The supreme consultancy

🔹 Key Responsibilities

• Design, develop, and deploy production-grade AI/ML and Generative AI solutions

• Work on GEO, AEO, and SGE initiatives to improve visibility across AI-driven search platforms

• Optimize content and digital experiences for conversational queries and LLM-based search

• Develop solutions using LLMs, NLP, embeddings, semantic search, RAG, and vector databases

• Analyze search intent, AI-generated responses, citations, retrieval patterns, and content discoverability

• Build frameworks to measure GEO/AEO strategies and AI-search performance

• Collaborate with Product, Engineering, Content, SEO, Marketing, and Business teams

• Improve solution accuracy, relevance, latency, and user experience

🔹 Mandatory Requirements

✅ 1–4 years of professional experience

✅ Minimum 1 year of hands-on experience in GEO, AEO, or SGE

✅ Experience with prompt engineering, embeddings, vector search, or RAG systems

✅ Understanding of semantic search and entity-based optimization

✅ Exposure to ChatGPT, Google Gemini, or similar LLM platforms

✅ Knowledge of schema, context building, content structuring, and knowledge representation

🎓 Preferred Education

B.Tech, M.Tech, Integrated M.Sc., or MS from a Tier-1 engineering institute such as IIT, NIT, BITS, VIT, DTU, or NSUT.

Roles & Responsibilities

About the Role We are seeking an experienced Senior Network Engineer specializing in Wireless networking to design, implement, and manage enterprise-grade Wi-Fi solutions. The role requires deep expertise in wireless technologies, RF design, security, troubleshooting, and optimization across large-scale environments. Key Responsibilities Wireless Network Design & Architecture • Design and deploy enterprise wireless networks (campus, branch, and large-scale environments). • Conduct RF planning, site surveys, and capacity analysis using tools like Ekahau, AirMagnet, and similar. • Define wireless architecture standards, best practices, and design frameworks. Wireless Implementation • Configure and manage wireless controllers and access points (Cisco, Aruba, Juniper Mist, Ruckus, etc.). • Implement SSIDs, VLAN mappings, mobility groups, and roaming configurations. • Ensure high availability and seamless roaming across wireless environments. 1 Wireless Security • Design and implement secure wireless solutions (WPA3, 802.1X, EAP protocols). • Integrate wireless networks with NAC solutions (Cisco ISE, Aruba ClearPass). • Monitor for rogue APs, unauthorized access, and wireless threats. RF Optimization & Troubleshooting • Analyse RF performance, interference, coverage gaps, and client experience. • Troubleshoot complex wireless issues such as latency, packet loss, roaming delays. • Perform spectrum analysis and continuous optimization. Monitoring & Performance Management • Use monitoring tools (Cisco Meraki/Prime/DNA Center, Aruba Central/AirWave, Mist Cloud) to track performance. • Implement QoS policies for voice/video over Wi-Fi. • Drive improvements in user experience and network reliability. Cloud & Modern Wireless • Work with cloud-managed wireless platforms (Meraki, Mist, Aruba Central). • Support hybrid integration with enterprise and cloud networks. • Stay updated on Wi-Fi 6 / Wi-Fi 6E / Wi-Fi 7 technologies. Automation & Innovation (added advantage) • Develop automation scripts and workflows for wireless provisioning and monitoring. • Leverage APIs and tools (Python, Ansible, Terraform) for configuration management. • Drive continuous improvement initiatives. Incident & Change Management • Provide L3/L4 support for major wireless incidents. • Lead root cause analysis and problem management. • Support change implementation with risk assessment and rollback planning. Documentation & Governance • Maintain detailed documentation (designs, runbooks, SOPs). • Ensure compliance with enterprise security and governance policies. • Support audits and regulatory requirements. 2 Required Skills & Qualifications • Bachelor’s degree in computer science, IT, or related field. • 3–6 years of experience in networking, with strong focus on wireless. • Hands-on expertise with: -Enterprise wireless platforms (Cisco, Aruba, Mist, Ruckus) -RF fundamentals (channel planning, power levels, interference mitigation) -Wireless protocols: 802.11 a/b/g/n/ac/ax (Wi-Fi 6/6E/7) • Strong knowledge of: -TCP/IP networking and network integration (R&S fundamentals) -Authentication protocols (802.1X, RADIUS, EAP) -High-density wireless design.

