27 Retrieval Systems Jobs

Role Overview: As a Material Control Officer, you will oversee the receipt of materials, ensure proper documentation, and storage according to company standards and safety regulations. Your responsibilities will include monitoring stock levels, identifying potential shortages, conducting regular stock checks and audits, and implementing efficient storage and retrieval systems to optimize space utilization. Key Responsibilities: - Oversee the receipt of materials and ensure proper documentation and storage - Monitor stock levels and identify potential shortages - Conduct regular stock checks and audits to ensure inventory records match physical stock - Implement efficient storage and retrieva...

Role Overview: You will be responsible for overseeing the receipt of materials, ensuring proper documentation and storage according to company standards and safety regulations. Your role will involve monitoring stock levels and identifying potential shortages. Additionally, you will conduct regular stock checks and audits to ensure that inventory records match physical stock. It will be your duty to implement efficient storage and retrieval systems to optimize space utilization and ensure that materials are easily accessible. Key Responsibilities: - Oversee the receipt of materials, ensuring proper documentation and storage - Monitor stock levels and identify potential shortages - Conduct re...

We are seeking a highly skilled senior technical lead to join our Agentic AI and Semantic Search team. This is a hands-on technical leadership role responsible for designing scalable AI systems that integrate agentic reasoning with semantic search to deliver real-time, context-rich, and commerce-aware decisions. You will define the technical vision, lead architectural strategy, and build retrieval, reasoning, and evaluation platforms that directly impact how the world's top brands manage billions of dollars in eCommerce revenue. Responsibilities Architecture and Leadership: Define and drive the architecture for agentic AI systems that combine LLM reasoning, semantic search, and contextual gr...

Role- Responsibilities Implement agentic workflows in Python using an agent framework. Semantic Kernel is preferred. Experience with LangGraph, AutoGen, CrewAI, or equivalent is valuable. Build reliable tool and function calling flows with planning, memory, and conversation orchestration. Develop retrieval pipelines for RAG and hybrid search including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching. Ship agents to production on cloud platforms. Integrate identity, networking, cost controls, and runtime observability. Instrument applications with tracing, metrics, and logs. Establish evaluation workflows using prompt and flow tests for offline, batch, and A/B ...

Job Description About Capgemini Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Role Overview As a Mid-Level Machine Learning Engineer, you'll develop, deploy, and optimize AI models in production environments. You'll collaborate with senior engineers, work on advanced ML systems, and solve complex AI challenges. Key Responsibilities - Build...

Overview Design, build, and operate production AI agents and tool using Agentic AI frameworks in Python. Own agentic workflows end to end across planning, reasoning, tool calling, retrieval, evaluation, security, and observability. Responsibilities Implement agentic workflows in Python using an agent framework. Semantic Kernel is preferred. Experience with LangGraph, AutoGen, CrewAI, or equivalent is valuable. Build reliable tool and function calling flows with planning, memory, and conversation orchestration. Develop retrieval pipelines for RAG and hybrid search including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching. Ship agents to production on cloud pla...

Role Overview: You will be responsible for leading the technical design of Flosyncs AI systems, from data modelling to deployment. Additionally, you will architect hybrid solutions that combine LLMs, retrieval, and classical ML. Your role will involve defining evaluation frameworks, guardrails, and performance tuning practices. Furthermore, you will have the opportunity to mentor junior engineers and collaborate with the founding team on system-level problem-solving. It is worth noting that there are ongoing live POC projects with an EPC giant and a large auto component manufacturing firm. Key Responsibilities: - Lead the technical design of AI systems from data modelling to deployment - Arc...

We are looking for an Agentic AI Developer with hands-on experience building autonomous AI agents , RAG systems, and production-grade AI integrations using modern frameworks like LangChain, AutoGen, CrewAI, and LangGraph . Key Responsibilities Build autonomous agent workflows with planning, memory, and tool-use Develop RAG pipelines, vector search, embeddings, and memory layers Train and tune LLMs/SLMs (LoRA, QLoRA, optimization) Integrate AI with enterprise apps (.NET, REST APIs, PostgreSQL, AWS) Build ML models for prediction, anomaly detection & recommendations Connect agents with Salesforce, Snowflake, SAP HANA, Kafka, UiPath Ensure monitoring, logging, performance & observability Follow...

