104 Chroma Jobs - Page 2

As a Gen AI Developer in Pune with 37 years of experience, you will be responsible for designing, building, and optimizing Generative AI solutions tailored for pharmaceutical domain use cases. Your expertise in LLMs and agentic AI workflows, preferably within Google Cloud Platform (GCP), will be essential for tasks such as document summarization, data extraction, safety reporting, and knowledge management. Key Responsibilities: - Strong experience in GenAI & Agentic AI development - Hands-on experience in GCP, particularly Vertex AI (Model deployment, tuning, pipelines) and GCP AI/ML services (BigQuery ML, Document AI, GenAI Studio, etc.) - Familiarity with LLM frameworks such as OpenAI, Ant...

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...

As an AI Automation Engineer, you will be responsible for developing and fine-tuning LLM-based models and AI agents for automation, reasoning, and decision-making. Additionally, you will build multi-agent systems that coordinate tasks efficiently and design prompt engineering, retrieval-augmented generation (RAG), and memory architectures. Your role will also involve optimizing inference performance and reducing hallucinations in LLMs, as well as integrating LLMs with APIs, databases, and external tools for real-world applications. You will implement reinforcement learning with human feedback (RLHF) and continual learning strategies, collaborating with research and engineering teams to enhan...

Title: Senior Lead NLP/Gen AI - Data and AI Location: Chennai/Bangalore/Hyderabad Who we are: Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across...

Key Responsibilities: Design and develop GenAI applications leveraging LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.) and frameworks. Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, Milvus, Chroma). Implement prompt engineering, fine-tuning, and model evaluation to improve accuracy and business relevance. Develop and deploy AI agents, copilots, and workflow automation using multi-agent frameworks like LangGraph or Agno Work with cloud platforms (AWS, Azure, GCP) to scale GenAI applications securely. Integrate AI models into enterprise systems via APIs, microservices, or SDKs. Research emerging AI models and frameworks to continuously improve solution quali...

Job Title: Tech Lead Experience: 710 Years Role Overview We are looking for a Tech Lead Engineering & AI Projects who can drive the technical vision and execution of both software engineering and AI initiatives. This is a hands-on leadership role that blends strong full-stack engineering capabilities with practical exposure to AI/ML systems, MLOps, and LLM-based applications. You will lead cross-functional teams, architect scalable solutions, and ensure seamless delivery across product, engineering, and AI teams while mentoring engineers and fostering a culture of technical excellence and innovation. Key Responsibilities Lead architecture, design, and development of robust, scalable engineer...

We're looking for a Generative AI Engineer who knows how to turn models into real-world systemsnot just by fine-tuning, but by masteringprompting,template-driven workflows, andagentic AI architectures. You'll build intelligent agents, design predictable prompt frameworks, and use tools likeLangGraphto orchestrate complex, multi-step AI behaviors inside production-grade products. Responsibilities Prompting & Template Engineering Design, optimize, and maintain prompt templates, reusable prompt frameworks, and evaluation pipelines. Implement structured prompting patterns (chain-of-thought, RAG prompting, tool-calling prompts, guardrails, etc.). Build automated systems for prompt testing, versio...

As a Python Developer at our company, you will be responsible for developing cutting-edge AI/ML solutions using Python and various frameworks. Here is a detailed breakdown of the key aspects of the role: **Role Overview:** You will be a crucial part of our team, leveraging your expertise in Python development and AI/ML frameworks to drive innovation in our projects. Your primary focus will be on developing AI/ML solutions using frameworks like FastAPI, Flask, or Django, and working with AI/ML frameworks such as PyTorch and TensorFlow. **Key Responsibilities:** - Develop AI/ML solutions using Python frameworks like FastAPI, Flask, or Django. - Work with AI/ML frameworks such as PyTorch and Te...

