11+ Archiving Jobs in Bangalore (Bengaluru) | Archiving Job openings in Bangalore (Bengaluru)

Outline of the responsibilities

• Daily and Monthly Responsibilities:
• Utilise Pipedrive, cold calling, LinkedIn and email to generate new sales opportunities
• Identify prospect's needs and suggest appropriate products/services
• Build long-term trusting relationships with prospects to qualify leads as sales opportunities
• Proactively seek new business opportunities in the market
• Set up meetings or calls between (prospective) customers and sales executives
• Report to sales manager with weekly, monthly, and quarterly results

• Required Skills and Qualifications:
• 1-3 years of sales experience, with a history of exceeding lead targets
• Strong communication skills via phone and email
• Proven creative problem-solving approach and strong analytical skills
• Strong desire and ability to move up within a sales organization
• Experience in prospecting in US market

• Preferred Qualifications:
• Proficiency with Pipedrive or other CRM software
• Prior experience as a sales and business development rep with a track record of achieving sales quotes

Senior Generative AI Engineer

Employment Type: Permanent with VDart Digital

Work Location: Marathalli, Bengaluru

Job Description

We are seeking a highly skilled Senior Generative AI Engineer with strong expertise in designing, developing, and deploying enterprise-scale AI solutions using Large Language Models (LLMs) and modern Generative AI frameworks. The ideal candidate should have hands-on production experience building scalable GenAI applications, AI agents, autonomous workflows, and Retrieval-Augmented Generation (RAG) systems in cloud-native environments.

This role requires deep technical expertise in LLM orchestration, AI application architecture, prompt engineering, vector databases, MLOps, and production deployment of AI systems. Candidates should have proven experience delivering real-world AI solutions in enterprise environments with strong exposure to cloud platforms and DevOps practices.

Key Responsibilities

• Design, build, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs).
• Develop intelligent AI agents and autonomous workflows using frameworks such as LangChain, CrewAI, LangGraph, AutoGen, or similar agentic AI frameworks.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search technologies.
• Work extensively on prompt engineering, tool calling, memory management, agent orchestration, and multi-agent systems.
• Integrate and manage LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar foundation models.
• Develop scalable AI services and APIs using Python and FastAPI.
• Build production-ready AI solutions with high availability, scalability, monitoring, and observability.
• Deploy and manage AI applications in cloud-native environments using Docker and Kubernetes.
• Collaborate with Data Science, ML Engineering, and DevOps teams to operationalize AI solutions.
• Implement CI/CD pipelines and automated deployment processes for AI workloads.
• Monitor model performance, latency, reliability, and operational efficiency in production environments.
• Ensure AI solutions follow enterprise security, governance, and responsible AI standards.
• Evaluate and adopt emerging Generative AI tools, frameworks, and models.

Required Skills

Generative AI & LLM Expertise

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Production-level experience building and deploying GenAI applications.
• Expertise in LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
• Experience with AI agents, autonomous workflows, and multi-agent architectures.
• Strong understanding of prompt engineering, embeddings, model evaluation, and LLM orchestration.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.

RAG & Vector Databases

• Strong experience implementing RAG pipelines and semantic retrieval systems.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Understanding of chunking strategies, embeddings, indexing, reranking, and retrieval optimization.

Python & AI Development

• Strong proficiency in Python.
• Experience with FastAPI for AI service and API development.
• Experience with AI/ML libraries and data processing tools such as Pandas and NumPy.

Cloud & Production Deployment

• Mandatory production experience on at least one cloud platform:
• Microsoft Azure
• Experience deploying scalable AI applications in enterprise production environments.
• Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, and CI/CD pipelines.
• Strong understanding of MLOps, AI deployment lifecycle, monitoring, and observability.

Engineering & Operational Excellence

• Strong understanding of software engineering best practices.
• Experience with Git, version control, automated testing, and release management.
• Experience building secure, scalable, and high-performance AI solutions.
• Ability to troubleshoot production AI systems and optimize performance.

Preferred Skills

• Experience with AI observability and evaluation frameworks.
• Exposure to fine-tuning, PEFT, LoRA, or model optimization techniques.
• Experience with enterprise AI governance and responsible AI practices.
• Knowledge of distributed AI systems and scalable inference architectures.
• Familiarity with AI security and compliance standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3–8 years of overall software engineering experience.
• Minimum 3+ years of hands-on experience in Generative AI and LLM-based application development,
• Proven track record of delivering enterprise-scale AI solutions in production environments.
• Strong communication and stakeholder management skills.

Dear Candidate!

Greetings from Suventure!

Hope you are doing well!

I am reaching out to you regarding a Job Opportunity with Suventure Services Pvt. Ltd. – a Global IT Services, Products and Platforms company based in India with operations in USA, Netherlands, Canada and Denmark.

The position we have for our inhouse project.