Responsibilities We are looking for exceptional engineers who consistently deliver outsized impact through deep technical expertise, rapid problem-solving, and strong ownership. Ideal candidates will not only write high-quality, scalable code but also influence architectural decisions, mentor team members, and build tools or frameworks that enhance team productivity. If you thrive in fast-paced environments, think systemically, and are passionate about driving both technical excellence and business outcomes, you'll fit right in. This is a unique opportunity to shape our AI architecture, steer product direction, and drive innovation on a scale. Key Responsibilities Lead architectural design o...

As a MLOps Engineer at Qualcomm India Private Limited, you will have the opportunity to contribute to the development and maintenance of the ML platform both on premises and AWS Cloud. Your role will involve architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform. You will collaborate with various teams to ensure the smooth operation and scalability of the ML infrastructure. **Responsibilities:** - Architect, develop, and maintain the ML platform for training and inference of ML models. - Design and implement scalable infrastructure solutions for NVIDIA clusters on-premises and AWS ...

We are looking for a highly skilled AI Engineer to build and scale enterprise-grade AI solutions using advanced LLMs, agent frameworks, and automation platforms. In this hands-on role, you will design, implement, and optimize AI-powered applications, including autonomous agents, RAG-based knowledge systems, and workflow automation that deliver measurable business value. You will work closely with stakeholders, product owners, AI and cloud, and engineering groups to translate business needs into secure, scalable, and production-ready Generative AI implementations Responsibilities: Hands-on expertise in building, fine-tuning, and deploying production-scale Generative AI applications, including...

As an AI Architect at Flosyncs, your role will involve leading the technical design of AI systems, from data modeling to deployment. You will be responsible for architecting hybrid solutions that combine LLMs, retrieval, and classical ML. Additionally, you will define evaluation frameworks, guardrails, and performance tuning practices. Mentoring junior engineers and collaborating with the founding team on system-level problem solving will also be part of your responsibilities. It is worth mentioning that there are ongoing live POC projects with an EPC giant and a large auto component manufacturing firm. Key Responsibilities: - Lead the technical design of AI systems, covering data modeling t...

Role Overview: As a Senior Data Scientist at Johnson Controls International (JCI), you will be part of the Data Science and Analytics team, focusing on developing and deploying scalable AI solutions, including those powered by Large Language Models (LLMs). Your expertise in machine learning, AI, and cloud data platforms will be crucial in driving digital transformation across products, operations, and customer experiences. Your responsibilities will include leading the development of advanced machine learning models, collaborating with data engineering teams, shaping AI strategy, and mentoring team members. Key Responsibilities: - Design and implement advanced machine learning models such as...

As a Senior Backend Software Developer at Webnyay, you will be responsible for contributing to the development of highly scalable, secure, and high-performing applications using Python/Django and GCP. Your key responsibilities will include: - Working closely in an AGILE environment with a team of engineers to build innovative products. - Creating and maintaining technical documentation for design and solutions. - Building scalable, secure, and cost-effective products/features. - Assisting the team in debugging and performing code reviews. - Understanding application architecture and implementing full feature sets. - Providing technical expertise throughout the project lifecycle. - Collaborat...

Role Overview: As a Senior Data Scientist specializing in Data & Analytics, you will be responsible for leveraging advanced analytics, LLMs, and modeling techniques to drive business impact and AI strategy. Your role will involve collaborating with data engineering teams, leading workshops to demonstrate the value of LLM use cases, and mentoring team members in advanced AI techniques. Key Responsibilities: - Design and implement advanced machine learning models, such as deep learning, time-series forecasting, recommendation engines, and LLM-based solutions like GPT and LLaMA. - Develop use cases for enterprise search, document summarization, conversational AI, and automated knowledge retriev...

5-7 years of experience in Product development and AI/ML or NLP solution development. ? Strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, PyTorch, TensorFlow, or Transformers. ? Experience with LLM frameworks and strong understanding of retrieval systems, embeddings, and vector databases. ? Hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes). ? Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI etc.. ? Exposure to data pipelines, preprocessing, and production-grade model deployment.