As a Machine Learning & Generative AI Engineer, you will play a crucial role in designing, building, and deploying advanced ML and GenAI solutions. You will have the opportunity to work on cutting-edge AI technologies like LLM fine-tuning, Transformer architectures, Retrieval-Augmented Generation (RAG), and enterprise-scale ML systems. Your innovative thinking and technical expertise will be instrumental in delivering impactful AI solutions aligned with business needs. **Key Responsibilities:** - Design, build, and deploy end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Develop and optimize LLM-based solutions using Transformer arc...

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...

Python Full-Stack Engineer Intern (AI) We are looking for a passionate Python Full-Stack Engineer Interns who enjoys building modern, scalable applications and is excited to work on AI-powered software products. You will collaborate with senior engineers to develop backend services, front-end interfaces, secure APIs, and AI features leveraging LLMs, vector databases, and generative models. Company: Basal Analytics (Basal AI) Location: Remote (India) Duration: 6 Months (Full-time Internship) Compensation: Paid Internship (Monthly Stipend Provided) Experience Required : 4-6 Months Internship Responsibilities: You will work on: Backend development using FastAPI (preferred) or Flask/Django REST ...

Job Description Deep Learning Engineer Department: Artificial Intelligence / Machine Learning Location: Mumbai/Pune/Chandigarh/Remote Employment Type: Full-time POSITION OVERVIEW We are seeking a highly skilled and experienced Deep Learning Engineer to join our AI-CoE team. The successful candidate will be responsible for developing, integrating, and optimiz ing advanced AI solutions leveraging deep learning architectures and large language models (LLMs). This role requires a strong foundation in machine learning algorithms, modern AI frameworks and experience working in enterprise-scale environments. KEY RESPONSIBILITIES Design, implement, and deploy Deep Learning models for enterprise AI i...

As an AI Engineer at our company, you will be responsible for designing and building cutting-edge LLM-powered applications that enhance workflows in the Life Sciences domain. You will have the exciting opportunity to work on real-world GenAI solutions that combine automation, data, and intelligence. **Key Responsibilities:** - Design, develop, and deploy AI-powered solutions using LangChain, LLM APIs, and Python frameworks. - Build scalable integrations between data pipelines, APIs, and AI systems in the cloud. - Implement Agentic AI features for autonomous reasoning, task planning, and contextual decision-making. - Develop and optimize backend services using Python (FastAPI, Flask, or Djang...

Job Description: Freelance Agentic AI Trainer Position: Freelance Trainer Agentic AI / AI Workflows Location: Remote / On-site (as per client requirement) Target Audience: Corporate teams, CXOs, product managers, engineers, developers, startups, EdTechs About the Role We are seeking experienced Freelance Trainers in Agentic AI to deliver high-quality, hands-on training programs on next-generation AI systems, including AI agents, Large Action Models (LAMs), automation workflows, ReAct frameworks, tool-based agents, and enterprise AI orchestration . The ideal trainer has strong knowledge of LLM-powered automation , workflow orchestration tools (e.g., n8n, LangChain, AutoGPT, CrewAI) , prompt e...

As an AI/ML & Generative AI Architect / Engineering Leader at this company, you will play a crucial role in architecting, designing, and implementing enterprise-grade AI platforms. Your deep expertise in LLMs, RAG, Agentic AI, and Azure AI Services will be combined with your leadership skills to drive the AI-first transformation journey for large enterprises. Key Responsibilities: - Architect and implement AI/ML and Generative AI platforms for large-scale enterprise adoption. - Develop RAG pipelines, Agentic AI workflows, and LLMOps frameworks using LangChain, LangGraph, and Hugging Face. - Integrate solutions with Core Banking, ERP, H2H, and API platforms ensuring scalability, security, and...

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us...

Job Title: AI/ML Engineer Experience Required: 4 to 8 Years CONTRACTUAL JOB: 3 MONTHS Location: Pune (Work from Office) About the Role We are seeking a skilled and passionate AI/ML Engineer with at least 4 years of experience to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying machine learning and deep learning models, including Retrieval-Augmented Generation (RAG) systems, along with the ability to translate business problems into data-driven solutions. Key Responsibilities Design, build, and deploy scalable machine learning and AI models for real-world applications. Work closely with data scientists, engineers, and business stake...

