
Hi
Greetings from Anlage Infotech (India) Pvt. Ltd.
We are looking for Storage Engineer (L3) support in the Mumbai location with one of our trusted clients.
Please find the below JD:
Storage Engineer –L3
· Must have skills: HP or EMC or Netapp. HP is preferred.
Experience: 6 years - 14 years
NP: Preferred Immediate to 30 days
Location: Mumbai

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Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.
About AISpire360
We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.
The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.
We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.
What You'll Own
You are the technical anchor for the voice agent. You will be responsible for:
Real-time voice system
- Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
- STT and TTS configuration, voice tuning, language and accent handling
- Turn-taking, barge-in, end-of-speech detection, latency budgets
- Driving end-to-end voice latency below 700ms (we currently target 600ms)
- Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
- Silence-detection optimization for outbound calls (95% silence-discount realization)
HIPAA + PHI infrastructure
- BAA-compliant hosting architecture (AWS-based, BAA in place)
- PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
- Encryption in transit and at rest, audit logging, 7-year retention compliance
- Access controls, RBAC, kill-switch infrastructure
- HIPAA Security Rule compliance for technical safeguards
Agent orchestration and tools
- LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
- Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
- Multi-turn conversation state management
- Multi-topic call handling and structured task generation
- Safety-critical keyword detection and escalation routing
Integrations
- EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
- Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
- Calendar integration (Google Calendar, Microsoft 365, Cal.com)
- SMS and email gateways (Twilio, SendGrid)
- Practice-specific webhooks for task manager surfacing
Multi-tenant platform foundations
- Per-practice configuration loading (specialty profile + practice profile)
- Per-tenant isolation, data segregation
- Specialty-specific intake schemas, triage rules, safety keywords
- Production observability (tracing, metrics, latency monitoring per practice)
Required Experience
You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:
- 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
- Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
- HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
- AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
- AWS Comprehend Medical or equivalent PHI detection experience.
- Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
- Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
- LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
- Python or TypeScript fluency. Production code, not scripts.
- API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).
Nice to Have
- Healthcare domain experience (EHRs, clinical workflows, medical terminology)
- Prior auth or eligibility verification workflow experience
- Multi-tenant SaaS architecture experience
- SOC 2 audit experience
- Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
- Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
- Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)
What This Engagement Looks Like
- Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
- Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
- Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
- You sign a BAA with us. This is non-negotiable due to the nature of the work.
- You are eligible for future equity grants as we formalize the team structure.
- Direct working relationship with our CTO (London-based) and founders (NYC and India).
- Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.
How We'll Evaluate You
Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.
- Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
- Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
- System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
- Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.
Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.
What We Will NOT Accept
- Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
- Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
- "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
- Engagement structures that conflict with this being your primary work.
How to Apply
Send a brief message with:
- A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
- Two or three sentences on why this role fits you specifically — not a generic cover letter.
- Your current compensation expectation in USD per month.
- Your earliest start date and current time-zone availability.
We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.
Details Job description is as given below.
Designation: - Sr. Engineer - Application & Engineering
Job Function: - Extending technical support to sales team & customers, Technical Presentation, Product Demonstration & explaining products salient features.
Products:- Products fall under Azbil’s Control products division. Products such as gas flow measurement and control products, mass flow meter, mass flow controllers, temperature controllers, modulating motors, pressure switches,limit switches, photoelectric sensors, proximity sensors, Flame Detectors-Burner Controllers Assembly.
Customer Segment :- Furnace & Oven Manufacturer, Machine Manufacturer, Automotive, Heat Treatment.
Product Range :- https://www.azbil.com/products/factory/index.html
Job Location: - Azbil India Gurgaon Office.
Desired Qualification: - Bachelor of Engineering or Diploma Degree holder.
Skills Required: - Relevant Product Knowledge, Technical Presentation Skills, Product Demonstrations, Proven experience in technical sales & product demonstration roles, Good Verbal Communication.