Job Description We are looking for exceptional engineers who consistently deliver outsized impact through deep technical expertise, rapid problem-solving, and strong ownership. Ideal candidates will not only write high-quality, scalable code but also influence architectural decisions, mentor team members, and build tools or frameworks that enhance team productivity. If you thrive in fast-paced environments, think systemically, and are passionate about driving both technical excellence and business outcomes, you'll fit right in. This is a unique opportunity to shape our AI architecture, steer product direction, and drive innovation on a scale. Responsibilities Key Responsibilities Lead archit...

About Trianz Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security. The company has developed a disruptive IP Led Transformations vision, strategy, and business model over the past 3 years. Some of the company's IP was recently acquired by AWS and its overall business model has taken off sharply in 2024. Trianz is led by Sri Manchala, a former Special Forces officer from the Indian Army and author of Crossing the Digital Faultline , and a team of veterans from well-known firms such as McKinsey, Deloitte, HCL, KPMG, ...

As a candidate for the role of bridging the gap between business requirements and technical solutions in an Electronics manufacturing plant, your responsibilities will include: - Designing, developing, and implementing Industry 4.0 Automation Systems across various manufacturing processes such as SMT lines, PCBA lines, machine shop operations, and device assembly lines. - Integrating Smart Factory Technologies by developing and integrating cyber-physical systems, IoT devices, and other advanced technologies to create fully automated and interconnected manufacturing environments. - Applying expertise in automation technologies including Vision Systems, Industrial Robots, Collaborative Robots/...

Role Overview: As a Material Control Specialist, your role will involve overseeing the receipt of materials, ensuring proper documentation, and storage according to company standards and safety regulations. You will be responsible for monitoring stock levels and identifying potential shortages. Regular stock checks and audits will be conducted to ensure inventory records match physical stock. Implementation of efficient storage and retrieval systems to optimize space utilization and ensure materials are easily accessible will also be part of your responsibilities. Key Responsibilities: - Oversee the receipt of materials and ensure proper documentation and storage - Monitor stock levels and i...

As an experienced test automation professional with 6-9 years of experience, especially with Cypress and Playwright, you will play a crucial role at IDfy. Your primary responsibilities will include: - Writing clean and effective automation scripts using JavaScript/TypeScript - Working with CI/CD pipelines such as Jenkins, GitHubActions, GitLab CI - Understanding web application architecture and proficient in debugging and performance testing - Utilizing API testing tools like Postman or RESTAssured - Familiarity with test case management tools like TestRail or Zephyr - Demonstrating expertise in browser automation, network monitoring, and headless testing - Using version control systems like...

The job involves designing and implementing advanced solutions utilizing Large Language Models (LLMs) at Fractal, a fast-growing team that leverages AI and behavioural sciences to help clients make better decisions. As a part of the team, you will be expected to demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Staying informed about the latest developments in generative AI and LLMs, conducting research, and developing code libraries, tools, and frameworks to support generative AI development are key responsibilities. You will also participate in code reviews, maintain high code quality standards, and engage in the entire software development lifecycle...

As a Lead Machine Learning Engineer at Ramboll Tech, you will play a pivotal role in creating cutting-edge AI solutions while nurturing a collaborative and growth-oriented culture. In this position, you will work closely with product owners, Chapter leads, and global ML Engineers to define technical roadmaps, implement best practices, and deliver impactful AI solutions. Your responsibilities will include defining architectural patterns for scalable LLM pipelines, integrating external knowledge bases, researching and developing effective RAG architectures, exploring state-of-the-art LLMs, evaluating and optimizing models, and driving continuous improvement through experimentation. Additionall...

As a Senior Data Scientist in the Data & Analytics field, you will be responsible for a variety of tasks that involve advanced analytics, modeling, data strategy, engineering collaboration, business impact, AI strategy, thought leadership, mentorship, and technical expertise. You will design and implement advanced machine learning models, including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions such as GPT, LLaMA, and Claude. Additionally, you will develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Your role will also involve fine-tuning or prompt-engine...

Postman is the world's leading API platform, used by more than 35 million developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration, enabling users to create better APIs, faster. The company is headquartered in San Francisco and has an office in Bangalore, where it was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Postman is the world's leading collaboration platform for API development. Postman's features simplify each ste...