Sales Manager

What We Are Looking For

CLOUDSUFI is seeking a senior, hands-on AI Platform Architect to design and build production-grade platforms for generative AI, agentic systems, data-intensive applications, and analytical workflows. This is a builder-architect role. The successful candidate will define architecture, make technology decisions, develop reference implementations, review critical code and designs, and guide engineering teams from prototypes to secure, scalable production systems. We are looking for a builder-architect with strong engineering judgement and practical delivery experience. The right candidate can define platform direction, evaluate trade-offs, validate ideas through implementation, and guide systems into production. They should be equally comfortable discussing distributed architecture, reviewing code, diagnosing workflow failures, designing evaluation systems, and mentoring engineering teams.

Key Responsibilities-

AI and Agentic Platform Architecture

• Design platforms for single-agent and multi-agent systems supporting planning, reasoning, tool use, memory, delegation, validation, and human approval.

• Define orchestration patterns for deterministic, dynamic, event-driven, and long-running AI workflows.

• Establish clear boundaries between LLM reasoning, application logic, quantitative computation, rules, and human decision-making.

• Evaluate and adopt agent frameworks, model providers, tools, and orchestration technologies based on reliability, flexibility, performance, and cost. Knowledge and Data Systems

• Architect RAG pipelines, document-processing systems, vector search, hybrid retrieval, knowledge graphs, and semantic data layers.

• Integrate structured and unstructured enterprise data from APIs, databases, files, streams, and external platforms.

• Design reusable workflows for research, data collection, transformation, analysis, modelling, validation, and reporting.

• Establish data lineage, provenance, metadata, access controls, freshness, and quality standards. Evaluation, Observability and Governance

• Build evaluation frameworks for accuracy, relevance, groundedness, task completion, tool use, safety, latency, and cost.

• Enable systematic experimentation across models, prompts, agents, tools, retrieval strategies, and orchestration patterns.

• Implement versioning and lifecycle management for prompts, agents, workflows, datasets, knowledge bases, evaluations, and model configurations.

• Establish tracing, monitoring, auditability, guardrails, approval workflows, and production quality diagnostics.

Cloud and Platform Engineering

• Define cloud-native architectures using microservices, APIs, event-driven systems, queues, schedulers, and distributed processing.

• Lead Kubernetes-based deployment, containerisation, CI/CD, Infrastructure as Code, environment management, and release automation.

• Design for horizontal scalability, fault tolerance, resilience, security, data privacy, and high availability.

• Optimise model usage, infrastructure, storage, retrieval, and compute for performance, latency, and cost.

Technical Leadership

• Translate product and business requirements into clear technical designs and implementation plans.

• Build prototypes and reference implementations for high-risk or foundational platform capabilities.

• Review architecture, code, interfaces, data models, infrastructure, and operational readiness.

• Define engineering standards and reusable patterns across AI, backend, data, and platform teams.

• Mentor senior engineers and support teams in resolving complex technical and production issues.

Required Skills and Experience

• 10+ years of experience in software architecture, platform engineering, distributed systems, data platforms, or AI systems.

• Strong hands-on experience designing and building production-grade AI or data-intensive platforms.

• Deep understanding of LLM applications, tool calling, structured outputs, RAG, embeddings, memory, and agent orchestration.

• Strong experience with cloud platforms, Kubernetes, containers, microservices, APIs, event driven architecture, CI/CD, and Infrastructure as Code.

• Experience with relational, document, graph, vector, and distributed data systems.

• Practical experience implementing AI evaluation, experimentation, tracing, monitoring, guardrails, and lifecycle management.

• Strong understanding of security, identity, access control, secrets management, data protection, and production reliability.

• Ability to move effectively between architecture, code, infrastructure, debugging, and technical delivery.

Good to Have

• Experience building enterprise AI copilots, autonomous workflows, research platforms, or analytical systems.

• Experience with knowledge graphs, hybrid search, model gateways, tool gateways, or agent marketplaces.

• Familiarity with LLMOps, MLOps, model serving, feature stores, model registries, and distributed compute.

• Experience supporting real-time and batch data processing at scale.

• Experience comparing and operating multiple commercial and open-source models.

