Business Developer

Key Responsibilities

Manage technical onboarding and implementation for new clients

Understand customer requirements and configure the product accordingly

Provide technical support and troubleshooting for client issues

Work with APIs, integrations, and system configurations

Monitor customer usage and proactively address risks or gaps

Act as a technical advisor, guiding clients on best practices

Collaborate with internal teams (Engineering, Product, Sales) to resolve issues and improve product experience

Document solutions, processes, and customer requirements

Assist in client training sessions and demos

Ensure high customer satisfaction and retention

Location: Hyderabad / Indore

Experience: 6 - 8+ years

Employment type: Full-time

What we're looking for (must-have):

• 6-8+ years building production software, including a real architecture or principal-engineer chapter where you owned system design end to end.
• Deep MERN expertise — you can architect and go hands-on in Node.js and React without a handoff.
• Strong cloud architecture skills on at least one major provider (AWS / GCP / Azure) — networking, security, scaling, and cost.
• Demonstrated experience designing systems in a regulated or high-stakes domain: healthcare (HIPAA/PHI), payments (PCI-DSS), fintech, or similar.
• The judgment to make irreversible decisions and the communication to bring a team along with you.
• Accountability for the outcome of your architecture in production — not just the diagram.

Nice to have:

• HIPAA / healthcare compliance in production — audit trails, BAA-covered infrastructure, PHI access controls.
• Payment systems experience — Stripe, Braintree, PCI-DSS environments, tokenization, reconciliation.
• Event-driven architecture, microservices, and high-availability system design.
• Experience in a multi-product, consulting, or venture-studio environment where context-switching is the norm.
• An AI-native development practice and opinions on how AI changes architecture and delivery.

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role : Lead AI/Senior Engineer-AI

Location : Noida, Delhi/NCR

Experience : 5- 12 years

Education : BTech / BE / MCA / MSc Computer Science

Must Haves :

Conversational AI & NLU :

- Advanced proficiency with Dialogflow CX

- Intent classification, entity extraction, conversation flow design

- Experience building structured dialogue flows with routing logic CCAI platform familiarity

Agentic AI & Multi-Step Reasoning :

- Production experience with Google ADK (or LangChain/LangGraph equivalent)

- Multi-step reasoning and tool orchestration capability

- Tool-use patterns and function calling implementation

RAG Systems & Knowledge Management :

- Hands-on Vertex AI RAG Engine experience (or equivalent)

- Semantic search, chunking strategies, retrieval optimization

- Document processing pipelines (PDF parsing, chunking)

LLM/GenAI & Prompt Engineering :

- Production experience with Gemini models

- Advanced prompt engineering for customer support

- Langfuse experience for prompt management

Google Cloud Platform & Vertex AI :

- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)

- Cloud Functions and Cloud Run deployment experience

- BigQuery for conversation analytics

API Integration :

- Genesys Cloud CX integration experience

- REST API design and webhook implementation

- Enterprise authentication patterns (OAuth 2.0)

Good To Have :

Conversational AI & NLU :

- Multi-language support implementation (Spanish/English)

- Telephony integration (speech recognition, TTS, DTMF)

- Barge-in handling and voice optimization

Agentic AI :

- Agent state management and session persistence

- Advanced fallback strategies and error recovery

- Dynamic tool selection and evaluation

RAG Systems :

- Re-ranking and advanced retrieval quality metrics

- Query expansion and context-aware retrieval

- Corpus organization strategies

LLM/GenAI :

- Prompt versioning, A/B testing, iterative refinement

- Prompt injection mitigation strategies

- In-context learning, few-shot, chain-of-thought techniques

LLMOps & Observability :

- Vertex AI Evaluation Service experience

- Groundedness, relevance, coherence, safety metrics

- Trace-level debugging with Cloud Trace

- Centralized logging strategies

Google Cloud :

- Application Integration connectors

- VPC Service Controls and enterprise security

- Cloud Pub/Sub for event-driven systems

Enterprise Integration :

- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)

