Chandigarh, India Experience: 3 to 6+ years in software development Employment Type: Full-time About the Role We are looking for a hands-on technical lead with strong Python expertise and a deep understanding of Large Language Model (LLM) integration to lead the design, development, and deployment of AI-powered solutions. This role requires a balance of technical leadership, architecture design, and hands-on coding to ensure high-quality, scalable, and efficient AI-driven applications. You will collaborate closely with product, data science, and MLOps teams to integrate LLMs into real-world applications, optimize performance, and guid...

J ob Title: ML Ops Engineer Location: Bangalore Experience: 38 Years Employment Type: Full-time About the Role We are looking for a skilled ML Ops Engineer to design, build, and optimize scalable machine learning (ML) infrastructure and pipelines. You will collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models for production at scale. Key Responsibilities • Design, deploy, and maintain end-to-end ML pipelines for training, testing, and deploying models in production. • Automate model versioning, CI/CD, and monitoring using modern MLOps frameworks. • Implement data version control, model registry , and automated retraining workflows. • Monitor model perfo...

DevOps Engineer (Mid-Level) About the role You will take a hybrid role ensuring the quality assurance of AI-driven systems and managing DevOps pipelines for continuous integration, deployment, and monitoring of applications. Responsibilities Manage CI/CD pipelines (GitHub Actions, GitLab CI/CD, Jenkins) Monitor systems using Grafana and integrate alerting solutions Deploy and manage containerized applications (Docker, Kubernetes) Ensure data pipeline testing and reliability across PostgreSQL, MySQL, Milvus Work closely with backend & frontend teams to validate features end-to-end Requirements Familiar with cloud-native DevOps (Kubernetes, Docker, Azure, AWS, GCP, teraform) Knowledge of monit...

About the Role As a GenAI MLOps Engineer on our AI Engineering team, youll build, deploy, and maintain the core infrastructure that powers our generative-AI products. Youll partner closely with data scientists and software engineers to productionize LLM-based models, automate workflows, and keep services reliable and cost-effective. Core Responsibilities (Must-Have) Pipeline & CI/CD Design, build, and operate repeatable ML pipelines (data prep training evaluation deploy) using tools such as Airflow, Prefect, or cloud-native solutions. Author automated CI/CD workflows (GitHub Actions, Azure DevOps, or Jenkins) for model code, pipelines, and container builds, including linting and automated te...

As an AI/ML professional with 5+ years of experience, you are expected to have a strong expertise in deep learning encompassing supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models including Transformers, self-attention, mixture of experts, and embeddings. Key Responsibilities: - Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. - Hands-on experience required in model fine-tuning, data pre-processing, and Python programming. Proficiency in ML frameworks such as PyTorch, TensorFlow, or equivalen...

As an AI/ML expert with over 5 years of experience, you will be responsible for: - Demonstrating strong expertise in deep learning, including supervised, unsupervised, self-supervised, and reinforcement learning techniques. - Proficiency in working with Large Language Models like Transformers, self-attention, mixture of experts, and embeddings. - Utilizing Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design for effective solution development. - Hands-on experience in model fine-tuning, data pre-processing, and Python programming using ML frameworks such as PyTorch, TensorFlow, or equivalent. - Working with LangChain, LangGraph, Cre...

AI Engineer Multi-Agent Systems & NLP/ML Location: Gurugram, India (On-site, Full-time) Experience: 24 years About LeapX LeapX is building the next generation of AI-powered advertising platforms. Our products are redefining how brands run campaigns with speed, precision, and intelligence. We're looking for an AI Engineer (Multi-Agent Systems & NLP/ML) to design, train, and productionize intelligent multi-agent workflows that form the backbone of our platform. This role is ideal for someone who thrives at the intersection of machine learning, NLP, and systems engineering . What You'll Do Design & Build Multi-Agent Workflows: Architect agentic environments (e.g., LangGraph or similar framework...

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Role Overview We're building a next-gen LLMOps team at Fractal to industrialize GenAI implementation and shape the future of GenAI engineering. This is a hands-on technical leadership role for AI engineers with strong ML and DevOps skills ideal for those who love building scalable systems from the ground up. You will be designing, deploying, and scaling GenAI and Agentic AI applications with robust lifecycle automation and observability. Required Qualifications 10 - 14 years of experience in working on ML projects that includes product build...

