Job Description:
We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems.
This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production.
You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability.
Key Responsibilities
AI & Agentic Infrastructure
- Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows.
- Build scalable runtime environments for LLM orchestration frameworks.
- Enable deployment of AI copilots, assistants, and autonomous decision systems.
Common frameworks may include:
- LangChain
- LlamaIndex
- AutoGPT
LLMOps & AI Model Lifecycle
Design and manage LLMOps pipelines for the full lifecycle of large language models:
- Model deployment
- Prompt management
- Versioning
- Evaluation and testing
- Model monitoring
Integrate with AI platforms such as:
- Azure Machine Learning
- Amazon SageMaker
- Vertex AI
Retrieval-Augmented Generation (RAG) Infrastructure
Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs.
Responsibilities include:
- Document ingestion pipelines
- Embedding generation workflows
- Knowledge indexing
- Query orchestration
- Retrieval optimization
- Support scalable semantic search architectures.
Vector Database & Knowledge Infrastructure
Deploy and manage vector databases used for AI applications and semantic retrieval.
Common technologies include:
- Pinecone
- Weaviate
- Milvus
- FAISS
Responsibilities include:
- Index optimization
- Query latency tuning
- Scalable embedding storage
- Hybrid search architecture
Multi-Cloud AI Infrastructure
Design and maintain AI-ready infrastructure across:
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
Key responsibilities include:
- GPU infrastructure management
- Distributed training environments
- Hybrid cloud integrations with on-prem data centers
- Infrastructure scaling for AI workloads
Data Platforms & Integration
- Support deployment and optimization of data lakes, data warehouses, and streaming platforms.
- Work with data engineering teams to ensure secure and scalable data infrastructure.
Cloud Architecture & Infrastructure
- Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud.
- Build hybrid cloud architectures integrating on-premise environments with cloud platforms.
- Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads.
DevOps, Platform Engineering & Automation
Build automated cloud infrastructure using modern DevOps practices.
Tools may include:
- Terraform
- Docker
- Kubernetes
- GitHub Actions
Responsibilities include:
- Infrastructure as Code (IaC)
- Automated deployments
- CI/CD pipelines for AI models and services
- Platform reliability and scalability
AI Observability & Monitoring
Implement observability frameworks to monitor AI systems in production.
This includes:
- Model performance monitoring
- Prompt evaluation
- Hallucination detection
- Latency and throughput analysis
- Cost monitoring for LLM usage
Tools may include:
- Arize AI
- WhyLabs
- Weights & Biases
Security, Governance & Responsible AI
Ensure AI systems follow strong governance and security practices.
Responsibilities include:
- Data privacy and compliance
- Model governance frameworks
- Secure model deployment
- Monitoring model bias and drift
- AI risk management
Support enterprise frameworks for Responsible AI and AI compliance.
Data & Security
- Experience with data lake architectures, distributed storage, and ETL pipelines
- Knowledge of data security, encryption, IAM, and compliance frameworks
- Familiarity with AI governance and responsible AI practices
Required Skills
Cloud & Infrastructure
- Strong experience in Azure (must have), AWS or GCP
- Hybrid and multi-cloud architecture
- GPU infrastructure management
DevOps & Automation
- Kubernetes
- Docker
- Terraform
- CI/CD pipelines
AI / ML Platforms
- MLOps pipelines
- Model deployment
- Model monitoring
AI Application Infrastructure
- Vector databases
- RAG pipelines
- LLM orchestration frameworks
Programming
Experience in one or more languages:
- Python
- Go
- Java
- TypeScript
Preferred Qualifications
- Experience building AI copilots or autonomous agents
- Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training
- Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability
- Experience building enterprise AI platforms
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering
- Experience working in data-driven or AI-focused environments
What Success Looks Like
- Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms
- Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products
- Secure and scalable AI-ready cloud platforms
- Strong automation and governance across cloud and AI systems
Shubham Vishwakarma
Full Stack Developer - Averlon
About Ampera Technologies
About
Company social profiles
Similar jobs
- SAP Ariba Strategic Sourcing capabilities including Ariba Spend Analysis, Ariba Sourcing, Ariba Contracts, Ariba Supplier Lifecycle & Performance and Supplier Risk
- Should have experience in implementing on- premise and on- cloud Ariba.
