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Software Engineer - AI Agents

cognite · 30+ days ago

Bengaluru

Negotiable

Full-time

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About Cognite

Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge 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 digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future.

Learn more about Cognite here

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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 Solutions 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 🤝

- ITPL office location (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 sustainabilityfor 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's 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're 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.

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Last updated on Sep 6, 2024

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