Software Engineer

About Cognite

Join Cognite, a global SaaS forerunner leveraging AI and data to solve complex business challenges with offerings including Cognite Atlas AI and Cognite Data Fusion (CDF). We value impact, ownership, and relentless innovation and welcome candidates from diverse backgrounds to join our Bangalore team.

Agent framework architecture and development

The Industry Innovation and Solutions Team enriches Cognite products and platforms by developing “pathways to product”—creating innovative solutions, repeatable templates, and frameworks. This team delivers advanced domain and technology advisory services to drive customer success and helps land initial offerings while integrating Cognite products with tailored services.

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.

Requirements

• 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.

We encourage you to follow Cognite on LinkedIn; we post all our openings there.