- Good knowledge and understanding of Ariba P2P, Integration of P2P with backend ERP System.
- Strong Knowledge in ARIBA network skill set
- Daily activity :
- RFI Creation
- Auction Creation
- Forward Auction Creation
- Coordinating with Supplier for Response
- Resolving Login Issue of supplier
- Supplier onboarding
- Catalog Uploading
- Creating Templates as per requirement.
Flutter
React Native
Go Programming (Golang)
JavascriptRequirements / Experience:
- Min 4 Years of Experience
- Experience in cross-platform mobile software development (Android/iOS) using technologies such as React Native, Flutter, GO/ Golang, Xamarin, Blazor, JavaScript, TypeScript, Dart, C#
- Familiarity with API Development (REST, Web API, WCF, SOAP)
- Experience with full-lifecycle design, development, and testing of critical business applications
- Good problem-solving skills with attention to detail
- Strong verbal, written, interpersonal, and organizational skills
- Ability to work independently and in a team environment
- Ability to multi-task effectively
- Reliable, highly motivated, with a positive attitude
- Experience with MsSQL, MariaDB
Python
XML
PostgreSQL
GitRole Overview
We are seeking a skilled Odoo Consultant with Python development expertise to support the design, development, and implementation of Odoo-based business solutions for our clients. The consultant will work on module customization, backend logic, API integrations, and configuration of business workflows using the Odoo framework.
Key Responsibilities
● Customize and extend Odoo modules based on client requirements
● Develop backend logic using Python and the Odoo ORM
● Configure business workflows, access rights, and approval processes
● Create and update views using XML and QWeb for reports and screens
● Integrate third-party systems using Odoo APIs (REST, XML-RPC)
● Participate in client discussions and translate business needs into technical solutions
● Support testing, deployment, and user training as required
Required Skills
● Strong knowledge of Python and Odoo framework (v12 and above)
● Experience working with Odoo models, workflows, and security rules
● Good understanding of XML, QWeb, and PostgreSQL
● Experience in developing or integrating APIs
● Familiarity with Git and basic Linux server operations
● Good communication and documentation skills
Preferred Qualifications
● Experience in implementing Odoo for industries such as manufacturing, retail, financial
services, or real estate
● Ability to work independently and manage project timelines
● Bachelor’s degree in Computer Science, Engineering, or related field
About 6sense : The 6sense Account Engagement Platform helps B2B organizations achieve predictable revenue growth by putting the power of AI, big data, and machine learning behind every member of the revenue team.
https://hub.6sense.com/welcome/6sense-funding-announcement">In one of the latest news,6sense Raises $125 Million in Series D Funding, Increases Valuation to $2.1 Billion https://hub.6sense.com/welcome/6sense-funding-announcement.
In the other news,6sense was named one of https://twitter.com/Inc">@Inc's Best Workplaces for the third year in a row.
As an Engineering Manager at 6sense ,you will have the opportunity to-
- Recruit and retain top-tier software engineering talent.
- You will nurture an atmosphere of continuous improvement by serving as a coach, mentor, and technical advisor, while planning and supporting career development
- You will diagnose and resolve systemic obstacles that prevent your team from delivering high-quality software.
- You will meet 1-1 with team members on a regular basis.
- Recruit and retain top-tier software engineering talent
- Work cross functionally with other Engineering Managers to strategize and execute on crucial business objectives along with managing upstream and downstream dependencies
- Work with the Product Managers on project planning and roadmap
- Apply distributed computing and map-reduce knowledge to compute, dedupe, and derive insights from billions of records daily
- Intellectually contribute to the software, data, process, and growth of other team members
- Participate in writing applicable patents for your ground-breaking work
- Promote and set examples for high code quality like unit testing, good variable naming, modularity, etc.
