5 Multi-Agent Systems Jobs

About Cognite Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. Learn More About Cognite Here Cognite Product Tour 2024 Cognite Product Tour 2023 Data Contextualization Masterclass 2023 Our values Impact : Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves. Ownership : Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless : Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. Agent framework architecture and development The Industry Innovation and Solutions Team enriches and augments Cognite products and platforms by developing pathways to product by creating innovative solutions, repeatable templates, and frameworks. The team comprises cross-functional and cross-technology experts responsible for delivering advanced domain and technology advisory services that drive the success of customer engagements. This team plays a pivotal role in landing initial offerings and integrating Cognite Products with tailored services, ensuring that our solutions meet the evolving needs of our clients and driving customer success. The team maintains a keen awareness of the competitive and partnering ecosystem, providing strategic insights that address key business and technical challenges our customers face. The team is deeply involved in programs to improve operational efficiency, repeatability, and scalability. Software Engineers within the team develop software components, implement Cognite software and products and enable our delivery resources to execute projects more effectively, thereby enhancing the overall success of our engagements. We are seeking a highly skilled and innovative Software engineer with expertise in Generative AI and associated technologies to join our team in Bangalore. In this role, you will be responsible with a strong emphasis on designing, developing, and implementing cutting-edge generative AI solutions that drive business innovation and enhance customer experiences. for developing a cutting-edge multi-agent framework based solution built on top of our Cognite Data Fusion and Cognite Atlas AI and additional ecosystem advanced AI technologies. This role will enable our clients to deploy intelligent agents that can autonomously interact with, manage, and optimize complex industrial processes by leveraging the power of knowledge graphs, AI, and evolutionary algorithms. The ideal candidate will have deep expertise in AI agents, multi-agent systems, and a wide range of generative AI technologies and frameworks. As a Software Engineer, you will collaborate closely with cross-functional teams to understand business requirements, translate them into technical specifications, and architect scalable AI solutions that integrate seamlessly with existing systems. You will collaborate with Product, Global Customer Success and Sales to drive the development of AI frameworks, and tools, focusing on generative AI, AI agents, and the latest AI technologies. Additionally, you will provide technical leadership, mentor software engineers, and stay ahead of the latest trends in AI to ensure our solutions remain at the forefront of the industry. Your contributions will be critical in developing AI agents that can autonomously execute tasks, adapt to changing environments, and interact effectively with users and other systems, leveraging the latest advancements in AI & generative AI. A typical day as a Cogniter will contain the following tasks & responsibilities As a Software Engineer, you will collaborate with solutions architects and global delivery teams to develop solutions and applications on Cognite products and platform Integrations are well thought out and robust Important quality criteria for the solution are met (E.g. CI/CD, logging, security) Develop technology components in alignment with the overall technical solution and ensure technical fit within the customer ecosystem and target architecture Design integration and data model using Cognite data connectors, Cognite platform components, SQL, Python/Java and Rest APIs Design, develop, and implement generative AI solutions with a strong focus on AI agents, multi-agent systems, and the latest generative AI technologies to drive business innovation and enhance customer experiences. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for generative AI solutions. In collaboration with Solutions architects, develop scalable AI solutions, including AI agents, that integrate seamlessly with existing systems and leverage cutting-edge technologies. Develop and deploy AI agents capable of autonomous task execution, environment adaptation, and effective interaction with users and systems, utilizing the latest generative AI frameworks and models. Vector Database Proficiency: Knowledge of vector databases like Pinecone, Milvus, Weaviate, or Faiss, including their architecture and use cases. Vector Embedding Creation: Experience in generating vector embeddings from textual, visual, or other data using common industry models. Skills in creating, managing, and optimizing indexes for efficient similarity search within vector databases, including knowledge of ANN search algorithms. Data Ingestion and Querying: Proficiency in ingesting large datasets into vector databases and writing optimized queries for complex similarity searches. Scaling and Performance Tuning: Ability to scale vector databases to handle large datasets and optimize search performance through resource management and index tuning. Document Retrieval and Prompt Engineering: Skills in designing effective document retrieval strategies and crafting prompts that leverage retrieved documents in the generation process. Data Pipeline and Deployment: Expertise in managing data pipelines for RAG systems, from ingestion to retrieval and generation, and deploying RAG systems at scale. We Believe Most Of These Should Match Your Experience 2 to 5+ years of experience in software engineering, with a focus of at least 2+ years in AI and 1+ years on Generative AI, machine learning, or intelligent systems. Proven experience in developing and deploying multi-agent systems, preferably using frameworks like LangChain. (Mandatory experience) Experience with knowledge graphs, graph databases, or related technologies. RAG Architecture Understanding: In-depth knowledge of Retrieval-Augmented Generation (RAG) systems, integrating retrieval with generative models to produce informed responses. Model Integration and Fine-Tuning: Experience in integrating and fine-tuning pre-trained models with retrieval systems in RAG pipelines for enhanced performance Proficiency in Python, JavaScript, or other relevant programming languages. Deep understanding of multi-agent frameworks, including agent communication, decision-making, and learning strategies. Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes). Experience with API development and integration. Strong problem-solving skills and the ability to think critically about complex systems. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Ability to work in a fast-paced, collaborative environment and manage multiple priorities. Experience in the industrial sector or with industrial data. (Not mandatory) Knowledge of big data technologies (e.g., Hadoop, Spark) and real-time processing frameworks. Data Handling and Storage: Proficiency in reading and writing data in various formats (CSV, JSON, SQL) and using storage tools like SQLite and SQL databases. Join the global Cognite community! ???? Join an organization of 70 different nationalities ???? with Diversity, Equality and Inclusion (DEI) in focus ???? Office location Rathi Legacy (Rohan Tech Park ) Hoodi (Bengaluru) A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @ cognitedata ???? to know more Flat structure with direct access to decision-makers, with minimal amount of bureaucracy Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ????? to be part of the conversation directly with Cogniters and our partners. Hybrid work environment globally Why choose Cognite ???? ???? Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC&aposs top global enterprise technology startups powering digital transformation ! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader ! ???? Most recently Cognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins ???? Apply today! If you&aposre excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. We encourage you to follow us on Cognite LinkedIn ; we post all our openings there. Show more Show less