- Salesforce, SAP, ServiceNow integration patterns

- Context passage strategies for escalations

Architecture & System Design :

- Configuration-driven systems (Meta-Agent patterns)

- Microservices and containerization

- Scalable, multi-tenant system design

- Disaster recovery and failover strategies

Product Quality & KPIs :

- Customer support metrics expertise (CSAT, SSR, escalation rate)

- A/B testing and experimentation frameworks

- User feedback loop implementation

Deliverables :

- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions

- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations

- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation

- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)

- Prompt Management : System prompts, Langfuse setup, playbook governance, version control

- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations

- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management

- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation

- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations

- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention

- Graceful degradation and fallback mechanisms

What you’ll do

• Build and scale backend services and APIs using Python
• Work on cross-language integrations (Python ↔ PHP)
• Develop frontend features using React (Angular is a plus)
• Deploy, monitor, and manage applications on AWS
• Own features end-to-end: development, performance, and reliability
• Collaborate closely with product, QA, and engineering teams

Tech Stack

• Backend: Python (working knowledge of PHP is a strong plus)
• Frontend: React (Angular is a plus)
• Cloud: AWS
• Version Control: Git / GitHub

Experience

• 
  
• 5–10 years of professional software development experience
• Strong hands-on experience with Python
• Hands-on experience deploying and managing applications on AWS
• Working knowledge of modern frontend frameworks

Build the future of 3D virtual and hybrid events with Sarcon. Fast-growing profitable startup working with top brands across the globe.
We are recognized by the Government of Singapore & are a NASSCOM 10K startup. We also have a bunch of prestigious recognitions to our name. Our technology has powered virtual, hybrid and physical events of all sizes, from large international conferences to focused B2B meets in industries ranging from defense, information technology, aerospace to medicine and nanotechnology. The engineering team behind Sarcon consists of patent-holding engineers having worked for the likes of Intel, Qualcomm, Oracle, and L-Brands. We are continually working on adding products and features to our arsenal to make your events world-class.

In this role you would get to work closely not only with a highly smart and dedicated group of technologists but also with the sales and customer success teams as you help deliver the delightful experience customers have started to expect from Sarcon.

The role would be of interest to you if:

1) You want to build a world-class B2B2C product (A product used by businesses and end customers).
2) Are excited by the prospect of building cutting edge, scalable,secure, and intuitive applications.

3) You want to work on a product that is seeing exponential growth in demand and are excited by the challenges of building technology to support this demand

4) You want to work on stuff where the impact of your work will be seen by hundreds of thousands of industry leaders across industries

5) You want to push yourself to your limits and build a world-beater

Bonus-
Experience with Docker
Setting up scalable systems on the cloud 

Key responsibilities:

1. Work on full-stack development with Primary Laravel PHP, JavaScript & Secondary- NodeJS,React

2. Work on building high-performance scalable applications for the global audience

Salary is negotiable for rockstar candidates.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

• Engaging with multiple people through various social media platforms and getting backlinks.
• Getting high traffic by bookmarking web pages and blogs. Creating backlinks through various blog directory submissions.
• Keep up with search technology trends and recommend changes and updates accordingly will be responsible for On-Page Optimization, Off-Page Optimization,
• Social Media Optimization, Link Building Techniques
• Continuously monitor SEO status of assigned websites for opportunities and updates SEO experience will include excellent knowledge of search engine technology
• Develop, execute and maintain link building activities
• Take part in submissions across the web Directories and articles, directories, social bookmarking, blog, and forum Submission to increase link popularity for websites and other SEO-related activities.

Skills required for the role:

• Candidate must generate backlinks on a daily basis using good PR & amp; DA websites
• The candidate is expected to generate 150-200 backlinks in a day
• The candidate must be very enthusiastic about Off-page link building techniques
• Candidate must be up-to-date with new techniques coming in the market and accordingly use those methods for our clients
• Candidates must find out new websites for link generation on a daily basis
• The candidate will be responsible for improving the ranking of the website by using Off-Page techniques