As an AI/ML & Generative AI Architect / Engineering Leader, you will play a crucial role in architecting and implementing AI/ML and Generative AI platforms for large-scale enterprise adoption. Your responsibilities will include developing RAG pipelines, Agentic AI workflows, and LLMOps frameworks using LangChain, LangGraph, and Hugging Face. Integrating solutions with Core Banking, ERP, H2H, and API platforms to ensure scalability, security, and compliance will be a key aspect of your role. Additionally, you will lead and mentor high-performing engineering teams following Agile/DevOps best practices and evaluate emerging AI ecosystems such as OpenAI, Anthropic, Mistral, Azure OpenAI, and GCP...

Summary Position Summary Artificial Intelligence & Engineering AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations. Join our AI & Engineering team to help transform technology platforms, drive innovation, and help make a significant impact on our clients achievements. You'll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses. Position Summary Level: Co...

About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to ...

Role Overview: As a Senior LLM Engineer, your primary responsibility will be to design, build, and optimize intelligent agents powered by Large Language Models (LLMs). You will have the opportunity to work on cutting-edge AI applications, pre-train LLMs, fine-tune open-source models, integrate multi-agent systems, and deploy scalable solutions in production environments. Key Responsibilities: - Develop and fine-tune LLM-based models and AI agents for automation, reasoning, and decision-making. - Build multi-agent systems that coordinate tasks efficiently. - Design prompt engineering, retrieval-augmented generation (RAG), and memory architectures. - Optimize inference performance and reduce h...

As a Senior AI Engineer at our company, you will be responsible for leading the design and deployment of advanced AI agents, RAG pipelines, and multi-agent systems. Your expertise in building production-grade AI applications will be crucial in this role. Key Responsibilities: - Architect, build, and scale multi-agent and RAG systems using frameworks like LangChain, LlamaIndex, or similar ones. - Integrate AI models seamlessly with databases, APIs, and user interfaces. - Optimize model performance to ensure speed, accuracy, and efficiency. - Collaborate effectively with cross-functional teams to deliver AI-driven business solutions. - Mentor junior developers and actively contribute to AI arc...

We are seeking a Senior GenAI Engineer to lead the development and deployment of generative AI, LLM, and agentic AI models tailored for business applications. You will work with cutting-edge AI tools, cloud platforms, and vector databases to deliver scalable and performant AI solutions. This role requires expertise in both technical implementation and governance of AI systems. Join us to contribute your skills in building advanced AI capabilities that drive real-world impact. Responsibilities Lead development and fine-tuning of large language models and generative AI solutions Design and implement retrieval-augmented generation and multi-agent AI architectures Manage embeddings and optimize ...

We are looking for a senior engineer who specializes in LLM systems, prompt engineering, and agentic application deployment, combined with strong MLOps and cloud platform engineering experience. You will design, deploy, and scale Generative AI models, retrieval-augmented generation (RAG) pipelines, and autonomous agent frameworks on OCI. In this role, you'll work closely with data scientists, platform architects, and research teams to build production-grade AI systems, including: LLM finetuning and adaptation Prompt and prompt-chain optimization Multi-agent orchestration frameworks Automated evaluation and guardrail systems Model + data drift monitoring and continuous retraining workflows Yo...

As an AI Evangelist at Elfonze Technologies, your role will involve architecting and evangelizing the company's AI vision. You will define strategy, build internal AI capabilities, and integrate next-gen intelligence across digital, cloud, and Oracle ecosystems. Your expertise in transitioning from Full-Stack/Digital Engineering into AI and Intelligent Systems will be essential for scaling AI adoption and productizing capabilities. Key Responsibilities: - Define and execute the AI transformation roadmap across service lines such as Digital, Oracle, Cloud, and Product. - Identify opportunities to embed LLMs, GenAI, and automation in delivery, pre-sales, and internal systems. - Build the inter...