Data Engineer Lead at Fintech Company · Bengaluru (Bangalore) · 6 - 8 years · ₹15L - ₹25L / yr · Posted 24 Jan 2022

Purpose of Job:
We are looking for an exceptionally talented Lead data engineer who has
exposure in implementing AWS services to build data pipelines, api
integration and designing data warehouse. Candidate with both hands-on
and leadership capabilities will be ideal for this position.
Job Responsibilities:
• Total 6+ years of experience as a Data Engineer and 2+
years of experience in managing a team
• Have minimum 3 years of AWS Cloud experience.
• Well versed in languages such as Python, PySpark, SQL, NodeJS etc
• Has extensive experience in Spark ecosystem and has
worked on both real time and batch processing
• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.
• Experience with modern Database systems such as
Redshift, Presto, Hive etc.
• Worked on building data lakes in the past on S3 or
Apache Hudi • Solid understanding of Data Warehousing Concepts
• Good to have experience on tools such as Kafka or Kinesis
• Good to have AWS Developer Associate or Solutions
Architect Associate Certification
• Have experience in managing a team
Qualifications:
At least a bachelor’s degree in Science, Engineering, Applied
Mathematics. Preferred Masters degree. Other Requirements: Team Management skills, Learning Attitude, Ownership skills

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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.

Job Title: Consultant – Enterprise Application Development
Location: Bengaluru (Hybrid / On-site)
Engagement: Full-Time
Experience: 10 – 15 years preferred
About Us: Introducing VTT, a comprehensive mobility service provider catering to diverse multinational sectors like IT/ITES, KPO/BPO, Financial, Pharma, and more across Indian cities. Our “Managed Mobility Program” includes Fleet Management, Technology, Resource Management, Car Rentals, Logistics, and Special Services (Ambulance and PWD vehicles). Trusted by Fortune companies such as Cisco, Morgan Stanley, Wells Fargo, Google, PWC, and others, we pride ourselves on leveraging expertise and cutting-edge technology for safe, efficient, and uninterrupted service delivery. With a commitment to excellence, we ensure best-in-class standards for all our clients. Trip to school is now timely, comfy and secure! Our well maintained f leet is here to enrich your child’s commute, keeping students punctual and safe thanks to GPS tracking paired with well-trained drivers. Our routes are carefully planned, our drivers attentive, and everything hassle-free.
Role Overview
We are looking for a seasoned Consultant with comprehensive expertise in enterprise-level application development across backend, frontend, mobile, DevOps, and cloud. The role demands a strong architectural mindset combined with hands-on execution. The Consultant will also play a critical role in understanding the current system architecture end-to-end, driving technical improvements, building the tech team foundation, and establishing structured technical documentation.
Key Responsibilities
• Understand the complete architecture of the existing systems, including web, mobile, backend services, and cloud environment.
• Provide hands-on leadership across backend, frontend, mobile, DevOps, and cloud infrastructure.
• Architect and optimize enterprise-grade applications for scalability, security, performance, and reliability.
• Conduct technical due diligence on current systems and propose improvements or refactoring plans.
• Build the foundation for the internal engineering team including hiring support, role definitions, and best-practice processes.
• Drive engineering workflows including coding standards, branching strategy, CI/CD, monitoring, and release management.
• Create comprehensive technical documentation covering system architecture, API specs, deployment playbooks, and SOPs.
• Review code and provide mentorship to engineering resources.
• Coordinate with product and business teams to translate requirements into technical design and actionable development roadmap.
• Troubleshoot and resolve deep-stack issues during development or production.
Technical Expertise Required
Backend
• Java / Spring Boot
• Node.js
•Microservices architecture
• REST / GraphQL
Frontend
• React js
• Responsive UI, component-based architecture, state management
Mobile
• Flutter
• React Native
Cloud & DevOps
• AWS (ECS / EKS / EC2 / RDS / Lambda / S3 / IAM / CloudWatch etc.)
