Azure DevSecOps Engineer (Security-Focused)

Male candidates only. This position is based out of Bommasandra, Bangalore.

Core Responsibilities

Strategic Planning: Develop and execute integrated sales and marketing plans for EMC Products, Resistors, Heating elements and other products in company product line-up to meet defined revenue targets.

Lead Generation & Prospecting: Independently source new business opportunities

Campaign Management: Design, implement, and monitor marketing campaigns

Client Relationship Management: Maintain a portfolio of existing accounts, ensuring high customer satisfaction and identifying opportunities for upselling or cross-selling.

Market Intelligence: Conduct regular competitor analysis and research market trends to adjust pricing strategies and product positioning.

Sales Presentations: Deliver persuasive, tailored product demonstrations and proposals to high-ticket decision-makers (CEOs, CFOs, etc.).

Performance Analytics: Track and report on KPIs such as lead conversion rates, demo-to-close ratios, and ROI of marketing spend using CRM and analytics tools. 

Being in update ongoing & upcoming defence projects and finding opportunities with DRDOs, PSUs (BEL,BEML,ECIL,HAL,HVF,etc), Other defence equipment manufacturing companies to Pitch our products for their application.

Key Skills & Qualifications (2026 Standards)

Education: Bachelor’s degree in Engineer (Electrical, Electronics, Communication) , or MBA

Experience: 2 to 3 years of proven success in a B2B or B2C sales/marketing environment.

Technical Proficiency: Hands-on experience with CRM software, MS Office, Etc

Preference will be given for candidates with Defence product background.

Soft Skills

Consultative Selling: Shifting from "presenting" to problem-solving and acting as a trusted advisor.

Negotiation: Proven ability to handle complex objections and close high-value deals.

Adaptability: Ability to quickly pivot strategies based on shifting consumer behaviours and algorithm updates. 

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.

5 to 9 years of experience with Microsoft Dynamics CRM / Dynamics 365 CE development and implementation.

Strong experience with CRM customization, including entity customization, views, forms, workflows, business rules, and dashboards.

Proficient in C#, .NET, JavaScript, and Web API for plugin and custom workflow development.

Experience with CRM integration tools such as KingswaySoft, Scribe, or custom integrations.

Knowledge of Power Platform (PowerApps, Power Automate) is a plus.

Hands-on experience with CRM data migration and ETL tools.

Good understanding of software development life cycle (SDLC) and Agile methodologies.

Strong analytical and problem-solving skills.

Excellent communication and interpersonal skills.

Key Responsibilities:
● Node.js Developer responsible for managing the interchange of data between the server and the users.
● Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.
● You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.
● Strong proficiency with JavaScript
● Knowledge of Node.js core and frameworks Express, StrongLoop, koa, hapi etc
● Understanding the nature of asynchronous programming and its quirks and workarounds
● Good understanding of server-side templating languages
● Good understanding of server-side CSS preprocessors
● Basic understanding of front-end technologies, such as HTML5, and CSS3
● Understanding accessibility and security compliance
● Integration of multiple data sources and databases into one system
● Understanding fundamental design principles behind a scalable application
● Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
● Creating database schemas that represent and support business processes
● Implementing automated testing platforms and unit tests
● Proficient understanding of code versioning tools, such as Git.

Technical Skills:
● Expert knowledge of key Web technologies as HTML5, CSS3,
● Expert in JavaScript / AJAX, NodeJS, React.
● Expert knowledge of OO Analysis and Design,
● Expert on Design Patterns and Frameworks as NodeJS, React.
● Knowledge of Agile methodologies (Scrum).
Soft Skills:
● Self-motivation to work independently and strong work ethic.
● Ability to work in a team, and adapt to new and evolving processes.
● Flexibility and adaptable
● Deep experience with Agile

Technical skills required: 

• 5+ years building enterprise systems 
• Worked on one or more large scale applications on Python Django
• Good understanding of distributed systems, scalability, and availability with an understanding of the CAP theorem and its implications for real-world distributed systems
• Understanding of distributed systems like Dynamo, HBase, various messaging and queuing systems and understanding of Time, Clocks, and Ordering of Events, rate control, load distribution
• Good knowledge of one or more relational and NoSQL databases and transactions Shrewd focus on latency and throughput of services
• In-depth understanding of concurrency, synchronization, NIO, memory allocation, and GC
• Experience with IaaS clouds like AWS/Google Cloud, Azure, OpenStack etc. 
• Experience in working with Message Brokers and Application Containers
• Ability to detect fraud and risk mitigation

Responsibilities:

• Code reviews, ensuring that the code follows the best technical practices and design patterns
• Follow best technical practices, incorporate emerging solutions, and employ scalable designs that can be easily adopted
• Architect solutions by mapping customer business problems to end-to-end technology solutions
• Experience in working with Agile Methodology
• Regular monitoring and audits of the cloud infrastructure
• Managing System monitoring tools and developing processes for handling crisis situations
• Managing the development team and the support team. Setting processes that will increase the team’s efficiency
• Handling technical and managerial interviews for expansion of the team

Qualification and experience:

• B.E/B.Tech/M.E./M.Tech/M.S.
• 5+ years of experience  working as a full stack engineer with a track record of delivering scalable products
• FinTech experience with Prepaid payment instruments and UPI experience is a big plus
• Machine learning experience would be preferable