Areas of Responsibility: -
· Responsible for explaining our products’ technical functionalities and benefits to potential customers.
· Responsible for working closely with the sales product team & helping to drive product adoption & sales success.
· Handle technical questions during demonstrations.
· Handle technical troubleshooting issues.
· To Keep the management informed about the product promotional activities.
· Working with various sales channels - OEMs, End Users, distributors etc. for Product adoption against other manufacturers.
- Development of applications in Java including:
- Building data processing platforms.
- Developing micro-service-oriented applications.
- Interact with stakeholders of the applications being developed.
- Must have experience in Java JEE, Spring Framework, and Microservices
- Experience in SQL and JDBC
- Experience in build tools Maven, git
- Good to have experience in Cloud Platforms AWS, Azure is a plus

Senior Business Development Executive - Inside Sales
Company Profile:
YaClass is a European Edtech organization that expanded to India in 2019. The company specializes in training students in classes 6 to 10 in Math, Science, English, etc. Our platform offers personalized learning experiences through AI-driven software and professional mentoring.
Job Description:
- Connecting with clients(students & parents) and fixing demo sessions with our mentoring team through calls, messages & emails
- Building a strong connection with(clients) students and parents, rapport building, analyzing goals, needs, and capabilities of clients
- Following up with clients for clearing their concerns and negotiations
- Meeting sales and revenue goals as per the sales plan (weekly and monthly)
- Clear documentation of the entire customer journey with precise reasoning in each stage of the sales funnel
- Reporting accurate sales data to the management as required
Working Days :
5 days per week, 2 days off per week(fixed)
Job requirements:
- Must have a good understanding of B2C inside sales processes & metrics
- Minimum 1 year of B2C Inside Sales/Tele-Sales experience
- Hands-on experience in dialing 100+ calls per day & using CRM software(Zoho, Leadsquared, Salesforce, etc.)
- Experience in collaborating with teammates, and other departments to accomplish tasks
- Adept at working with Google Suite(docs,sheets,slides)
- Excellent verbal & written communication skills in English & Tamil
- Experience in working in a fast-paced work environment
- Strong objection handling and negotiation skills
- Revenue focused work-ethic
Package : Up-to 5LPA(fixed) + Incentives
Work Location : Chennai(Hybrid)
Perks:
- Performance-based weekly incentives
- Performance-based quarterly appraisals
- Performance-based quarterly promotions
- 2-week fixed holidays(vacation) every year
*Terms and conditions apply
Intuitive is now hiring for DevOps Consultant for full-time employment
DevOps Consultant
Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)
Key Skills / Requirements:
- Mandatory
- Integrating Jenkins pipelines with Terraform and Kubernetes
- Writing Jenkins JobDSL and Jenkinsfiles using Groovy
- Automation and integration with AWS using Python and AWS CLI
- Writing ad-hoc automation scripts using Bash and Python
- Configuring container-based application deployment to Kubernetes
- Git and branching strategies
- Integration of tests in pipelines
- Build and release management
- Deployment strategies (eg. canary, blue/green)
- TLS/SSL certificate management
- Beneficial
- Service Mesh
- Deployment of Java Spring Boot based applications
- Automated credential rotation using AWS Secrets Manager
- Log management and dashboard creation using Splunk
- Application monitoring using AppDynamics
If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud
Regards,
Anitha. K
TAG Specialist
Responsibilities:
. Create exclusive distributors, super stockiest and business associates for the company.
.Guide them and coordinate them to achieve the target towards the entire growth of the company.
.Finding and developing new marketing ideas and improving sales.
. Observe all the stock reports, product orders, re-order etc.
Requirements:
.Bachelor's degree and experience in business, marketing or related field.
.Strong communication skills.
. Basic knowledge of Word, excel, and PowerPoint.
.Minimum age is 30 and the maximum is 60.
