56 Vector Database Jobs - Page 3

Job Title: Senior Software Engineer / Tech Lead - Full Stack (React, Python, MongoDB, AI) Location: Bangalore, India (On-site) Type: Full-time Experience: 4 -10 years About the Role We are looking for a Senior Software Engineer / Tech Lead to join our fast-growing engineering team in Bangalore . This is a high-impact role for someone who thrives in a product company environment , enjoys solving complex problems, and can deliver secure, scalable, and AI-enabled systems fast. Youll work across the stack with ReactJS, Python, and MongoDB , integrating AI models or APIs where it drives real value. You bring a delivery-first mindset , care deeply about performance, scalability, and security , and are passionate about building high-quality production code that moves the needle for the business. What Youll Do Build and ship end-to-end features using React (frontend) , Python (backend APIs) , and MongoDB (data layer) . Contribute to architectural decisions, system design, and product shaping discussions. Integrate AI/ML models or LLM APIs into real-world product workflows. Deliver clean, maintainable, production-ready code — fast. Collaborate with product managers, designers, and other engineers to iterate quickly and smartly. Ensure systems are high-performing, secure, and scalable from day one. Own your work with pride and push for continuous improvement in code quality and delivery velocity. What We’re Looking For 4–10 years of experience in software development at product companies (mandatory). Strong proficiency in: ReactJS (modern component patterns, performance tuning) Python (FastAPI, Flask, Django) MongoDB (schema design, indexing, performance optimization) Hands-on experience in building and maintaining production systems with real users. Familiarity with AI/ML APIs , LLMs, or intelligent feature integrations is a strong plus. Experience working with cloud-native architectures (AWS/GCP), containerization (Docker), and CI/CD pipelines. A business-aware mindset — you understand the “why” behind what you build. Strong ownership, collaboration, and problem-solving skills. Bonus Points Exposure to Vector Databases , or AI agents . Built software in early-stage startups or fast-growing B2B platforms . Passion for shipping fast without compromising stability or scale. Why Join Us Join a mission-driven product company building intelligent, real-world solutions. Work in a builder-led, high-ownership culture Collaborate with world-class talent across engineering, product, and AI. If you’re passionate about building smart, scalable, and meaningful products — this is your platform.

