6 Retrieval Systems Jobs

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. Collaboration with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility is essential. Strong analytical and problem-solving skills, excellent communication skills, and the ability to work effectively in a team environment are also required. Primary skills include hands-on experience in Natural Language Processing (NLP) covering various aspects such as use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Proficiency in Computer Vision and Audio, as well as Generative AI with SaaS LLMs and familiarity with Open-source LLMs, cloud platforms, and application development are also important. The ideal candidate should have over 10 years of experience in Machine Learning (ML) & Deep Learning, Generative AI, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Data Engineering, Search and Retrieval Systems, Prompt Engineering, Programming & Libraries, Database Management, APIs & Integration, and Evaluation & Benchmarking. Expertise in tools and techniques such as Python, PyTorch, Hugging Face, Git, cloud platforms, SQL and NoSQL databases, RESTful APIs, and evaluation metrics for generative models is required. If you are passionate about working with a high-performing team and enjoy exploring new challenges, this opportunity at Fractal might be the perfect fit for you.,

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. Additionally, you will establish coding standards, mentor ML engineers, and ensure the success of ML-Ops for your Pod. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science or a related field, along with a minimum of 5 years of experience in implementing machine learning projects. Strong leadership skills, expertise in LLM and RAG architectures, proficiency in modern Transformer-based LLMs, and experience with programming tools like Python, PyTorch, TensorFlow, and deployment tools such as Docker and Kubernetes are essential. At Ramboll Tech, our team culture values curiosity, optimism, ambition, and empathy. We prioritize open communication, collaboration, and continuous learning, while fostering diversity and inclusivity within our workplace. As part of a global architecture, engineering, and consultancy firm, we are committed to sustainability, innovation, and creating a livable world where individuals can thrive in harmony with nature. If you are passionate about driving innovation, leading technical projects, and contributing to a dynamic team environment, we encourage you to apply for this role. Submit your CV and a cover letter through our application tool to begin the conversation about joining our team at Ramboll Tech. For any inquiries or requests regarding the application process, please contact us at [email protected],

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-engineering foundation models for domain-specific applications and evaluating and optimizing LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Collaboration with data and ML engineering teams will be crucial as you work closely to integrate LLM-powered applications into scalable, secure, and reliable pipelines. You will contribute to the development of retrieval-augmented generation architectures using vector databases and support the deployment of models using MLOps principles. Partnering with cross-functional stakeholders, you will identify opportunities for applying LLMs and generative AI to solve complex business challenges. Leading workshops or proofs-of-concept will be part of your responsibilities to demonstrate the value of LLM use cases across business units. You will also translate complex model outputs into clear insights and decision support tools for non-technical audiences. As an internal thought leader on AI and LLM innovation, you will keep the organization at the forefront of industry advancements. Mentoring and upskilling data science team members in advanced AI techniques and contributing to strategic roadmaps for generative AI and model governance within the enterprise will be key aspects of your role. To qualify for this position, you should have education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline, along with 5+ years of hands-on experience in data science. Demonstrated success in deploying machine learning and NLP solutions at scale and proven experience with cloud AI platforms are required. Proficiency in Python and SQL, experience with prompt engineering, fine-tuning, and LLM orchestration tools, familiarity with data storage and retrieval systems, and strong understanding of model evaluation techniques for generative AI are also necessary. Additionally, you should possess leadership skills and be a strategic thinker with the ability to align AI initiatives to business goals. Excellent communication and storytelling skills are crucial for articulating the value of LLMs and advanced analytics. Strong collaboration skills and the ability to influence stakeholders across various teams are also essential. Preferred qualifications for this role include experience with IoT, edge analytics, or smart building systems, familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks, and knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.,

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 step of building an API & streamline collaboration to help create better APIs faster. More than 30 million developers & 500,000 organizations worldwide use Postman today, and we continue to strive humbly towards our mission of 100 million connected developers & serving companies as they seek to innovate in an API-first world. Our customers are doing more and more astounding things with the Postman product every day, and as a result, we are growing rapidly. Are you excited about AI's potential Do you want to work toward the goal of using AI to help millions of developers be more effective at their jobs At Postman, one of our goals is to create net new developers in the world, and we believe products like Postbot, an AI Assistant for our users, will play a vital role in this journey. To help us with this, we're seeking exceptional engineers to join us. As an AI Software Engineer, you will work with a talented team of engineers, researchers, design and Product teams, to design and implement key components on developing and implementing AI-powered products and workflows into Postman's product. Utilize your expertise to develop new agent architectures, design and manage data pipelines, run evaluations, and propose solutions to enhance output quality. Embrace uncertainty with confidence by prioritizing meaningful machine-learning experiments that enhance our products. Take the initiative to lead projects collaboratively, ensuring they flourish from inception to completion. Design, monitor, and analyze experimental results efficiently. Document findings thoroughly, conduct ablation studies, and effectively transform data into actionable insights. Collaborate with cross-functional teams to deliver product features on time across Postman's product stack. Ship with high intent and work with the team to improve your ability to iterate and ship AI-powered features over time. You might be a good fit if you have 6+ years of experience in AI/ML research and development, a Masters or Bachelor's degree in Computer Science, AI, Machine Learning, or a related field. Have expertise in improving our models and building evaluations for model capability improvement. Hands-on experience with LLMs, Transformer models, and generative AI techniques. Working experience in retrieval systems, inference engines. The ability to design and run ML research experiments, engineer prototypes, and build infrastructure and tooling for processing data. Strong programming skills in Python and knowledge of ML libraries like Scikit-learn, LLM Model API, or LLM frameworks. A "validate first and perfect later" mentality and curiosity about how things work inside the hood. Self-driven, self-motivated, able to work independently and in a team. Published work at top conferences such as ICLR, ICML, NeurIPS, ACL, and EMNLP would be a nice to have, as well as open-source projects. At Postman, we embrace a hybrid work model. For all roles based out of San Francisco Bay Area, Boston, Bangalore, Noida, Hyderabad, and New York, employees are expected to come into the office 3-days a week. Our Values include creating with curiosity, transparency, focusing on specific goals, an inclusive work culture, and delivering the best products we can.,