Senior GenAI & Agentic AI Expert (Architect) Relocation to Abu Dhabi, UAE Location: Abu Dhabi Client: Abu Dhabi Government About The Role Our client, a global consulting firm with distributed teams across the US, Canada, UAE, India, and PK, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has a total of 12 to 20+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to relocation to UAE Why Join Work on UAE Government project(s) Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and PK Competitive compensation + long-term career roadmap Skills: memory/context management,apis integration,enterprise-grade security,crewai,saas products integration,aws,semantic kernel,prompt engineering,openai,node.js,multi-agent systems,azure,databases integration,gemini,cost efficiency,embedding models,rag,autogpt,performance optimization,llm frameworks,agentic ai,generative ai,langchain,gcp,python,vector databases Show more Show less

Job Title: AI Engineer Experience: 3 - 5 Years Location: Jagatpura, Jaipur Type: Full-Time Kindly share your CV at shubhanshu.mishra@dotsquares.com Job Summary: We are seeking a highly skilled AI Engineer (Senior Python Developer) with 3- 5 years of experience, including at least 3+ years of hands-on expertise in LLM implementation , Retrieval-Augmented Generation (RAG) architectures, and multi-agent systems . This role is ideal for someone who enjoys working across the stack from data engineering and scalable backend APIs to cutting-edge Generative AI and MLOps workflows. You will take full ownership of building production-grade AI applications and intelligent systems, collaborating cross-functionally with stakeholders and product teams. Key Responsibilities: Design and develop AI applications using Large Language Models (LLMs) , RAG , and multi-agent architectures . Build high-performance APIs using FastAPI , including scalable, secure, and well-documented endpoints. Lead development of Generative AI-based conversational agents (text and voice) with support for low-latency communication and WebSocket integrations. Architect end-to-end solutions integrating vector databases (FAISS, pgvector, Chroma, Pinecone) for semantic and embedding-based search. Develop efficient ETL and data pipelines using Pandas, PySpark, and SQL. Apply and optimize caching techniques (Redis, memory-based) and background task queues using Celery . Ensure robust MLOps workflows : CI/CD for ML, model versioning, monitoring, retraining, deployment, and registry. Perform database integration with relational and NoSQL systems ( MySQL, PostgreSQL, MongoDB ). Write optimized and complex SQL queries for reporting, analytics, and dynamic retrieval. Deploy scalable services and ML models in cloud environments such as AWS , Azure , or GCP . Communicate effectively with technical and non-technical stakeholders; gather requirements and translate them into actionable solutions. Must-Have Skills: Python (Expert) with strong fundamentals and extensive experience in Pandas and PySpark . Hands-on experience with LLMs , RAG , multi-agent systems , and GenAI applications. Strong knowledge of FastAPI for API development. Advanced proficiency in SQL capable of writing efficient, optimized, and analytical queries. Experience with vector databases : FAISS, pgvector, Chroma, Pinecone. Background task orchestration using Celery . Redis and memory-based caching for performance. Strong system design and problem-solving skills. Experience with MLOps practices and tools (model registry, CI/CD, retraining, serving, monitoring). Hands-on with MySQL , PostgreSQL , and NoSQL databases (e.g., MongoDB). Strong verbal and written communication; ability to interface directly with clients and stakeholders. Experience deploying in cloud environments AWS, Azure, or GCP. Good to Have: Experience with WebSocket for real-time, low-latency systems. Conversational AI involving voice + text interfaces . Fine-tuning or retraining open-source LLMs (e.g., LLaMA , Falcon , Mistral ). Familiarity with MCP architecture (Model-Context-Prompt) for GenAI systems. Exposure to Docker , Kubernetes , and scalable ML deployment patterns. Experience with ETL orchestration tools like Airflow, Prefect (if applicable). Qualifications: Bachelors or Masters degree in Computer Science , Artificial Intelligence , Data Science , or a related field. 3- 5 years of experience in backend development and AI systems with at least 3 years in GenAI / LLM-based projects . Proven ownership of production-grade AI solutions and real-world deployment.

