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Full Stack Engineer

Cognite

Karnataka, India (Hybrid)

Full Stack Engineer

1 Day ago • 5 Years +

Job Summary

Job Description

The Full Stack Engineer at Atlas AI will work on building cutting-edge Industrial agents and GenAI powered solutions for strategic customers. They will closely collaborate with the Senior Full Stack Engineer to extend Atlas AI capabilities on Cognite Data Fusion for selected customers. This role involves using AI and ML models, and services as part of the Cognite Data Fusion SaaS platform. The engineer will design integrations and data models using Cognite data connectors, platform components, SQL, Python/Java and Rest APIs. Responsibilities include designing, developing, and implementing generative AI solutions with a focus on AI agents and multi-agent systems to enhance customer experiences and drive business innovation. They will collaborate with cross-functional teams to understand requirements and translate them into technical specifications. Additionally, the engineer will develop scalable AI solutions including AI agents that integrate seamlessly with existing systems, utilizing cutting-edge technologies.

Must have:

5+ years of software engineering experience with at least 2+ years in AI.
Proven experience in developing and deploying multi-agent systems (Mandatory experience).
In-depth knowledge of Retrieval-Augmented Generation (RAG) systems.
Proficiency in Python, JavaScript, or other relevant programming languages.
Strong problem-solving skills and ability to think critically about complex systems.

Good to have:

Experience with knowledge graphs, graph databases, or related technologies.
Experience in the industrial sector or with industrial data.
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.

Perks:

Join an organization of 70 different nationalities with Diversity, Equality, and Inclusion (DEI) in focus.
A highly modern and fun working environment with sublime culture.
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.
Hybrid work environment globally.

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

innovation

sql

data-structures

python

data-analytics

communication

saas-business-models

java

javascript

algorithms

ci-cd

kubernetes

spark

azure

aws

Job Details

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

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.

About Atlas AI

Our ambition with Cognite Atlas AI is to build the framework and the industrial agents that will truly revolutionize how manufacturing and energy are operated. This framework and these agents cannot happen without Cognite Data Fusion and its industrial fluency (from data types to simulators and specialized data models on its knowledge graph).

Atlas AI has the potential to position Cognite as the operating system for industry. To ensure that we reach this goal we have to proactively engage with the market and anchor this vision with all influential stakeholders. We need to garner active support from industry leaders, government bodies and the ecosystem of suppliers and service companies to commit to the journey. This means convincing them of the uniqueness of our approach and engaging in concrete projects on the path to this vision.

The Atlas AI team and more specifically its deeply technical co-innovation team will execute the delivery of co-innovation projects on Cognite Data fusion leveraging Atlas AI. The Technical Senior Full Stack Engineer will be part of the co-innovation pod that will closely engage with strategic clients to extend Atlas AI capabilities to deliver innovative solutions and expand our understanding of GenAI value for Industry.

Role and responsibilities

As a Full Stack Developer Atlas AI, you will work on building cutting edge Industrial agents and GenAI powered solution for selected strategic customers
You will closely with the Senior Full Stack Engineer Atlas AI on building custom AI solutions on top of Cognite Data Fusion for selected strategic customers
Use AI and ML related models, and services as part of the Cognite Data Fusion SaaS platform
Ensure that 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

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.