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We are looking for an experienced Principal Full Stack Engineer to lead the design, development, and delivery of scalable enterprise applications, AI-powered platforms, and cloud-native solutions across Azure and modern web technologies.
The role involves architecting end-to-end full stack systems, integrating GenAI and LLM capabilities, building scalable backend services and intuitive frontend applications, and driving engineering excellence through DevOps, automation, and modern software practices. The candidate will also mentor engineering teams and collaborate with business stakeholders to deliver high-quality digital products and intelligent solutions.
 
Key Responsibilities 
• Lead end-to-end architecture, design, and development of enterprise-grade full stack applications 
• Design and develop scalable frontend and backend systems using modern frameworks and cloud-native architectures 
• Build and integrate GenAI, LLM, and AI/ML-powered capabilities into enterprise applications 
• Develop reusable frameworks, APIs, microservices, and shared engineering components 
• Architect and implement hybrid cloud solutions on Azure and related ecosystems 
• Collaborate with business, product, and data teams to deliver scalable digital platforms and intelligent user experiences 
• Ensure application scalability, security, performance, observability, and governance best practices 
• Drive DevOps maturity through CI/CD pipelines, infrastructure automation, and deployment best practices 
• Lead technical decision-making, code quality initiatives, and engineering standards 
• Mentor engineers and provide technical leadership across multiple delivery teams 
• Support advanced analytics, data-driven applications, and AI platform integrations 
• Contribute to solution roadmaps, innovation initiatives, and enterprise modernization programsTechnical Skills 
Cloud &amp; Platforms 
• Microsoft Azure 
• Cloud-native architecture and distributed systems 
• Azure App Services, Azure Functions, Azure Kubernetes Service (AKS)Full Stack Technologies 
• Frontend: React, Angular, TypeScript, JavaScript, HTML5, CSS3 
• Backend: Node.js, .NET Core, Java Spring Boot, Python 
• API development using REST and GraphQL 
• Microservices and event-driven architecturesGenAI, AI/ML &amp; Data 
• Experience with Generative AI and LLM integrations 
• Exposure to AI/ML platforms and intelligent application development 
• Prompt engineering, AI orchestration frameworks, and model integration 
• Knowledge of vector databases, embeddings, and RAG-based architectures 
• Snowflake and modern data platform integration 
• Data modelling and data governance conceptsData &amp; Database Technologies 
• Experience in Azure SQL, Snowflake 
• Exposure to Cosmos DB, Vector DB 
• Experience in Data integration and enterprise data workflowsDevOps &amp; Engineering Practices 
• Azure DevOps, GitHub, CI/CD pipelines 
• Docker, Kubernetes, Infrastructure as Code 
• Automated testing, monitoring, and deployment strategiesProgramming Languages 
• JavaScript / TypeScript 
• Python 
• Java / .NET 
• SQLPreferred Skills 
• Experience building AI-powered enterprise applications 
• Exposure to LangChain, Semantic Kernel, OpenAI, or similar GenAI frameworks 
• Knowledge of scalable SaaS application architecture 
• Experience with security, authentication, and enterprise integration patterns 
• Strong understanding of software engineering best practices and design patterns 
• Experience working in Agile and distributed engineering environmentsLeadership Expectations 
• Strong stakeholder management and communication skills 
• Ability to drive architecture discussions and technology strategy 
• Experience leading large engineering teams and mentoring senior developers 
• Ownership mindset with focus on delivery excellence and innovation 
• Ability to balance technical depth with business outcomes

Bengaluru

Principal - Full Stack Engineer

Role Summary:
We are looking for an accountable, multitalented candidate to facilitate the operations. The Generative AI consultant must be able to develop, implement and deploy ML and Gen AI use cases across functions. The candidate should be adept at leading and conducting independent project work as well as participate in the transfer of knowledge from research to industry. The consultant will also have to collaborate with internal team and clients, to ensure that their approach meets the needs of each project. He/she should be able to deliver results according to project schedules while maintaining quality standards. The candidate will also be responsible to contribute towards organizational initiatives.
Job Responsibilities:
1. Substantial hands-on experience with data handling. Capable of managing large volumes of data, extract, clean and comprehend
2. Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and associates on a daily or periodic basis, contingent on the requirements of the project
3. Able to contribute meaningfully to brainstorming discussions around nuances of the project
4. Skilled in Machine Learning and Generative AI Algorithms (Prompting, RAG, Agents, LLMs etc)
5. Practical Experience and knowledge in AI Cloud Services (Azure, AWS, GCP etc.)
6. Good Knowledge on Natural Knowledge Processing, Verbatim Analysis &amp; Speech to Text / vice versa using few alternate approaches / techniques
7. Developing comprehensible analytical solutions to solve business problems using domain knowledge or
statistical procedures depending on the requirements of the project
8. Comfortable in representing the proceedings and/or findings in a power-point
9. Comfortable in mentoring junior resources, and creating an environment of learning in the team
10. Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies
11. Develop and define an area of expertise and take relevant trainings on the same for the organization
12. Contribute to org level activities, such as taking interviews
13. Work with team to estimate work effort
14. Understand the work methodology and be an active participant in strengthening the team
15. Liaising with coworkers and clients on several projects
16. Commitment to learning and continuous improvement
17. The candidate should be able to work under tight timelines with minimal supervision
Technical Competencies Required:
· Comfortable at solution design and storyboarding
· Machine Learning Algorithms - Primary &amp; Mandate
· Generative AI Algorithms – Primary and Mandate
· Python – Primary &amp; Mandate
· SQL, PowerPoint &amp; Excel - (good to have)
· PySpark, Scala is a plus. Familiarity with Deep Learning models, Bigdata environments – Hadoop, Hive, etc., and Cloud – AWS / Azure / GCP
· Visualization tools (good to have)

Consultant- Data Scientist with GenAI 

Role Summary:
We are looking for an accountable, multitalented candidate to facilitate the operations. The Generative AI consultant must be able to
develop, implement and deploy ML and Gen AI use cases across functions. The candidate should be adept at leading and conducting
independent project work as well as participate in the transfer of knowledge from research to industry. The consultant will also have to
collaborate with internal team and clients, to ensure that their approach meets the needs of each project. He/she should be able to deliver
results according to project schedules while maintaining quality standards. The candidate will also be responsible to contribute towards
organizational initiatives.
Job Responsibilities:
1. Substantial hands-on experience with data handling. Capable of managing large volumes of data, extract, clean and comprehend
2. Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and associates on a daily or
periodic basis, contingent on the requirements of the project
3. Able to contribute meaningfully to brainstorming discussions around nuances of the project
4. Skilled in Machine Learning and Generative AI Algorithms (Prompting, RAG, Agents, LLMs etc)
5. Practical Experience and knowledge in AI Cloud Services (Azure, AWS, GCP etc.)
6. Good Knowledge on Natural Knowledge Processing, Verbatim Analysis &amp; Speech to Text / vice versa using few alternate approaches
/ techniques
7. Developing comprehensible analytical solutions to solve business problems using domain knowledge or
statistical procedures depending on the requirements of the project
8. Comfortable in representing the proceedings and/or findings in a power-point
9. Comfortable in mentoring junior resources, and creating an environment of learning in the team
10. Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies
11. Develop and define an area of expertise and take relevant trainings on the same for the organization
12. Contribute to org level activities, such as taking interviews
13. Work with team to estimate work effort
14. Understand the work methodology and be an active participant in strengthening the team
15. Liaising with coworkers and clients on several projects
16. Commitment to learning and continuous improvement
17. The candidate should be able to work under tight timelines with minimal supervision
Technical Competencies Required:
· Comfortable at solution design and storyboarding
· Machine Learning Algorithms - Primary &amp; Mandate
· Generative AI Algorithms – Primary and Mandate
· Python – Primary &amp; Mandate
· SQL, PowerPoint &amp; Excel - (good to have)
· PySpark, Scala is a plus. Familiarity with Deep Learning models, Bigdata environments – Hadoop, Hive, etc., and Cloud – AWS /
Azure / GCP
DevOps knowledge (good to have)
· Visualization tools (good to have)
EXPERTISE AND QUALIFICATIONS
Experience: 5 to 8 Years

Consultant- Data Scientist- GenAI

Role Summary:
We are looking for an accountable, multitalented candidate to facilitate the operations. The Generative AI consultant must be able to develop, implement and deploy ML and Gen AI use cases across functions. The candidate should be adept at leading and conducting independent project work as well as participate in the transfer of knowledge from research to industry. The consultant will also have to collaborate with internal team and clients, to ensure that their approach meets the needs of each project. He/she should be able to deliver results according to project schedules while maintaining quality standards. The candidate will also be responsible to contribute towards organizational initiatives.
Job Responsibilities:
1. Substantial hands-on experience with data handling. Capable of managing large volumes of data, extract, clean and comprehend
2. Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and associates on a daily or periodic basis, contingent on the requirements of the project
3. Able to contribute meaningfully to brainstorming discussions around nuances of the project
4. Skilled in Machine Learning and Generative AI Algorithms (Prompting, RAG, Agents, LLMs etc)
5. Practical Experience and knowledge in AI Cloud Services (Azure, AWS, GCP etc.)
6. Good Knowledge on Natural Knowledge Processing, Verbatim Analysis &amp; Speech to Text / vice versa using few alternate approaches / techniques
7. Developing comprehensible analytical solutions to solve business problems using domain knowledge or
statistical procedures depending on the requirements of the project
8. Comfortable in representing the proceedings and/or findings in a power-point
9. Comfortable in mentoring junior resources, and creating an environment of learning in the team
10. Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies
11. Develop and define an area of expertise and take relevant trainings on the same for the organization
12. Contribute to org level activities, such as taking interviews
13. Work with team to estimate work effort
14. Understand the work methodology and be an active participant in strengthening the team
15. Liaising with coworkers and clients on several projects
16. Commitment to learning and continuous improvement
17. The candidate should be able to work under tight timelines with minimal supervision
Technical Competencies Required:
·Primary Skills:
· Comfortable at solution design and storyboarding
• Python 
• Generative AI (RAG, Agents, LLMs, Prompt Engineering, etc.)
Good to Have Skills: 
• Machine Learning (ML) 
• Azure Cloud Services

Role Summary:
The ideal candidate will be intricately involved in running experiments related to Machine Learning and Generative AI in a methodical manner and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops tools &nbsp;that will influence both our products and clients. The candidate will also have to collaborate with internal team and clients, to ensure that their approach meets the need of each project. He/she should be able to deliver results according to project schedules while maintaining quality standards. The candidate will also be responsible to contribute towards organizational initiatives.
Job Responsibilities:
1. Substantial hands-on experience with data handling.
2. Capable of managing large volumes of data, extract, clean and comprehend
3. Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and associates on a daily or periodic basis, contingent on the requirements of the project
4. Able to contribute meaningfully to brainstorming discussions around nuances of the project
5. Utilizing artificial intelligence and machine learning concepts to solve challenging business problems
6. Experience in implementing Machine Learning and Generative AI Algorithms (Prompting, RAG, Agents, LLMs etc)
7. Practical Experience and knowledge in AI Cloud Services (Azure, AWS, GCP etc.)
8. Comfortable in representing the proceedings and/or findings in a power-point
9. Comfortable in mentoring junior resources, and creating an environment of learning in the team
10. Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies
11. Develop and define an area of expertise and take relevant trainings on the same for the organization
12. Contribute to org level activities, such as taking interviews
13. Work with team to estimate work effort
14. Understand the work methodology and be an active participant in strengthening the team
15. Liaising with coworkers and clients on several projects
16. Commitment to learning and continuous personal improvement
17. The candidate should be able to work under tight timelines with minimal supervision
18. Capability to comprehend, research as needed and execute solutions identified by client or Project Consultant or Project Manager
Technical Competencies Required:
Primary Skills: 
• Python 
• Generative AI (RAG, Agents, LLMs, Prompt Engineering, etc.)
Good to Have Skills: 
• Machine Learning (ML) 
• Azure Cloud Services

Data Scientist with GenAI 

Responsibilities:
1. Engage with business and technical stakeholders to understand data requirements and translate them into robust technical designs and architecture.
2. Own&nbsp;solution planning, task breakdown, and end-to-end delivery execution.
3. Design&nbsp;and develop optimized ETL/ELT pipelines, ensuring high data quality, reliability, and performance.
4. Collaborate effectively with cross-functional and internal teams to deliver technical solutions.
5. Troubleshoot data and system issues, optimize performance, and ensure timely delivery.
6. Mentor and guide junior developers, ensuring adherence to best practices and engineering standards.
7. Resolve complex technical challenges and provide support throughout the development lifecycle.
8. Maintain BI platforms, optimize performance, and ensure accuracy and consistency of reporting.

Gurugram

Principal- Data Engineer

<div style="">Role Description:</div><ul> <li style="">Collaborate closely with cross-functional teams and peers to design, develop, and deliver high-quality iOS applications.</li> <li style="">Engage with subject matter experts to gather insights, solve technical challenges, and continuously improve solutions.</li> <li style="">Design, build, test, and maintain standard software applications and supporting programs that meet defined design specifications.</li> <li style="">Stay current with the latest trends, tools, frameworks, and best practices in iOS development.</li> <li style="">Take initiative, work independently, and be a fast learner in a dynamic, agile environment.</li> <li style="">Communicate effectively — both verbally and in writing — to clearly convey technical concepts and ideas.</li></ul>

India

iOS Developer

<div style="">Affine is a leading global AI and analytics company that has earned the trust of major organizations across industries for transforming businesses through data-driven insights and cutting-edge Generative AI technologies.</div><div style=""> </div><div style="">Founded in 2011, Affine has become a trusted partner for major organizations across various industries, delivering bespoke data solutions and products. Our team excels in strategic consulting, advanced analytics, data engineering and governance, MLOps, and AI-powered solutions, with a strong emphasis on Generative AI applications that foster ingenuity and pioneer advancements.</div><div style=""> </div><div style="">We offer comprehensive data visualization and adoption advisory services, ensuring that our clients not only keep pace but lead in their respective fields. For more insights into our Generative AI capabilities and other services, please visit our website <a href="https://.affine.ai/">https://affine.ai</a>.</div><div style=""> </div><div style="">We offer exciting career opportunities for professionals seeking to make a significant impact. As an Affine employee, you'll be part of a dynamic and inclusive work environment that values collaboration, creativity, and continuous learning. &nbsp;At Affine, we foster a culture of collaboration, you also work alongside some of the brightest minds in the industry, solve complex challenges, and make a lasting impact on the world.</div>