Role & Responsibilities Conduct original research on AI applications, focusing on machine learning algorithms and data-driven methodologies. Design, implement, and evaluate innovative algorithms to solve complex problems in various domains. Collaborate with cross-functional teams to integrate research findings into production systems and prototypes. Analyze and interpret large datasets to extract meaningful insights and validate research hypotheses. Stay current with the latest developments in the AI field and contribute to scholarly publications. Mentor junior researchers and contribute to a collaborative and stimulating research environment. Skills & Qualifications Must-Have Master's degree or PhD in Computer Science, Artificial Intelligence, or related field. Strong knowledge of machine learning and AI algorithms. Proficiency in Python programming for AI applications. Experience in statistical modeling and data analysis techniques. Hands-on experience with natural language processing (NLP) methods. Preferred Familiarity with deep learning frameworks such as TensorFlow or PyTorch. Experience in conducting peer-reviewed research and publications. Excellent problem-solving skills and creativity. Benefits & Culture Highlights Collaborative and innovative work environment that nurtures creativity. Opportunities for professional development and continuous learning. Supportive team culture valuing diversity and inclusion.

Job Description Summary role description: Hiring for a Solution Architect for an InsurTech platform provider, Life and Health Insurance. Company description: Our client is a VC-funded InsurTech platform company, providing software platforms for Life Insurance and Health Insurance companies across the globe. Leveraging their domain expertise, regulatory knowledge and technology experience, they architect innovative products and disrupt the Insurance value chain from Customer Acquisition to Engagement. Their products serve customers across the APAC region. Role details: Title / Designation : Solutions Architect Location: Pune/Mumbai Work Mode: Work from office Role & responsibilities: Define and evolve AI/ML architecture roadmap for FWA, IDP, and Agentic AI frameworks. Lead technical presentations and solution design sessions with customers. Design scalable architectures for multi-agent systems and autonomous decision-making. Drive innovation by evaluating emerging AI/ML technologies, especially AI agents. Architect cloud-native platforms supporting the complete AI/ML lifecycle. Provide technical leadership across product development and customer implementation. Collaborate with data scientists, engineers, and business stakeholders. Stay at the forefront of AI/ML innovations, particularly autonomous agents and LLMs. Establish and enforce technical standards and architectural guidelines. Candidate requirements: 10+ years in software architecture/system design in insurance domain, with 5+ years in AI/ML systems/platforms. Proven experience delivering large-scale AI/ML solutions, preferably with autonomous agents. Experience with cloud-native architectures (AWS, Azure, GCP), containerization (Docker, Kubernetes), and microservices. Deep expertise in AI/ML system architecture (model serving, MLOps/LLMOps pipelines, distributed computing). Strong understanding of Agentic AI, multi-agent systems, and LLMs (including LoRA, PEFT fine-tuning). Bachelor's or Master's in CS, SE, Data Science, or related technical field. Exceptional technical leadership and communication skills. Selection process: Interview with Senior Solution Architect Interview with CTO HR Discussion Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.