Agentic AI Developer Location: Ahmedabad,India Type: Full Time (In Person Only) Experience: 2-5 Years About Us Perceptive Labs is building the marketplace of autonomous AI agents. Each agent runs 24/7, connects directly to customer data, and delivers measurable business outcomes (recommendations, automations, workflows). We're early-stage and looking for a Agentic AI Developer to join us at inception. This role will own the technical backbone of the company and help shape the culture, standards, and product DNA. What You'll Do Architect and build the core platform: multi-tenant backend APIs (FastAPI/NestJS), workflows (Temporal), Postgres schemas, Redis event queues. Develop & deploy the fir...

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/d...

About Zocket At Zocket, we are pioneering the future of marketing by harnessing the power of Artificial Intelligence to transform how businesses automate and scale their workflows. Our mission is bold yet simple: to streamline decision-making, dramatically reduce manual effort, and empower marketers to achieve superior results with minimal human intervention . This vision is powered by our cutting-edge Agentic AI systems next-generation intelligent agents designed not just to assist, but to autonomously execute complex marketing tasks at scale. About the Role: AI/ML Engineer As an AI/ML Engineer at Zocket , you will play a pivotal role in designing, building, and optimizing intelligent syste...

Designation :Python Developer Experience: 4+ Years Candidate/ work Location : Bangalore (Hybrid) Interview Process 1 st Round : Online coding test 2 nd round : technical interview with Panel (Virtual) 3 rd Round : Face to Face (Mandatory ) Job Summary Strong core programming knowledge of Python 3.x. Hands-on experience with Django, Flask and FastAPI frameworks. Experience in developing and consuming REST APIs. Solid understanding of ORM (e.g., Django ORM or SQLAlchemy). Proficiency in working with databases like PostgreSQL, MySQL, or MongoDB. Working knowledge on LLMs and Langfuse. Familiarity with HTML, CSS, and JavaScript is a plus. Experience with version control systems (Git/GitHub). Goo...

About the Role We are seeking a Machine Learning Ops Engineer to support and scale our ML/AI infrastructure. The role involves working with LangServe, LangFuse, Docker, and Kubernetes to deploy, monitor, and optimize ML models in production environments. Key Responsibilities • Assist in designing and managing ML model deployment pipelines . • Work with LangServe to deploy and serve ML/LLM applications. • Implement monitoring and logging using LangFuse for model performance tracking. • Containerize ML applications with Docker and deploy them on Kubernetes clusters . • Collaborate with Data Scientists to integrate ML models into production systems. • Support CI/CD pipelines for model updates a...

We are seeking a highly skilled AI/ML Engineer with expertise in Python/Java to design, develop, and deploy scalable AI and machine learning solutions. The ideal candidate will have strong problem-solving skills, hands-on experience with ML frameworks, and the ability to work closely with cross-functional teams to translate business problems into data-driven solutions. Location : Bangalore Experience Required: 2-8 years Key Responsibilities •Design, build, and deploy machine learning models and AI-driven solutions for complex business problems. •Collaborate with data scientists, product managers, and software engineers to integrate ML solutions into production systems. •Perform data preproce...

Title : AI QA Automation Engineer Location : Remote Job Summary: We are seeking an AI Quality Engineer with a strong automation skillset to ensure the robustness, performance, and reliability of our AI systems and services. The ideal candidate is tech-savvy, proactive, and passionate about quality at every stepfrom initial design through deployment and ongoing monitoring. You will play a key role in building and maintaining a highly automated testing infrastructure to support fast, reliable model and pipeline delivery as the company scales. Key Responsibilities Testing Expertise: Conduct comprehensive testing across all layers, including server load, integration points, and output quality. A...

You are a Senior AI Developer specializing in Backend and Autonomous Systems, with a strong focus on Large Language Models (LLMs). In this role, you will be a part of a team that creates autonomous AI systems for software enterprise management. These systems utilize LLM agents for various tasks such as idea generation, market research, software development, and customer acquisition. Your responsibilities will include developing automated systems for code generation and management, designing AI agents capable of understanding business states to facilitate decision-making, contributing to the development of new architectures and programming languages tailored for AI-driven development, and imp...

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/d...

Job Title: AI/ML Architect GenAI, LLMs & Enterprise Automation Location: Bangalore Experience: 8+ years (including 4+ years in AI/ML architecture on cloud platforms) Role Summary We are seeking an experienced AI/ML Architect to define and lead the design, development, and scaling of GenAI-driven solutions across our learning and enterprise platforms. This is a senior technical leadership role where you will work closely with the CTO and product leadership to architect intelligent systems powered by LLMs, RAG pipelines, and multi-agent orchestration. You will own the AI solution architecture end-to-endfrom model selection and training frameworks to infrastructure, automation, and observabilit...

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...