• CI/CD pipelines (GitHub Actions / Jenkins / GitLab CI or equivalent)
• Docker / Kubernetes
• Infrastructure-as-code (Terraform / CloudFormation)
Database
• MongoDB
• Knowledge of PostgreSQL / MySQL is an added advantage
Professional Attributes
• Strong architectural thinking with the ability to simplify complex systems.
• Excellent communication and stakeholder management skills.
• Ability to work independently without constant supervision.
• Capability to mentor, lead, and build an engineering team from scratch.
• Process-driven mindset with a focus on best practices and documentation.
Deliverables
• Architectural understanding and documentation of current systems.
• Recommendations and implementation plan for system upgrades or restructuring.
• Establishment of core engineering processes and standards.
• Hiring support and technical evaluation of developers.
Responsible for the implementation and operations of all technology infrastructures which includes data center, network and server services, telephony, service monitoring, user support/help desk, workstation management, servers, storage, and related software and hardware
|
Strategic Activities · Develop the overarching network architecture to enable smooth functioning of all Client's systems across the nation · Design the overall infrastructure strategy for Client, optimizing costs and value delivered · Provide periodic reports to the CDTO and senior leadership on network and infrastructure costs, implementation, adoption, etc. · Design and create policies pertaining to IT Asset Management, audits, service and maintenance of networks, software and hardware · Act as the custodian for all network and infrastructure related policies for the organization · Support team in negotiating competitive pricing for software licensing/purchase, hardware leasing/purchase, etc.; ensure IT assets purchases are within the budget
Infra & Network Architecture · Define, develop, and implement infrastructure optimization and evolution strategy · Identify and develop a strategy to mitigate risk and increase productivity · Develop the organization’s end-user technology vision and translate it into actionable goals · In partnership with IT leadership and cross-functional stakeholders, develop and implement strategic roadmaps for Client's digital architecture · Maintain a high level of strategic foresight by identifying customer and business needs, and adjusting departmental and team objectives accordingly · Identify future challenges in the end-user technology landscape and develop mitigation strategies Network Management · Overlook the management of the infrastructure, connectivity across our airport's network, all airport technology, and several mission-critical business support applications for hassle-free computing · Determine appropriate Network services and solutions for all business divisions · Head and manage the infrastructure network and security operation teams while maintaining the infrastructure and optimizing architecture security Cloud Services Management · Head and manage the infrastructure (System, Cloud) teams and security operation teams while maintaining the infrastructure and optimizing architecture security · Lead transitioning of the enterprise to a collection of shared infrastructure solutions (Azure, GCP and on-premises) including productivity suite, groupware, telephony, network, security-related solutions, and virtual server infrastructure Vendor Sourcing & Management · Manage relationships with various technology vendors and contract agreements to ensure technically and economically efficient products and services are provided Application Management · Ensure new infrastructure transitions are compliant with current applications, commercials involved in their upkeep, and overlook the future need of applications and their upgrades Team Management · Lead the technical team and head collaboration between Business Users and software providers to build infrastructure and network solutions · Support, nurture, and develop the team members’ skills in all infrastructure and network architecture innovation aspects |
- Skills Required for the role
|
Strong Leadership capabilities |
Excellent Analytical and Delivery skills |
|
Strong interpersonal and communication skills |
Solid understanding of key architecture concerns meeting cross-functional needs |
|
Stakeholder management skills |
Strong Problem-Solving approach |
Profile:
- Graduation is a must
- Minimum of 6 months relevant working experience.
- Excellent English– written and verbal – communication skills.
- Ability to persuade and influence.
- Able to work with people from different cultural background.
Key responsibilities
- You will be responsible for Recruitment of candidates on a Junior level.
- Manage hiring managers and candidate relationships at a professional level.
- Partner with recruiters to determine business needs, identify skill gaps and solicit input on recruiting strategies.
- Assist with Employer Branding projects.
Job description
We are looking for A Sales executive with excellent communication and interpersonal skills to effectively interact and perform sales with customers (B2C) and perform day-to-day responsibilities, which include contacting potential tenants & Follow-up for leads received, responding to queries from customers with patience on all platforms. The executive must maintain a positive and professional attitude while handling the responsibilities.