Job Opportunity: Artificial Intelligence Developer (Remote | 01 Year Experience) Location: Work from Home Experience: 01 Year (Full-time internship or junior developer experience required) About Debales.ai is a fast-growing B2B technology company focused on building intelligent, scalable, and user-centric solutions for businesses across the globe. Our product suite includes custom Shopify applications , browser-based widgets , and npm packages , empowering digital transformation and automation for modern enterprises. We are passionate about innovation, collaboration, and solving real-world problems with cutting-edge technology. Key Responsibilities:- 1. Collaborate with our team of AI experts to develop and deploy AI modelswith end to end AI/ML systems. 2. Assist in analyzing and interpreting complex data sets to drive business insights 3. Contribute to the design and implementation of machine learning algorithms 4. Proficiency in programming languages like Python, with experience in frameworks like LangChain 5. Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) 6. Strong understanding of retrieval systems and vector databases (e.g., Pinecone, Weaviate) 7. Experience deploying solutions on cloud platforms (AWS, Azure, or Google Cloud) 8. Familiarity with chatbot frameworks and APIs for integration 9. Experience in building conversational AI solutions for specific industries or applications 10. Knowledge of prompt engineering and fine-tuning LLM 11. Knowledge of N8N and Lang flow 11. Knowledge or have worked with agents,tools and built multi agentic architecture. The ideal candidate is a creative problem solver who will work in coordination with cross-functional teams to design, develop, and maintain our next generation websites and web tools. You must be comfortable working as part of a team while taking the initiative to take lead on new innovations and projects. Qualifications Bachelor&aposs degree or equivalent experience in Computer Sciencewith 6 to 12 months of experience. Previous experience in using HTML, CSS, and JavaScript Proficiency in at least one server-side technology (Java, PHP, NodeJS, Python, Ruby Ability to multi-task, organize, and prioritize work Preferred Skills:- Artificial intelligence Data Science Data Structures Deep Learning Machine Learning Natural Language Processing (NLP) Neural Networks Python Show more Show less

As a Senior AI Engineer at Genloop, you will play a crucial role in bringing AI research to fruition by bridging the gap between theoretical concepts and practical applications. Your responsibilities will include scaling research prototypes into production systems, integrating AI models into real-world workflows, and enhancing domain intelligence for applications such as personalized business insights over structured enterprise data. Collaboration with researchers, designers, and product teams will be essential to deliver fast, reliable, and highly valuable features. Your key responsibilities will involve transforming research prototypes into robust and scalable APIs and services, developing end-to-end AI features that enhance user experience and utility, and working closely with research and frontend teams to create seamless AI-powered workflows. You will be responsible for ensuring engineering quality by writing clean and testable code, establishing CI/CD pipelines, and implementing monitoring and observability practices. Additionally, you will contribute to applied research modules, mentor junior engineers, and promote a culture of engineering excellence within the organization. To excel in this role, you should have a minimum of 3 years of experience in building and deploying AI systems in production environments. Strong fundamentals in data structures, system design, and coding best practices are necessary. Hands-on experience with model serving and inference, retrieval systems, relational databases, and structured data integration is required. Proficiency in logging, monitoring, and debugging for ML pipelines, as well as familiarity with GenAI building blocks, dev tooling, and cloud platforms, will be advantageous. Candidates with a background from a Tier 1 college or those who have developed widely used products will be preferred. Genloop, a research-oriented AI company, focuses on creating customized AI systems that continuously learn and adapt to enterprise domains. By integrating open-weight LLMs with domain memory and self-improving intelligence through feedback loops, Genloop aims to build high-impact AI solutions. Joining Genloop offers competitive salaries, meaningful equity, and benefits tailored to support your professional growth. Genloop is an Equal Opportunity Employer that values diversity and inclusivity, fostering a workplace where all voices are heard, and great ideas are welcomed from every corner.,