• Prior experience in consulting, client-facing architecture, or complex enterprise platform delivery. 

We are looking for Receptionist/ Customer care cum Business Development Executive for our E commerce business. This is remote job which can be done from home.

Job description:

Full Stack Intern ( Backend Focus)

Company: Suntek.ai

About Suntek.ai:

Suntek.ai is a premier digital solutions provider specializing in cutting-edge e-commerce development. With hands-on experience managing and scaling multiple renowned brands on Shopify, we empower small and medium businesses with enterprise-grade digital capabilities. Our

focus is on seamless omnichannel experiences, advanced automation, and high-performance architecture to maximize growth and ROI

Experience: 0 - 6 months

Location: Remote

About the Role:

We're looking for a full-stack Intern with a strong backend focus to join our team. You'll work on building and maintaining scalable server-side applications while occasionally contributing to frontend development.

What You'll Do

• Design, develop, and maintain backend services and APIs
• Work with databases to ensure data integrity and optimize performance
• Collaborate with cross-functional teams to deliver features end-to-end
• Write clean, testable, and well-documented code
• Participate in code reviews and contribute to technical decisions

Required Skills

• Node.js: Solid experience building server-side applications
• TypeScript Strong typing practices and modern JavaScript/TypeScript patterns
• PostgreSQL Database design, querying, and performance optimization
• NestJS Experience with this framework (or similar structured Node frameworks)
• GraphQL Familiarity with building or consuming GraphQL APIs
• Networking fundamentals: understanding of TCP/IP, UDP, and how web protocols work

Nice to Have

• Docker Containerization and local development environments
• Terraform Infrastructure as code experience
• Cloud platforms: Hands-on experience with AWS, GCP, or Azure

What We Offer:

• 100% remote position with flexible work hours.
• A supportive, high-agency team environment that encourages creativity and initiative.
• Ongoing opportunities for skill development and growth.
• Competitive stipend.

AI Engineer – Supaboard.ai

Location: Bengaluru, India (On-site, 5 days a week)

Experience Level: 2–5 years

Compensation: ₹8 – ₹16 LPA

Tech Stack: Python, TypeScript, OpenAI/Anthropic APIs, Hugging Face, Vector DBs

Employment Type: Full-time, In-office

About Supaboard.ai

Supaboard.ai is building an intelligent data analytics platform powered by modern AI systems, enabling teams to transform their raw data into dashboards, insights, and automations—instantly.

We combine analytics, automation, and AI into a single powerful engine used by fast-growing teams.

We’re looking for an AI Engineer who loves working with models, fine-tuning, LLM orchestration, and building AI-driven features that scale.

Key Responsibilities

• Fine-tune open-source LLMs (e.g., Llama, Mistral, T5, Qwen) for internal use cases like text classification, summarization, extraction, and agent workflows.
• Develop, test, and optimize prompt engineering strategies for production use-cases.
• Build and maintain pipelines for training, evaluating, and deploying custom AI models.
• Integrate models with Supaboard’s backend using Python, TypeScript, and cloud-based AI platforms.
• Work with libraries like Hugging Face Transformers, LangChain, OpenAI, Gemini, Anthropic, and vector databases (Pinecone/Weaviate).
• Create high-accuracy evaluation datasets and design automated evaluation harnesses.
• Optimize performance, latency, and reliability of AI-powered features in production.
• Collaborate with product, engineering, and data teams to design and implement AI-driven product features.

Requirements

• Strong proficiency in Python (must) and basic experience with TypeScript (preferred).
• Solid understanding of LLMs, embeddings, tokenization, model architectures, and NLP pipelines.
• Prior experience fine-tuning or training open-source models using PyTorch, Hugging Face, or similar frameworks.
• Experience calling and orchestrating external LLM APIs (OpenAI, Anthropic, Google Gemini, etc.).
• Ability to design prompts, tune them, and create deterministic and reliable chains/flows.
• Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and retrieval pipelines.
• Familiarity with cloud environments (AWS/GCP) and deploying AI workloads.
• Good understanding of evaluation metrics and experiment tracking (W&B or similar).
• Strong debugging skills and an ownership-driven mindset.