Responsibilities:
· Schedule appointments on behalf of potential tenants to visit properties.
· Follow up with leads received from social media platforms, property rental portals, direct office walk-ins, etc.
· Have a thorough understanding of our product offerings and pricing.
· Utilize our sales methodology, schemes, and incentives effectively to close sales.
· Collaborate closely with the leads team to ensure all leads are properly handled.
· Maintain a track record of your progress by creating monthly reports that summarize key metrics.
Qualifications:
· Experience of sales in a property management is a plus, e.g. house rentals, hospitality businesses.
· Exposure to sales in the US and UK market is an added advantage.
· Experience in B2C sales is preferred.
- Good telephone manner and positive attitude.
- Communicates and negotiates persuasively - capable of influencing others assertively, building rapport with customers.
- Should have high soft skills and be able to convert to leads to sales.
· To have good knowledge of Microsoft Excel, email and web searches, along with the ability to quickly and effectively learn new software packages.
· Any Graduate with experience of 2-3 years in relevant field is preferred.
· Good understanding of CRM software, Property management tool.
About Company:
Spericle Group operates companies that specialize in student housing, property management services, construction and the hospitality services in Lincoln, UK for over 20 years.
Salary:
180 - 220 INR per Hour
Timing: 1.30PM to 10.30PM
Job Type: Full-time
Benefits:
- Work from home
Education:
- Bachelor's (Preferred)
Language:
- English (Preferred)
. 3.5+ years of work experience on React.JS framework
· Has expertise in following front- end optimization techniques:
· Lazy Loading
· Asynchronous Module Definition
· Image Compression and Minification
· Other front-end tooling using Grunt / Webpack and NPM
· Familiarity with NodeJS, Jasmine / Karma and other unit testing frameworks
· Foundation data structure – Arrays, dictionaries, sets and lists
· Proficient in evaluating front end performance and measure accordingly
· Strong appetite to learn industry trends and new & emerging technologies
Speed, passion, attention to details, get it done attitude, long term association and 1st principal thinking and lastly team player with ZERO insecurities. Learning opportunities will surely be huge.
Responsibilities:
1. Build new services to meet critical product and business needs.
2. Design scalable systems to solve problems with modern cloud technology and industry best practices.
3. Articulate a long-term vision for maintaining and scaling our backend systems and the teams running them.
4. Work with engineers, designers, product managers and senior leadership to turn our product and technical vision into a tangible roadmap every quarter.
5. Write high quality, well tested code to meet the needs of your customers.
Requirements & Qualifications
1. 3-7 years of recent hands-on coding and software design.
2. Bachelor degree or more in Computer Science or a related field.
3. A track record of projects completed on time – you are a flawless executor, not a procrastinator.
4. You find satisfaction in a job well done and want to solve head-scratching challenges.
5. Experience with all phases of the software development life cycle, best practices and Agile Software Development.
6. Solid OOP and software design knowledge – you should know how to create software that’s extensible, reusable and meets desired architectural objectives.
7. Establish Back-End Software Engineer best practices.
8. Working experience with NodeJS, PostgreSQL, In memory Database like Redis, Messaging Queues like RabbitMQ/Kafka
- Proficiency with fundamental front end languages such as HTML, CSS and JavaScript.
- Familiarity with JavaScript frameworks such as Angular JS, React.
- Proficiency with server side languages such as Python, Java, PHP and .Net.
- Familiarity with database technology such as MySQL, Oracle and MongoDB.
- Excellent verbal communication skills.
Will be developing mobile and web applications using latest technology. Should be good in analysing requirements and translate into applications. Good in understanding application flows.
Tech Skills –
Mobile technology – Hybrid (Ionic / Angular / Cordova ), – Expert level – Should have completed at least one project with server component, use of cloud services, use of device native capabilities like camera, accelerometer etc.
HTML, CSS, Bootstrap, Java script – Expert level - Good understanding of concepts and should be able to realize application screens based on the UI provided by designers.
(This is an internship to begin with, later you may be offered a full-time role.)