Are you ready to shape the future of AI? As a Mid-Level Generative AI Engineer at Techolution, you'll be at the forefront of innovation, fine-tuning cutting-edge LLMs like Falcon, LLaMA, and PaLM 2. Dive deep into the world of NLP, vector databases, and deep learning frameworks to create groundbreaking solutions. Your expertise in Python, PyTorch, and TensorFlow will drive the development of next-generation AI applications. Join our dynamic team and turn visionary concepts into reality, while collaborating with cross-functional experts to integrate ML solutions that redefine industries. Designation: Generative AI Engineer Location: Hyderabad, India Employment Type: Full Time Expertise: Mid-Level Key Responsibilities Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation. Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments. ¢ Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance. ¢ Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks. ¢ Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions. ¢ Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems. ¢ Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations. ¢ Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization. ¢ Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation. ¢ Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations. Foundational Skills ¢ Large Language Models (LLMs): Proven expertise in working with state-of-the-art LLMs, including fine-tuning, prompt engineering, and integration into production systems. ¢ Retrieval-Augmented Generation (RAG): Demonstrated ability to implement RAG techniques to enhance AI model performance and accuracy in information retrieval tasks. ¢ Fine-tuning: Proficiency in adapting pre-trained models to specific domains and tasks, optimizing their performance for targeted applications. ¢ Vector Databases: Hands-on experience with vector databases for efficient storage and retrieval of high-dimensional data in AI applications. ¢ Deep Learning: Strong foundation in deep learning principles and architectures, with the ability to apply them to solve complex real-world problems. ¢ Generative AI: Comprehensive understanding of generative AI techniques and their practical applications in various industries. ¢ AI Agents: Experience in designing and implementing AI agents that can autonomously perform tasks and make decisions. ¢ Ownership: Demonstrated ability to take full responsibility for projects, driving them from conception to successful completion. ¢ Seeker Mindset: Proactive approach to learning and exploring new technologies, constantly seeking ways to improve and innovate. ¢ Passionate Towards Work: Genuine enthusiasm for AI and its potential to transform industries, reflected in a commitment to excellence and continuous improvement. ¢ Extremely Ambitious: Drive to push boundaries and set high goals, both personally and for the team, to achieve groundbreaking results in AI development. ¢ Ability to Comprehend: Exceptional skill in quickly grasping complex AI concepts and translating them into practical, impactful solutions. Advanced Skills ¢ Computer Vision: Familiarity with computer vision techniques and frameworks, enabling the integration of visual data processing capabilities into AI solutions. ¢ Cloud Deployment: Experience with deploying AI models and applications on cloud platforms, ensuring scalability and reliability in production environments. ¢ Leadership Experience: Prior experience in leading small teams or mentoring junior engineers, demonstrating potential for future growth into leadership roles within the AI department. How to Apply If you are passionate about leveraging AI technologies to create impactful solutions and meet the qualifications listed above, we invite you to apply for this exciting opportunity by sharing your video resume. We look forward to hearing your story and exploring how your skills align with the goals of our team. As an equal opportunity employer, Techolution celebrates diversity and is committed to creating an inclusive environment for all employees. About Techolution At Techolution, we specialize in building custom AI solutions that deliver innovation and drive measurable outcomes for enterprises worldwide. With our specialized expertise we help businesses take AI from their labs into the real world. What We Do As your one-stop shop engineering firm, Techolution guides you from ideation to ROI realization. We ensure real-world AI success by minimizing R&D risks for our clients with our innovative fixed-bid pricing model. Our Unique Value Proposition ¢ White Glove Service: From Ideation Innovation Integration, we lead the way to deliver meaningful outcomes, enabling your team to operate AI solutions independently. ¢ Human-AI Partnership: Our Govern Guide Control (GGC) framework ensures responsible AI governance, aligning solutions with your organizational requirements and brand identity. ¢ Customized AI Solutions: We tailor AI to your enterprise needs, delivering from concept to implementation with our turnkey approach at a guaranteed price. Our Impact Techolution has partnered with 300+ clients worldwide, including 50+ Fortune 500 companies. Our growing team works across diverse sectors such as healthcare, education, retail, media, tech, banking, fintech, government, telecom, and manufacturing. Celebrating 9+ years in business, we are committed to AI Done Right! Awards & Recognition ¢ 2024: Forbes publishes the best-selling book by our CEO, "Failing Fast?: The 10 Secrets to Succeed Faster." ¢ 2023: AI Solutions Provider of the Year - AI Summit ¢ 2022: Best in Business Award - Inc. Magazine ¢ 2021: Best Cloud Transformation Consulting - CIO Review ¢ 2019: Inc. 500 Fastest Growing Company Award Take a Look At Our Accelerators ¢ Enterprise LLM Studio ¢ AppMod.AI ¢ ComputerVision.AI ¢ Robotics and Edge Device Fabrication ¢ RLEF AI Platform Some Videos You Wanna Watch! ¢ About Techolution ¢ Transform Customer Service with Techolution ¢ GoogleNext 2023 ¢ Conversational AI for Enterprise ¢ Realytics AI Success Story Visit us at www.techolution.com to know more about our revolutionary core practices and how we enrich the human experience with technology.

Position - AI Engineer As an AI Engineer, you will design, implement, and optimize machine learning models and AI systems to solve complex problems. You will work closely with cross-functional teams to integrate AI solutions into our products and services, ensuring scalability and efficiency. Key Responsibilities: Application Development: Design and develop AI-powered applications using state-of-the-art LLM models and generative AI techniques. Implement scalable solutions that integrate LLM-powered tools into existing workflows or standalone products. Model Optimization: Fine-tune pre-trained LLM models to meet specific application requirements. Optimize model performance for real-time and high-throughput environments. LLMOps Implementation: Develop and maintain pipelines for model deployment, monitoring, and retraining. Set up robust systems for model performance monitoring and diagnostics. Ensure reliable operations through analytics and insights into model behavior. Vector Databases and Data Management: Utilize vector databases for efficient storage and retrieval of embeddings. Integrate databases with LLM applications to enhance query and recommendation systems. Collaboration and Innovation: Work closely with cross-functional teams, including product managers, data scientists, and software engineers. Stay up-to-date with advancements in generative AI and LLM technologies to drive innovation. Skills and Experience 3+ years of experience in AI/ML development, with a focus on generative AI and LLMs. Proficiency in programming languages such as Python and frameworks like PyTorch or TensorFlow. Hands-on experience in fine-tuning and deploying LLM models (e.g., GPT, BERT, etc.). Familiarity with LLMOps practices, including pipeline automation, monitoring, and analytics. Experience with vector databases (e.g., Pinecone, Weaviate, or similar). Strong knowledge of natural language processing (NLP) and machine learning principles. You should certainly apply if: Understanding of MLOps principles and cloud platforms (AWS, GCP, Azure). Familiarity with prompt engineering and reinforcement learning from human feedback (RLHF). Experience in building real-time applications powered by generative AI. Knowledge of distributed systems and scalable architectures.