Ideal Candidate

1Strong Wireless Network Specialist Profile with enterprise Wi-Fi design, implementation, and RF expertis

2Mandatory (Experience 1): Must have 3+ years of experience in networking, with a strong focus on wireless (enterprise Wi-Fi design, implementation, and RF).

3Mandatory (Experience 2): Must have hands-on experience designing and deploying enterprise wireless networks (campus, branch, large-scale), including RF planning, site surveys, and capacity analysis using tools like Ekahau or AirMagnet.

4Mandatory (Experience 3): Must have experience providing L3/L4 support for major wireless incidents, with root-cause analysis and problem management.

5Mandatory (Tech skill 1): Must have hands-on expertise with enterprise wireless platforms (Cisco, Aruba, Mist, Ruckus) — configuring controllers, access points, SSIDs, VLAN mappings, mobility groups, and roaming

6Mandatory (Tech skill 2): Must have strong RF fundamentals (channel planning, power levels, interference mitigation), high-density design, and hands-on experience with 802.11 a/b/g/n/ac/ax (Wi-Fi 6/6E/7).

7Mandatory (Tech skill 3): Must have strong TCP/IP networking / R&S fundamentals and knowledge of authentication protocols (802.1X, RADIUS, EAP) and secure wireless (WPA3)

8Mandatory (Tech skill 4): Must have RF optimization and troubleshooting experience — interference, coverage gaps, latency, packet loss, roaming delays, and spectrum analysis.

9Mandatory (Tech skill 5): Must have hands-on experience planning and executing Wi-Fi 6E / Wi-Fi 7 upgrades and migrations, including the key design and hardware considerations involved

10Mandatory (Education): Must have a Bachelor's degree in Computer Science, IT, or a related field

11Preferred (Certifications): CWNA / CWNP / CWAP / CWDP, CCNP Enterprise (Wireless) / CCIE Enterprise Wireless, or Aruba ACMP / ACP-CA

12Preferred (Adjacent): NAC (Cisco ISE, Aruba ClearPass); monitoring tools (Meraki/Prime/DNA Center, Aruba Central/AirWave, Mist Cloud); automation/scripting (Python, Ansible, Terraform); SD-Access, BLE/IoT, QoS for voice/video.

Roles & Responsibilities

• Design and build ontologies (knowledge models) that organize Dell's business information in a structured way.
• Connect data from different systems so that all information is consistent and easy to understand.
• Create relationships between products, customers, services, and other business data to improve search and AI capabilities.
• Work closely with business teams to understand their requirements and convert them into structured knowledge models.
• Ensure data is organized according to industry standards such as RDF, OWL, and SPARQL.
• Improve enterprise search, analytics, and AI-driven applications by maintaining accurate knowledge structures.
• Collaborate with developers, data engineers, AI teams, and business stakeholders on knowledge management projects.
• Manage and update ontologies as new products, services, and business information are introduced.
• Support knowledge graph and metadata initiatives to improve data quality and consistency.
• Use graph databases and ontology management tools (where applicable) to maintain semantic data models.

Ideal Candidate

• Strong Ontologist Profile with deep semantic (RDF) ontology experience in complex enterprise environments
• Mandatory (Experience 1) – Must have 7+ years of total experience, with 5+ years in semantic (RDF) ontology building/structuring for a complex/large enterprises
• Mandatory (Experience 2) – Must have a strong understanding of content and information management, data structures, and semantic metadata extraction
• Mandatory (Tech skill 1) – Must have strong experience with graph databases, taxonomies, and NLP strategies for optimization
• Mandatory (Tech skill 2) – Must have strong working experience of ontology/TOMS tools such as PoolParty (Semantic Web), TopQuadrant EDG, or GraphDB (Ontotext)
• Mandatory (Tech skill 3) – Must be familiar with W3C industry standards, including SPARQL and OWL.
• Mandatory (Communication) – Must be fluent in English, with strong stakeholder management skills to operate across a complex, multi-team environment.many stakeholders.
• Mandatory (Note) – Must be available to work during US time zones for at least 4 hours per day
• Preferred (Education) – Must have a degree in Computer Science or Library Science, preferably with a minor / concentration / certificate in Information Management or Library Automation
• Preferred (Tech skill 3) – Understanding of content development and search/retrieval tools.

Role & Responsibilities

Key Responsibilities

• Manage and improve master data across customer, product, entitlement, account hierarchy, product catalog, subscription, contract, billing, and revenue domains.
• Configure and support MDM platform capabilities, including data models, match and merge rules, survivorship rules, hierarchy management, validation rules, workflows, reference data, and data quality rules.
• Support integration of master data between MDM platforms and operational systems such as Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, billing, ERP, data lake, and reporting platforms.
• Assist with customer golden record creation, account hierarchy management, deduplication, data standardization, and Customer 360 enablement.
• Support product taxonomy and product catalog data needed for CPQ bundles, pricing rules, eligibility rules, commercial BOMs, and quote-to-cash automation.
• Maintain entitlement and subscription data, including customer-to-product mappings, lifecycle status, renewals, amendments, upsells, and install base visibility.
• Perform data profiling, cleansing, reconciliation, validation, issue resolution, and root-cause analysis across multiple systems.
• Document data definitions, business rules, source-to-target mappings, lineage, stewardship processes, and remediation actions.
• Partner with Sales Operations, Revenue Operations, Finance, Product Operations, Customer Success, IT, Data Governance, and Enterprise Architecture teams.

Ideal Candidate

• Strong Master Data Management (MDM) Specialist Profile.
• Mandatory (Experience 1) – Must have 3+ years of experience in Master Data Management (MDM), Data Governance, Data Quality, Data Operations, Revenue Operations, Sales Operations, Product Operations, or Enterprise Data Management roles.
• Mandatory (Experience 2) – Must have hands-on experience working with an enterprise MDM platform such as Informatica MDM, Informatica IDMC, Reltio, or any comparable Master Data Management solution.
• Mandatory (Experience 3) – Must have strong experience managing one or more master data domains including Customer Master, Product Master, Product Catalog, Account Hierarchy, Subscription, Contract, Billing, Revenue, Entitlement, or Reference Data.
• Mandatory (Experience 4) – Must have working knowledge of business processes such as CRM, CPQ, Quote-to-Cash (QTC), Order-to-Cash (OTC), Billing, Entitlement Management, Subscription Management, Contract Management, or Revenue Operations.
• Mandatory (Experience 5) – Must have strong understanding of core MDM concepts including Golden Record Creation, Match & Merge Rules, Survivorship Rules, Reference Data Management, Hierarchy Management, Data Stewardship Workflows, Data Quality Rules, and Cross-System Data Synchronization.
• Mandatory (Experience 6) – Must have hands-on experience in data profiling, cleansing, standardization, deduplication, validation, reconciliation, remediation, and data quality improvement initiatives.
• Mandatory (Hike) - AUXO AI follows a compensation policy of offering up to 25% hike on the candidate's current CTC. Candidates whose expectations exceed this range should be screened out during the initial discussion.
• Mandatory (Note) - Only immediate joiners who are available to join within 15 days are considered.
• Mandatory (Domain) – Must have experience working in SaaS, Subscription-based Businesses, Technology Companies, Enterprise Software Organizations, Cloud Product Companies, or Digital Platforms.
• Preferred (Salesforce Ecosystem) – Experience working with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, Sales Cloud, Service Cloud, or Customer 360 implementations.
• Preferred (MDM Products) – Experience with Informatica Customer 360, Product 360, Reference 360, Cloud Data Quality, Cloud Data Governance, Reltio Connected Data Platform, or Reltio Data Cloud.
• Preferred (Integration Experience) – Experience integrating MDM platforms with Salesforce, CPQ, Billing Systems, ERP Applications, Data Warehouses, Data Lakes, Lakehouse Platforms, or Enterprise Reporting Solutions.

