Key Responsibilities
1. Platform & Application Architecture
- Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
- Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
- Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
- Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
2. AI / LLM / Agentic System Architecture
- Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
- Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
- Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
- Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
- Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
3. MLOps, PromptOps & DevOps Integration
- Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
- Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
- Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
- Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
4. Security, Compliance & Scalability
- Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
- Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
- Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
5. Cross-Functional Leadership
- Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
- Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
- Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
- Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
Key Skills & Qualifications
Technical Expertise
- Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
- Proficiency with Node.js, TypeScript, and API development for scalable microservices.
- Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
- Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
- Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
- Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
Preferred Skills
- Prior experience designing multi-tenant SaaS platforms.
- Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
- Knowledge of AI safety, risk frameworks, and prompt governance.
- Strong analytical and communication skills for working across business and technical stakeholders.
- Awareness of FinOps and cost optimization in token-based AI ecosystems.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
- 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Experience: 1 Year to 3 Years
Job Types: Full-time, Permanent
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Preferred candidate profile
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ob Description:
Position: Telesales Executive
🌟 Join the Fastest Growing Startup! 🚀
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Requirements:
✅ Minimum 3 years of experience in telesales, preferably in a startup environment.
✅ Proven track record of achieving high conversion rates (20%+) from provided leads.
✅ Ability to handle 40 leads per day and achieve a daily sales target of 80k.
✅ Availability from 2 PM to 11 PM.
💰 Competitive Salary and Incentives! 💸
🔹 Base salary: 35k
🔹 Lucrative incentive structure: 7.5% (1.8 lacs monthly)
🔍 Selection Process:
1️⃣ Initial resume filtration.
2️⃣ Telephonic interviews.
3️⃣ Video call interviews.
4️⃣ Task-based assessment.
5️⃣ Final one-on-one interview for formalities.
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✨ Excellent communication and convincing abilities.
✨ Strong customer support skills.
✨ Hospitality, politeness, and humility.
✨ Logical thinking and problem-solving abilities.
🌍 Preferred Background:
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If interested can forward your resume to (ambikadotjsemperfidotcodotin)
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About:
Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life.
Role:
Creative Content Writer - B2B/B2C
Description:
Our clients have stories that need telling, we’re looking for storytellers who weave the right narrative for them. Are you comfortable telling stories of social impact, societal change, industrial evolution, and technological innovation? Are you well-versed with corporate communication, writing content for B2B marketing and sales, and enterprise content marketing? Have you worked on a large variety of content types - emails, brochures, flyers, social media content, website copy, sales presentations, webinar decks, articles, and whitepapers? Then you might be a good fit for this job.
Competencies:
- Ability to work on multiple projects simultaneously, effectively juggle diverse writing demands, and deliver on-time
- High retention capacity and the ability to understand client briefs to create effective content strategies.
- An unerring eye for detail and a knack for creativity.
Skills:
- Ability to interpret data to make recommendations for optimizing online content marketing.
- Unique, engaging, and varied writing styles with good proofreading and research skills.
- Knowledge of keywords, meta tags, SEO, and basic writing terminologies.
Experience:
- Understands marketing KPIs and ROI generated from content marketing programs, including an understanding of how content sources influence audience acquisition pipelines.
- Experienced in writing blogs, product portfolios, reports, web content, brochures, and other marketing collateral for B2B/B2C clients.
- Has a solid foundation in SEO, content strategy, analytics, copywriting, and copy editing.
Location and Type:
Remote, Full-time
Evaluation:
Portfolios will be checked for expertise in both B2B and B2C domains. Please share only samples of work done by yourself for actual clients. Share only creative work done for an actual company, strictly no SEO blogs or personal blogs. . Shortlisting will be followed by a video interview.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon