Senior OT Cybersecurity Engineer

Position: Deputy Manager – Motor Control Unit Software Testing Engineer

Location:Bangalore

Employment Type: Contract

Experience: 3–5 Years

Industry Preference: Automotive

Educational Qualification: B.Tech / M.Tech in Electrical Engineering or related discipline

About the Role 

We are looking for a Motor Control Unit (MCU) Software Testing Engineer with experience in software functional verification at component and vehicle level for automotive motor control applications. The role involves component-level and vehicle-level functional verification of motor control software, execution of test strategies, calibration, dyno testing, and validation activities for induction motor and PMSM-based systems.The ideal candidate should possess hands-on experience in MCU software testing, debugging, calibration, and validation using industry-standard automotive tools and processes.

  Key Responsibilities 

• Perform functional verification and validation of Motor Control Unit software at component and vehicle level
• Work on Motor Control Field Oriented Control (FOC) software architecture for  Induction Motors,  Permanent Magnet Synchronous Motors (PMSM)
• Create and execute Design Verification Plans (DVP) for MCU software
• Perform Software unit level testing,  System level testing,  Dyno tuning activities
• Develop test cases, execute test scenarios, identify issues, and coordinate with development teams for issue resolution
• Generate validation and testing reports for validation teams
• Prepare and maintain DVPR documents, SOR documents, Production reports
• Perform MCU software calibration activities at vehicle level
• Utilize testing and debugging tools including  Vector CANoe, CANalyzer, Lauterbach debugger tools, PLS systems

Required Skills  

• Strong understanding of Motor Control FOC software architecture
• Good knowledge of Embedded C programming
• Experience in automotive embedded software testing and validation
• Experience in software debugging, calibration, and verification activities
• Good analytical and problem-solving skills 

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.

Job Brief:

• Proficient with Microsoft .NET & .NET Core development using C#, Web API.
• Good understanding of Design Patterns and Principles.
• Must have an experience on Angular6/7//8.
• Having knowledge of in NodeJS / VueJS / ReactJS will be an added advantage.
• Excellent Communication, presentation, problem-solving and team working skills
• Interact with Clients & handle single project.

COVID-19 considerations:
Currently all our employees are doing Work From Home till situation goes better

Experience :
Dot Net Framework and Dot Net Core: minimum 6 months (Preferred)
Angular 6/7/8 : Minimum 6 months ( Preferred)

Roles and Responsibilities:
 

Mandatory Skills: 

•  Teamcenter Customization related to ITK, RAC, Active Workspace 
• Strong in programming skills like C, C++, Java & OOPS concepts 
• BMIDE Codeful and codeless customization 
• Teamcenter SOA development 
• TC Configuration e.g., Preferences, ACL, Style sheets etc. 
• Good exposure to Teamcenter data model, Architecture, BMIDE etc., 

What we are looking for: 

• Strong in programming skills like C, C++, Java & OOPS concepts 
• Should have strong knowledge in ITK and should be able to write Handlers, Extension, Scripts and programs 
• Should have good knowledge in RAC, Active workspace customization 
• Should have good knowledge in Workflows, BMIDE, Preferences, Stylesheets, Access Rules, Query Builder, Project etc 
• Should have strong technical capabilities and functional knowledge in multiple PLM Modules. 
• Should have very good understanding of Teamcenter Data Model 

We are looking for an enthusiastic Customer Support Executive who possesses a strong drive for results. The ideal candidate should showcase the following skills - 

• Fluent communication skills in English and Hindi
• Proven customer support experience of 1-3 years
• Engaging with customers and earning their trust
• Building sustainable relationships with customers
• Patient, empathetic, self-motivated
• Experience with CRM and tool handling
• Bachelor's degree, preferably in Computer/IT Engineering
• Prior experience in Ed-tech platform is mandatory

Following are the day-to-day roles and responsibilities - 

• Making outbound calls to registered users, interacting with them, providing necessary information, and resolving any queries
• Taking inbound calls from customers to resolve any queries or complaints
• Accurately explaining all details of courses offered to parents and students
• Ensuring a smooth journey for customers, from registering to completing a demo session
• Ensuring maximum customer satisfaction
• Having inside-out knowledge of our product and course offerings
• Explaining technical subjects to customers with a non-technical background

• 2018 & 2019 batches of BE/B.Tech – CS/CE/IT/E&C/E&TC/Telecom/Communications/Electronics or MCA and other circuit branches of relevance to corporations and industry qualifying degrees.
• Candidate must have graduated the qualifying course in 2018 without any backlog.
• Candidates graduated in 2019, meeting the criteria, also stand eligible.
• Candidate should have scored a minimum of 60% in SSC/10th, HSC/12th/Diploma, and UG/PG as applicable.
• Not more than a gap year since SSC, meaning no loss of the academic year after joining a course.
• Flexible to relocate anywhere in India, and willing to work on any skill/domain/work timings.