- Own products/features at multiple levels: code, data, metrics, reduction of support frequency, etc.
- Ensure new features are properly tested at scale prior to release
Required qualifications and must have skills
- 5+ years of experience managing a team of 5+ engineers
- 10+ years of experience in delivering software
- BS / MS in Software Engineering or an equivalent degree
- Experience leading by influence in multi-team, cross-functional projects
Amazon Web Services (AWS)Do Your Thng
DYT - Do Your Thing, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space.
Role: DevOps
Job Description:
We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.
Required Experience
- Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
- Experience working with Continuous Integration and Continuous Deployment Pipeline
- Exposure to managing LAMP stack-based applications
- Experience Resource provisioning automation using tools such as CloudFormation, terraform and ARM Templates.
- Experience in working closely with clients, understanding their requirements, design and implement quality solutions to meet their needs.
- Ability to take ownership on the carried-out work
- Experience coordinating with rest of the team to deliver well-architected and high-quality solutions.
- Experience deploying Docker based applications
- Experience with AWS services.
- Excellent verbal and written communication skills
Desired Experience
- Exposure to AWS, google cloud and Azure Cloud
- Experience in Jenkins, Ansible, Terraform
- Build Monitoring tools and respond to alarms triggered in production environment
- Willingness to quickly become a member of the team and to do what it takes to get the job done
- Ability to work well in a fast-paced environment and listen and learn from stakeholders
- Demonstrate a strong work ethic and incorporate company values in your everyday work.
Deep Learning
Machine Learning (ML)- Focusing on developing new concepts and user experiences through rapid prototyping and collaboration with the best-in-class research and development team.
- Reading research papers and implementing state-of-the-art techniques for computer vision
- Building and managing datasets.
- Providing Rapid experimentation, analysis, and deployment of machine/deep learning models
- Based on requirements set by the team, helping develop new and rapid prototypes
- Developing end to end products for problems related to agritech and other use cases
- Leading the deep learning team
- MS/ME/PhD in Computer Science, Computer Engineering equivalent Proficient in Python and C++, CUDA a plus
- International conference papers/Patents, Algorithm design, deep learning development, programming (Python, C/C++)
- Knowledge of multiple deep-learning frameworks, such as Caffe, TensorFlow, Theano, Torch/PyTorch
- Problem Solving: Deep learning development
- Vision, perception, control, planning algorithm development
- Track record of excellence in the machine learning / perception / control, including patents, publications to international conferences or journals.
- Communications: Good communication skills
PHP
jQueryJavascript
He/She will lead efforts in building excellent and intuitive application design. Being one of the early team members will allow him/her to work with the founding team to shape and build the product from scratch.
Responsibility
Gather and evaluate user requirements in collaboration with the product team and front-end engineer
Design graphical user interface, elements and illustrations for young Indian users
Develop UI mockups and prototypes that clearly illustrate how the app looks like
Lead user research on the design front and thrive for more intuitive user flow and elements. Incorporate changes in the design based on user feedback
Adhere to style standards on fonts, colors and images
Requirements
Proven work experience as a UI/UX Designer of mobile applications or similar role
Portfolio of design projects
Mastery of design tools (e.g. Sketch and InVision)
Team spirit; good communication skills to collaborate with various stakeholders in a fast-paced environment
About us
Cold Brew Tech is a Bangalore based seed-stage startup focussed on creating impact in the internet consumer space with an added focus on youth and people coming online for the first time in India - NHB users (Next Half Billion). It is founded by IITK alumni - Bhanu Pratap Singh Tanwar (ex-Deutsche Bank), Hardik Bansal (ex-WorldQuant, University of Maryland), Harshvardhan Chhangani (ex-Paytm).
Android Development
Java
Kotlin
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon