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AI/ML Software Engineer
TopGrep Tech Private Limited's logo

AI/ML Software Engineer

Arockia Doss's profile picture
Posted by Arockia Doss
0 - 2 yrs
₹3.5L - ₹7L / yr
Bengaluru (Bangalore)
Skills
Artificial Intelligence (AI)
skill iconData Science
skill iconMachine Learning (ML)
MERN Stack

About the Role

We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.



Key Responsibilities

  • Design, develop, and deploy machine learning models into production environments
  • Build and maintain scalable ML pipelines for data processing, training, and inference
  • Collaborate with cross-functional teams to identify AI-driven product opportunities
  • Translate business requirements into ML solutions and technical implementations
  • Optimize model performance, accuracy, and latency for real-time applications
  • Integrate AI/ML models with APIs and backend systems
  • Monitor model performance and implement continuous improvement strategies
  • Ensure best practices in data handling, model versioning, and reproducibility
  • Stay updated with the latest advancements in AI/ML and apply them to product innovation


Required Skills & Qualifications

  • Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
  • Strong programming skills in Python (experience with Java/Go is a plus)
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Solid understanding of machine learning algorithms and statistical concepts
  • Experience in building and deploying ML models in production
  • Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
  • Experience with data processing tools (Pandas, NumPy, Spark, etc.)
  • Knowledge of version control systems like Git 


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About TopGrep Tech Private Limited

Founded :
2022
Type :
Product
Size :
0-20
Stage :
Bootstrapped

About

N/A

Company social profiles

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Job Details

- Job Title: Software Developer (Python, React/Vue)

- Industry: Technology

- Experience Required: 2-4 years

- Working Days: 5 days/week

- Job Location: Remote working

- CTC Range: Best in Industry


Review Criteria

  • Strong Full stack/Backend engineer profile
  • 2+ years of hands-on experience as a full stack developer (backend-heavy)
  • (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
  • (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
  • (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
  • (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
  • (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
  • (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
  • Product companies (B2B SaaS preferred)


Preferred

  • Preferred (Location) - Mumbai
  • Preferred (Skills): Candidates with strong backend or full-stack experience in other languages/frameworks are welcome if fundamentals are strong
  • Preferred (Education): B.Tech from Tier 1, Tier 2 institutes


Role & Responsibilities

This is not just another dev job. You’ll help engineer the backbone of the world’s first AI Agentic manufacturing OS.

 

You will:

  • Build and own features end-to-end — from design → deployment → scale.
  • Architect scalable, loosely coupled systems powering AI-native workflows.
  • Create robust integrations with 3rd-party systems.
  • Push boundaries on reliability, performance, and automation.
  • Write clean, tested, secure code → and continuously improve it.
  • Collaborate directly with Founders & Snr engineers in a high-trust environment.

 

Our Tech Arsenal:

  • We believe in always using the sharpest tools for the job. On that end we always try to remain tech agnostic and leave it up to discussion on what tools to use to get the problem solved in the most robust and quick way.
  • That being said, our bright team of engineers have already constructed a formidable arsenal of tools which helps us fortify our defense and always play on the offensive. Take a look at the Tech Stack we already use.
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3 - 10 yrs
₹10L - ₹30L / yr
Artificial Intelligence (AI)
HIPAA
Backend testing
API management

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.


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We’re looking for a Senior Fullstack Engineer who loves crafting delightful, high-performance applications that can handle thousands of concurrent users — and who thrives at the intersection of elegant UX and robust backend systems.

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EasySLR is pioneering the future of systematic literature reviews through AI and innovative technologies. Our platform, recognized by industry leaders and academic communities alike, redefines the way researchers conduct reviews, making the process faster, smarter, and more intuitive. We've been at the forefront of AI-driven research, presenting at major conferences and setting new standards in evidence synthesis. If you are a visionary leader with a passion for technology and a drive to make a significant impact, we want you to join our mission to transform the research landscape.


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- Lead and mentor a team of talented engineers, fostering a culture of innovation, collaboration, and continuous learning.


- Architect and oversee the development of a scalable, high-performance platform that integrates cutting-edge AI technologies and industry best practices.


- Drive the engineering strategy, ensuring alignment with our product vision and business goals.


- Collaborate closely with cross-functional teams, including product, design, and AI experts, to deliver a world-class product experience.


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- Strong background in designing and scaling complex, distributed systems with a focus on performance and security.


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- Exceptional problem-solving skills, with a strategic mindset and the ability to make data-driven decisions.


- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.


What We Offer :


- The opportunity to lead a cutting-edge platform at the intersection of AI and systematic literature reviews.


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- A vibrant, inclusive work culture that values diversity, innovation, and work-life balance.


- The chance to make a meaningful impact in a fast-growing, AI-first SaaS company shaping the future of research.


Ready to lead the engineering efforts that will drive the next generation of AI-driven systematic reviews? Join us at EasySLR and be part of a team that's revolutionizing the research process. Apply now and embark on an exciting journey at the forefront of technology and innovation

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1. Develop responsive, user-friendly, and visually appealing web applications using React, Node.js, and Tailwind. 

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3. Implement UI designs and build reusable components with React and Tailwind. 

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5 days a week 

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Number of openings 


About Strategy Connect

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We Build Valuable Solutions With Code
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via Sygnific Services by Sheeba Patel
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We are looking for a Full-stack Node.js, React js.
- 2+ years of experience with ReactJS
- 2+ years of experience with NodeJS
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1 video
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At Smart Audit, we rely on our dynamic team of engineers to solve the many challenges and puzzles that come with our rapidly evolving technical stack. We’re seeking a full-stack engineer who is ready to work with new technologies and architectures in a forward-thinking organization that’s always pushing boundaries. Here, you will take complete, end-to-end ownership of projects across the entire stack. Our ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and back end languages. You’ll be joining a small team working at the forefront of new technology, solving the challenges that impact both the front end and back end architecture, and ultimately, deliver amazing global user experiences.

 

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Visit http://www.smartaudit.co" target="_blank">www.smartaudit.co to know more
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3 years of experience in developing end-to-end modern web applications
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Benefits
Be a part of a well-funded, high growth insurtech startup
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ESOPs and wealth creation opportunity
Flexible and fun work environment

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Bimaplan is an affordable insurance platform for the next billion Indians. Our vision is to provide financial security to 150 million underserved Indian households through affordable life and health insurance. Increasing mobile penetration and evolution of digital infrastructure in India has now made it possible to reach this vulnerable population. We work with insurers to co- create affordable insurance plans and distribute through a vernacular app and a flexible referral network.

Bimaplan is founded by Vikul Goyal, and backed by Y Combinator. Vikul has extensive experience as a start-up founder and early stage investor in India. His previous start-up, Carcrew, was recently acquired by TVS. Vikul has an MBA from Harvard Business School, and a B.Tech. in Mechanical Engineering from IIT Guwahati. Our CTO, Chandan Mittal, is a Computer Science graduate from IIIT, and comes with five years of experience building scalable products at Amazon, Sharechat, and Udaan.

We are backed by some of the best global early-stage technology investors, prolific fintech founders, and experienced insurance industry veterans.

Read more
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Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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