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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.

1. Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
2. 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.
3. 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.
4. 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:

1. A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
2. Two or three sentences on why this role fits you specifically — not a generic cover letter.
3. Your current compensation expectation in USD per month.
4. 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.

Roles & Responsibilities:

• Create brand and positioning strategy. Own key P&L goals including TVL, User acquisition and # users across multiple chains
• Segmentation, targeting and acquisition strategies across user segments and channels
• Design and implement Stader Labs brand strategy on social media, including Twitter, Discord, Medium and Telegram
• Build and execute communications campaigns across different Proof of Staking chains that tell the Stader Labs story to multiple audiences
• Work with influencers, community to expand the audience and widen reach of Stader Labs
• Design community development and engagement strategies. Manage community managers and implement community strategy

Essential Skills & experience:

• Goal-driven, Structured thinker and Operator
• Experience with Community building across social media
• 3-5 years in growth marketing or product marketing, preferably with experience in the blockchain/cryptocurrency space
• Excellent verbal and written communication skills (English). Multiple languages is a plus.
• Prior community management experience is a plus

• Competitive CTC on par with market along with ESOPs/Tokens
• Opportunity to work with a global, world class mission driven team
• Remote work, flexible work hours

Required skills:-

2+ years of experience in the Development of JAVA technology.

Strong Java Basics

SpringBoot or Spring MVC

Hands-on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)

Proficient in REST API development

Messaging Queue (RabitMQ or Kafka)

Microservices

Any Caching Mechanism

Good at problem-solving

Good to Have Skills:

2+ years of experience in using Java/J2EE tech stacks

Good understanding of data structures and algorithms.

Excellent analytical and problem solving skills.

Ability to work in a fast-paced internet start-up environment.

Experience in technical mentorship/coaching is highly desirable.

Understanding of AI/ML algorithms is a plus.

• Plan and execute all digital marketing efforts, including SEO/SEM, marketing databases, email, social media, and display ads.
• Create, manage, and improve our social media presence.
• All digital marketing efforts should be measured and reported on, and goals should be evaluated (ROI and KPIs)
• Identify patterns and insights, and then improve your spending and performance based on them.
• Consider fresh and innovative growing techniques.
• Experiments and conversion tests should be planned, executed, and measured.
• Work with internal teams to develop landing pages and improve the user experience.
• Use your analytical skills to assess the entire consumer experience across numerous channels and contact points.
• Conversion points are measured and user funnels are optimized.
• Collaborate with other vendors and agencies.

• Demonstrate, present and promote services to salons, spas & gyms (Beauty & Wellness Industry)
• Should have excellent verbal & presentation skills
• Knowlege of local language is a must
• Should be inovative and target driven
• Willing to travel
• Demonstrate honesty & integrity

• Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
• Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
• Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
• Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
• Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

• Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
• 5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
• Technical expertise with data models, data mining.
• Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
• Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
• Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
• Hands-on knowledge in SQL and No-SQL database design.
• Having knowledge in CI/CD for the building and hosting of the solutions.
• Having AWS certification is an added advantage.
• Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
• A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
• A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists

Qualifications:

• Bachelor’s degree in management, finance or computer sciences or equivalent experience
• 6+ years of IT management experience, preferably within the small and medium business market.
• 8+ year in Software/SAAS business
• Project management experience preferred

Responsibilities:

• Setting a vision for how technology will be used in the company.
• Product lifecycle from architecture perspective
• Ensuring that the technological resources meet the company's short and long-term needs.
• Creating timelines for the development and deployment of all technological services
• Making executive decisions on behalf of the company's technological requirements
• Acting as a mentor to team members
• Maintaining a consumer-focused outlook and aiding in the delivering of IT projects to market
• Staying on top of technology trends and developments
• Powerful coder with an expertise in PhP, Laravel, Javascript, Architecture Design, Database Design and having agile mindset
• Must have strong knowledge in AWS infrastructure

Desired Skills:

• Communication
• Planning & Execution
• Problem Solving
• Project Management 
• Quality Management
• Knowledge of deployment tasks such as on site deliveries, installation, acceptance
• Risk assessment 
• Decision Making
• Customer focus

Sneed is an online marketplace that connects people looking for ready use offices to potential providers. Our digital platform has helped freelancers, small enterprises and large corporates discover an efficient way of managing their office space requirements while helping our partners like wework, cowrks, awfis and hundreds more find new users to sign up for their services.

We are present across 27 cities across the country and growing exponentially. At present we are building our field sales teams across the country. The job will involve:

Roles and Responsibilities:

• Interacting with customers and requirement gathering
• Facilitating conversations and negotiations to execute transaction processes.
• Establishing and maintaining relationships with clients and the space partner / property owners.
• Schedule site tours / property inspection for clients as requested.
• Creating and maintaining sales pipeline,
• Generating revenue and achieving sales targets.
• Market insights and intelligence about local markets
• Complete research as necessary by collecting and analyzing property information.

An ideal candidate would therefore have:

• Worked for 2-4 years in sales or transaction manager in commercial leasing.
• Possesses high negotiation skills
• Great communication skills and ability to work on targets
• The ability to build deep relationship with customers
• The ability to work with team as a team player
• High analytical skills.

* Work experience in the real estate industry, hospitality, coworking etc will be preferred.