Nice to Have

• Experience building agents, tool-calling workflows, and multi-model pipelines.
• Knowledge of distributed training, quantization (GGUF/GGML), or optimization techniques (LoRA, QLoRA, PEFT).
• Experience building AI-based features for data analytics or SaaS products.
• Familiarity with FastAPI or Node-based backend services.

Why Supaboard.ai?

• Build a core part of India’s next-gen AI analytics platform.
• Work with cutting-edge open-source AI models and real-world production workloads.
• Massive ownership, high impact, and a fast-paced startup environment.
• A culture that rewards learning, curiosity, and technical growth.

About Us:

Developed in formal collaboration with the University of Cambridge in May 2000, HeyMath! is an Ed-Tech company whose mission is to Raise the Game in Maths for school systems around the world. We do this using technology to deliver engaging teaching methodologies and personalised learning paths for students. HeyMath! has been successfully adopted by CBSE schools since 2004, with positive outcomes for the entire ecosystem.

Check us out at www.heymath.com

We plan to work mainly from home in 2022 and the virtual office atmosphere is collegiate, informal and friendly, with small high-impact teams making a difference to customers.

What we are looking for:

Experience in building and re-engineering cloud based solutions on AWS.

Strong knowledge of Object Oriented Programming(OOPS) and design patterns is a must. Hands-on development on Spring MVC framework.

Experience working on Java 8 or above.

Must have very good knowledge of RDBMS such as MySQL and performance tuning of the same.

Exposure to server-side and client-side caching mechanisms. Ability to debug the applications and provide instant workable solutions.

Experience working on Elastic Search / Kafka / Kubernetes or all is a nice to have.

Desired Candidate Profile

• Bachelor’s degree or Master's degree (from tier 1 college - IIT/NIT/IIM/XLRI/MDI/ Any other Tier 1 Colleges)
• 3+ years experience with 2+ years experience in digital marketing at a high growth app-based B2C organisation
• Strong quantitative mindset and data driven approach to digital marketing
• Expertise in excel-based data modelling and analytics tools
• Experience in handling mid to large scale monthly digital marketing budgets
• Hands-on experience in managing Facebook Ads, Google Ads at scale
• Experience in programmatic advertising is a big plus for this role
• Experience in understanding data using Google Analytics/ Mixpanel/ AppsFlyer or any other analytics or attribution tool
• Experience in cross-team collaboration, team management and agency management    

In your role you will:

• Be an active member of the GSS Fi management team in Global Centre Pune driving strategic and people orientated change programs.
• Manage a team of professionals delivering/processing the full cycle of cash allocation, cash management, accounts receivable and master data management
• Oversee and steer the day to day operation and delegate responsibilities across your team such that key performance indicators are consistently delivered.
• Build, coach and develop your team.
• Ensure that stakeholder requests are handled with professionalism and positive service attitude while ensuring that delivery is according to defined SLA.
• Establish and maintain close and professional partnerships with internal stakeholders.
• Streamline internal processes to ensure the most efficient operational standards.
• Review and manage exception reports, KPIs, and other key indicators of performance/output.

• Multinational company experience in a shared service organisation (preferably in businesses like ours)
• Strong communication skills, both written and oral
• Several years experience in managing Credit collections teams to drive performance.  Must be organised and goal oriented.
• Solid knowledge in double entry book keeping (you don’t have to be a qualified accountant)
• Experience in creating and presenting cash flow forecasts to Regions and Group Treasury.
• Drive high quality Balance sheet reconciliations (Accounts receivable and Bank account)
• Experience in arranging payments (daily cash mobilisation) in the Regions that are being supported, which means multi-currencies.  This will also mean Legal Entity (LE) deposit maintenance and tracking.
• Credit Card payment processing and reconciliation
• Given we use Oracle, driving more automation to improve efficiency would be a good thing.

1. Experience: 3-5 Years
2. Scripting: PowerShell and either of ( JavaScript, Python)
3. Kubernetes and docker Hands-On   
4. Good to have either (Azure / AWS ) 
5. Any of DB technologies Hands-ON: No SQL - Admin, COSMOS DB, MONGO DB, Maria DBA  
6. Good to have Analytics knowledge