Required Skills:

• Experience with React JS and Redux.
  • A background in building JavaScript UI applications, with a strong understanding of UI frameworks and paradigms available including concepts like asynchronous programming, closures, types, and ES6.
  • HTML/CSS experience, including concepts like layout, specificity, cross-browser compatibility, and accessibility
  • Experience with browser APIs and optimizing front-end performance. Understand the full web technology stack, e.g. HTML, CSS, HTTP, cookies, headers, asset loading / caching.
  • Have a deep understanding of frontend application structure and architecture
  • Have great customer empathy and appreciate the User’s experience
  • Experience with unit testing, using test frameworks like Jest, Mocha, Enzyme etc.
  • Experience in Web Development end-to-end, from design to release.
  • Experience or aspiration to be a full stack developer(Node.js).

Total Exp: 2.5+yrs

Location : Remote

Wishing you all the best. Looking forward to have you associated with Suventure.

About us:

Suventure is a next generation technology or organization that helps clients use information technology as a business enabler. Suventure strives to be at the forefront of innovation in information technology and outsourcing leveraging IT to provide maximum returns. At Suventure, we would like to be long term partners in our customers" business journey, the journey where destinations keep evolving. As a business partner, Suventure ensures that incremental IT steps in the journey are rewarding and fulfilling. Suventure will remain a trusted knowledgeable friend, partner, and advisor throughout customers" business journey. For more on the company please do visit our website http://www.suventure.in/">www.suventure.in  

Best regards,  
Husnara Shaik

Technical Skills:

• Ability to understand and translate business requirements into design.
• Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
• Experience in creating ETL jobs using Python/PySpark.
• Proficiency in creating AWS Lambda functions for event-based jobs.
• Knowledge of automating ETL processes using AWS Step Functions.
• Competence in building data warehouses and loading data into them.

Responsibilities:

• Understand business requirements and translate them into design.
• Assess AWS infrastructure needs for development work.
• Develop ETL jobs using Python/PySpark to meet requirements.
• Implement AWS Lambda for event-based tasks.
• Automate ETL processes using AWS Step Functions.
• Build data warehouses and manage data loading.
• Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.

Roles & Responsibilities

1. Development and implementation of Digital experiences based on AEM product suites mainly with AEM Sites and Assets.

2. Should be able to effectively communicate with the client to understand requirements and propose solution design etc.

3. Design, develop and deploy components, templates, workflows etc on the AEM platform.

4. Should have sound understanding and experience on underlying AEM technologies like Sling, felix and JCR Oak.

5. Setup and configure AEM authoring, publish, and dispatcher environment with Adobe recommended best practices.

6. Integrate AEM with other marketing products like Assets, Forms, Target, Campaign, and other internal endpoints.

7. Should be able to mentor and guide folks within the team.

8. Integrate with front-end technologies and frameworks.

9. Knowledge of HTML5, CSS3, JavaScript and JavaScript frameworks/libraries ( jQuery, Grunt,

10. Bootstrap etc.), and CSS is a plus.

11. Experience with Continuous Integration and related tools (Jenkins/Cruise Control/Maven/GitHub) is preferred.

Key Skills Required

Adobe Experience Manager, Adobe Experience Platform, OSGi, Apache Sling, Apache

Sightly.

Preferred Qualifications and Experience

1. 4+ years of AEM experience with at least several full cycles of AEM implementation

2. Experience in design, development, integration and deployment of digital consumer experiences with AEM Platform.

3. Expertise in AEM and associated technologies such as Sling, OSGI, JCR

4. Experience with Java technologies and frameworks.

5. Experience with other web technologies like Search, XML, XSL etc.

6. Excellent communication skills (both verbal and written)

Your Career Path

1. You will learn and collaborate with talented colleagues from across the globe who have expertise in core domains that you may not have had exposure to

2. You will be able to develop a growth mindset courtesy of our move towards integrated solutions that demands everyone expands their understanding of what we can bring to the marketplace

3. You will be able to develop skills in a Portfolio that represents unification of some of the most diverse, globally recognized brands and businesses in the organization—an exciting opportunity for your career development

4. You shall work independently on modules assigned

5. You will interact with clients along various phases of project life cycle

6. You will be able to design solutions for simple business scenarios

7. An opportunity to build solutions of highest quality

8. You will be also responsible for mentoring new recruits in their technical area of focus

9. You will participate in initiatives, recruitment and practice development programs

10. Project you will be part of

11. Cross-channel customer engagement strategy, design and development (web, mobile, social) eCommerce strategy and implementation.

12. Marketing Content and digital asset management solutions

13. Marketing Technology solutions

14. Marketing analytics implementation

15. Agile based, design-thinking, user-centric, empirical projects that accelerate results

What you need to have:

• 4 plus years of demonstrated track record of developing senior-level client relationships.
• Very strong understanding of Digital Analytics. Hands-on experience and deep expertise in Google Analytics, Google Adwords, and Facebook advertising.
• Strong relationship management skills.
• Excellent communication and presentation skills as well as a proven ability to develop well-positioned and thoughtful documents and presentations.
• Thorough knowledge of the principles of advertising, marketing & media with thought leadership around the dynamics of the digital and interactive space, specifically Social, Digital Media, and Search.
• Ability to use alternative analytical approaches to solve digital/interactive marketing problems.