About LikeMinds: Platform for creators to build communities and monetize them: Social Networks have become more media platforms than “social” platforms. They are not designed to make real human connections. Demand for more intimate online places is higher than ever. Communities are in huge demand! Also, these “Ad-driven” platforms only reward top creators. Most creators are left out - no matter how engaged their audience is. They have to constantly beat algorithms to reach out to their own audience. Over 50 million people around the world consider themselves creators. 97% of them aren’t getting paid. As a result creators are flocking to platforms like Slack, Discord, WhatsApp & Telegram - none of which were built either for community engagement or creator monetization. Community creators have to go through the pain of managing multiple third party tools to engage and monetize their community. LikeMinds helps creators to convert their audience into a branded private community. They can monetize it by selling digital products like memberships, group chats, events, consultations and courses. As a platform purpose-built for community entrepreneurs, LikeMinds has inbuilt tools for member acquisition, onboarding, retention, moderation, monetization, and referrals. Our platform enables creators to drive high engagement and belonging via chat rooms, events, polls, member directory, and rewards. These features are in addition to powerful business tools like community website, subscription management, event reminders, analytics dashboard, cohort creation, in-app banners, data export, and much more. Custom integrations are also available for creators with existing assets.In the last few months, we have helped 100+ creators monetize their communities. These include entertainers, fitness & wellness trainers, professional domain experts, language instructors, life coaches, financial experts, micro-entrepreneurship coaches, and exam prep coaches. We are a team of entrepreneurs, techies and community builders with credible backgrounds supported by 2 large VCs.
Job Description:
- Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience
- 2+ years of practical experience in Native Android Development
- 2+ years of experience using Kotlin/Java
- Experience developing highly performant code and view layouts and the ability to diagnose performance bottlenecks
- Designing applications with latest frameworks and architecture such as MVVM, etc.
- An excellent understanding of best practices for concurrency and threading is a big plus
- A disciplined approach to development, testing, documentation and code structure in a team environment
- A constant desire to improve, learn more and take things higher
- Having worked with the Realm database and dagger is a big plus
We are looking for a talented and competitive Sales Development Representative that thrives in a quick sales cycle environment. The successful candidate will play a fundamental role in achieving our ambitious customer acquisition and revenue growth objectives. You must be a pro at using Linkedin, Sales CRM, Email and comfortable making connections via Skype chats or calls every day.
Responsibilities:
- Learn & understand our products and our prospective clients well.
- Understand customer pain points, requirements and correlate Habitate solutions and customer requirements.
- Source new sales opportunities through outbound reach, cold emails, skype chats or phone calls, or anything to reach out to prospective customers.
- Respond, engage and qualify inbound leads and inquiries.
- Engage current users to expand awareness, educate, ask for referrals, identify new opportunities and develop account intelligence.
- Execute planned sales activities and develop a target list of high potential new customers.
- Resolve customer complaints regarding sales and services.
- Achieve monthly & quarterly quotas.
- Perform effective online demos to prospects.
- Manage customer queries.
Requirements:
- Exceptional communication skills, both oral and written, coupled with excellent listening skills and a positive and energetic phone presence.
- Ability to make focused efforts to close deals. The ideal candidate should be strategy-driven with a research-based approach.
- Proven sales development experience, preferably at an Internet startup or SaaS industry.
- Track record of over-achieving quota.
- Savvy with LinkedIn sales navigator, and CRM tools.
- Proficient with corporate productivity and web presentation tools.
- Ability to multitask, prioritize and manage time effectively
we are looking for candidates who have good experiance with
BI/DW Experience of 3 - 6 years with Spark, Scala, SQL expertise
and Azure.
Azure background is needed.
* Spark hands on : Must have
* Scala hands on : Must have
* SQL expertise : Expert
* Azure background : Must have
* Python hands on : Good to have
* ADF, Data Bricks: Good to have
* Should be able to communicate effectively and deliver technology
implementation end to end
Looking for candidates who can join 15 to 30 Days and who will avaailable immeiate.
Regards
Gayatri P
Fragma Data Systems