Job Title: Technology AI Engineer Location: Gurugram (Onsite) Experience: 2+ Years Budget: Open Job Overview: We are looking for a highly skilled Technology AI Engineer who is proficient in both front-end and back-end development. The ideal candidate should have hands-on experience working with Large Language Models (LLMs), AI architecture, data structures, and AI prompt engineering . The role requires expertise in building APIs , working with OpenAI, Llama, and Anthropic models , and creating scalable AI-powered applications. Key Responsibilities: Develop and optimize AI-based applications leveraging LLMs. Design and implement scalable AI architectures and data structures to support AI functionalities. Build and manage AI-driven APIs for back-end integration. Work with OpenAI, Llama, and Anthropic models to develop AI solutions. Collaborate with data scientists and AI researchers to fine-tune and deploy models. Develop secure and efficient backend services using modern frameworks. Implement front-end components to integrate AI capabilities into user interfaces. Monitor and improve the performance of AI-driven applications. Required Skills & Qualifications: 2+ years of experience in Full Stack Development (Frontend & Backend) Strong experience in AI Model Integration (OpenAI, Llama, Anthropic) Solid understanding of AI architecture and data structure development Expertise in API Development and AI-driven applications Proficiency in Python, JavaScript, or similar technologies Hands-on experience with cloud platforms (AWS, GCP, or Azure) Experience with Vector Databases and Retrieval-Augmented Generation (RAG) is a plus Strong problem-solving skills and ability to optimize AI workflows

As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI and ML to improve performance and efficiency. Your typical day will involve working with LLMs, deep learning, neural networks, chatbots, natural language processing, and Cloud Data Architecture. Roles & Responsibilities: - Design and develop scalable and reliable AI-based applications and systems using Azure Cloud Data Architecture. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and maintain AI models, including deep learning, neural networks, chatbots, and natural language processing. - Ensure AI-based applications and systems' performance, scalability, and reliability. - Stay updated with the latest advancements in AI and machine learning technologies and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must have Skills: Azure AI studio, Azure Open AI, and Cloud Data Architecture. - Must have experience in writing custom LLMs - Strong understanding of AI and machine learning technologies, including deep learning, neural networks, chatbots, and natural language processing. - Experience in designing and developing scalable and reliable AI-based applications and systems. - Experience in implementing and maintaining AI models. - Experience in ensuring AI-based applications and systems' performance, scalability, and reliability. - The candidate should have a minimum of 4 years of experience in AI/ML and cloud. - The ideal candidate will possess a strong educational background in computer science, AI, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

Role & responsibilities Urgent Hiring for one of the reputed MNC Immediate joiners Only Females Bang / Pune / Hyd Exp - 4 - 12 Years Job Description: Senior Data Scientist - Multi-Agent AI Systems About the Role We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Key Responsibilities Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems Develop robust evaluation frameworks to measure and improve multi-agent system performance Implement efficient knowledge sharing mechanisms between AI agents Write clean, efficient, and well-documented Python code for production-ready AI systems Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions Required Qualifications Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field 4+ years of professional experience in data science or machine learning engineering Extensive experience with Python programming and related data science/ML libraries Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models) Proven experience building RAG-based systems and implementing vector databases Strong background in prompt engineering for large language models Experience designing and implementing generative AI-based multi-agent architectures Excellent problem-solving skills and ability to optimize complex AI systems Preferred candidate profile Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems Familiarity with orchestration tools for managing complex AI workflows Knowledge of agent communication protocols and collaborative problem-solving frameworks Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure) Contributions to open-source AI projects or research publications in relevant fields Experience with knowledge graphs and semantic reasoning systems Familiarity with MLOps practices and deployment of AI systems at scale