Role & Responsibilities

We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.

The Ideal Candidate Will Be Able To-

• Take ownership of delivering performant, scalable and high quality cloud based software, both frontend and backend side.
• Mentor team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.
• Do code reviews.

Ideal Candidate

• Strong Software Engineer fullstack profile using NodeJS, Python, and React
• Mandatory (Experience) - Must have 6+ YOE in Software Development using Python and NodeJS (For backend) & React (For frontend)
• Mandatory (Core Skills 1): Must have strong experience in working on Typescript
• Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis
• Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB
• Mandatory (Company) - Product Companies Only
• Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies
• Mandatory (Note) : This role is a hybrid role (2 days WFO)
• Preferred (Experience): Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Preferred (Mentoring): Experience in mentoring, coaching the team.

Role & Responsibilities

What You'll Rock Daily:

• Build & Polish iOS Magic: Dive deep into SwiftUI for sleek, modern UIs and UIKit for rock-solid legacy love. Make our app swipe-right smooth!
•  Cross-Platform Adventures: Tinker with Flutter basics to bridge iOS & Android – because love knows no platform boundaries. 
• Ship Features Fast: From profile boosts to match notifications, own end-to-end development, testing, and launches that wow 50M+ users.
• Debug Like a Detective: Squash bugs, optimize performance, and ensure our app runs buttery on every iPhone in Bharat.
• Team Up: Collaborate with product peeps, designers, and fellow devs in high-energy sprints. Bonus: Brainstorm "shaadi specials" over chai!

Ideal Candidate

• Strong iOS Developer profile (B2C background)
• Mandatory (Experience): Must have 3+ years of hands-on experience in iOS development with atleast 1+ years in a B2C product company
• Mandatory (Skill 1): Must be proficient in both SwiftUI (modern UIs) and UIKit (legacy surfaces), and must have personally shipped 1+ iOS apps live to the App Store (verifiable links expected)
• Mandatory (Skill 2): Must have a solid grasp of iOS App architecture (MVVM or similar), REST API integration, Git, and CI/CD pipelines for mobile builds and releases
• Mandatory (Skill 3): Must have basic, hands-on Flutter exposure
• Mandatory (Company): B2C product companies. Recent B2C experience with prior exposure to B2B also acceptable
• Mandatory (Note): This role is for the Astrochat product of shaadi.com
• Preferred (Education): B.Tech / M.Tech from a top-tier college
• Preferred (Bonus iOS Stack): Hands-on with RxSwift, Core Data, or push notifications

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

Role & Responsibilities

• Design, develop, and unit test applications in accordance with established standards.
• Preparing reports, manuals and other documentation on the status, operation and maintenance of software.
• Analyzing and resolving technical and application problems
• Adhering to high-quality development principles while delivering solutions on-time
• Providing third-level support to business users.
• Compliance of process and quality management standards
• Understanding and implementation of SDLC process

Ideal Candidate

• Strong Senior Angular Developer Profiles.
• Mandatory (Experience 1) – Must have 6+ years of experience in frontend development, with at least 4+ years in Angular 8+.
• Mandatory (Experience 2) – Must have strong proficiency in JavaScript, TypeScript, HTML5, and CSS3.
• Mandatory (Experience 3) – Must have strong test-driven development experience and proficiency in unit testing frameworks such as Jasmine, Karma, NUnit, Selenium.
• Mandatory (Note) - Considering candidates from South India only.
• Preferred (Experience 1) – Must have 2+ experience with Web APIs, Entity Framework, and Linq Queries.
• Preferred (Experience 2) – Experience in .NET Core framework, OOP, and C# APIs.
• Preferred (Company) - Product Companies
• Preferred (Education) – B.Tech./M.Tech in Computer Science (or related field).