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ML Engineer II
Job Location:
Monthly Salary:
Posted:
8 September 2026 (Yesterday)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Company Name: VARITE India Private Limited
About The Client:
Client is a leading digital transformation solutions provider and IT services company with over 30000 employees across 30 countries. Headquartered in Aliso Viejo California it helps Fortune 500 and Global 1000 clients with digital cloud AI cybersecurity and engineering services.
About The Job:
Unlock Rewards: Refer Candidates and Earn.
If youre not available or interested in this opportunity please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program where youll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA UK CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking Cloud Infrastructure Hardware and Software Digital Marketing and Media Solutions Clinical Diagnostics Utilities Gaming and Entertainment and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race color religion sex sexual orientation gender identity or expression national origin age marital status veteran status or disability status
About The Client:
Client is a leading digital transformation solutions provider and IT services company with over 30000 employees across 30 countries. Headquartered in Aliso Viejo California it helps Fortune 500 and Global 1000 clients with digital cloud AI cybersecurity and engineering services.
About The Job:
- We are looking for senior autonomous software engineers to build AI-powered product features for a Contact Center as a Service (CCaaS) platform.
- This role sits at the intersection of product engineering AI systems and scalable cloud architecture.
- You will design build and evolve AI-based capabilities such as: Real-time and post-call transcription services LLM- features (summarization agent assist analytics automation) Prompt management and orchestration Retrieval-Augmented Generation (RAG) pipelines Knowledge base ingestion and management AI-driven workflows embedded directly into CCaaS user experiences
- You are expected to deeply understand product requirements make technical decisions independently and contribute end-to-end from architecture and backend services to frontend experiences.
- Designed and developed AI-powered CCaaS product features using LLMs RAG embeddings vector search transcription and real-time AI processing.
- Integrated OpenAI Azure OpenAI AWS Bedrock transcription engines and external AI services into production applications.
- Designed and implemented prompt strategies prompt versioning evaluation frameworks guardrails and AI reliability mechanisms.
- Built RAG pipelines covering knowledge ingestion document processing chunking enrichment embedding generation vector indexing retrieval and LLM response generation.
- Designed scalable and modular architectures for real-time high-volume contact-center and AI workloads.
- Developed event-driven and asynchronous systems using Kafka message brokers WebSockets REST APIs and distributed processing.
- Designed AI workflows with consideration for latency accuracy token usage infrastructure cost throughput reliability and graceful degradation.
- Developed backend services using TypeScript and NestJS including REST APIs WebSocket services background workers event consumers and third-party integrations.
- Developed applications for AI-assisted agent workflows real-time dashboards conversation monitoring transcription views call controls and AI recommendations.
- Built real-time UI experiences using WebSockets and event-driven frontend architectures for live customer and agent interactions.
- Designed frontend-backend API contracts validation authentication authorization error handling and integration patterns.
- Designed and implemented VoIP and telephony solutions using SIP RTP/SRTP IVR DTMF PSTN WebSocket media gateways and real-time audio streaming.
- Implemented and integrated DTMF using RFC 2833/4733 and SIP INFO for IVR and call-control workflows.
- Designed real-time voice pipelines connecting SIP/RTP media WebSocket gateways speech-to-text LLM and text-to-speech services.
- Worked with G.711 G.722 and Opus codecs including codec negotiation transcoding media compatibility and audio-quality considerations.
- Designed telecom-grade high-availability and disaster-recovery architectures for real-time voice and CCaaS platforms.
- Implemented real-time processing of call events transcription events AI events agent actions and customer interaction data.
- Built and maintained MongoDB PostgreSQL Redis and vector database solutions for transactional caching search and AI retrieval workloads.
- Containerized applications using Docker and deployed scalable services on Kubernetes across AWS/Azure cloud environments.
- Implemented CI/CD pipelines automated testing deployment automation Git workflows and production release processes.
- Implemented observability using metrics structured logging distributed tracing health checks monitoring and alerting across AI and distributed services.
- Improved system resiliency using timeouts retries circuit breakers rate limiting fallback mechanisms failover and fault-tolerant service patterns.
- Implemented security and privacy controls for systems processing customer conversations PII voice data and AI-generated content.
- Built automated unit integration API end-to-end and AI evaluation tests for business-critical functionality.
- Collaborated with product managers designers QA and engineering teams to convert business requirements into technical designs and production-ready implementations.
- Challenged technical and product assumptions and proposed simple scalable maintainable solutions instead of unnecessary over-engineering.
- Participated in architecture reviews code reviews technical documentation engineering standards mentoring and continuous improvement initiatives.
Skills
- AI / GenAI: LLMs Generative AI Prompt Engineering Prompt Versioning Prompt Lifecycle Management Prompt Evaluation RAG Embeddings Vector Search Vector Databases Knowledge Base Ingestion Knowledge Enrichment LLM Evaluation AI Guardrails AI Governance AI Security
- AI Platforms & Services: OpenAI Azure OpenAI AWS Bedrock Speech-to-Text Text-to-Speech Transcription Engines LLM APIs AI Provider Integrations
- Voice / Telephony / CCaaS: SIP RTP SRTP VoIP IVR DTMF RFC 2833/4733 SIP INFO WebSocket Media Gateways PSTN Interoperability Call Routing Call Queues Call Transfers Real-Time Audio Streaming
- Audio / Media: G.711 μ-law/A-law G.722 Opus Codec Negotiation RTP Media SRTP Audio Transcoding Media Processing Jitter Packet Loss Real-Time Media
- Backend: TypeScript NestJS REST APIs WebSockets Microservices Event-Driven Architecture Distributed Systems Asynchronous Processing
- Frontend / MERN: JavaScript TypeScript HTML5 CSS3 Redux React Hooks Real-Time UI AI-Assisted UX Agent Dashboards MERN Stack
- Databases: MongoDB PostgreSQL Redis Vector Databases Database Indexing Data Modeling Aggregation Pipelines
- Messaging / Streaming: Apache Kafka Message Brokers Event Streaming Pub/Sub Asynchronous Messaging Real-Time Event Processing
- Cloud / DevOps: AWS Azure Docker Kubernetes CI/CD Git Linux Cloud-Native Architecture Containerization High Availability Disaster Recovery
- Architecture: Microservices Modular Architecture Event-Driven Architecture Distributed Architecture Real-Time Systems Scalable Systems Fault-Tolerant Systems High-Throughput Systems
- Observability: Distributed Tracing Metrics Structured Logging Monitoring Alerting Health Checks Performance Monitoring AI Observability
- Reliability / Performance: Latency Optimization Throughput Optimization Cost Optimization Fault Tolerance Circuit Breakers Retry Strategies Rate Limiting Failover Resiliency
- Testing: Jest Unit Testing Integration Testing API Testing End-to-End Testing Automated Testing AI Evaluation Testing
- Security: OAuth/OIDC JWT RBAC API Security PII Protection Data Privacy AI Governance Secure Third-Party Integrations
- Engineering: System Design API Design Technical Documentation Code Reviews Git Workflows CI/CD Agile/Scrum Production Support Performance Optimization Mentoring
Unlock Rewards: Refer Candidates and Earn.
If youre not available or interested in this opportunity please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program where youll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
| 0-2 years | INR 5000 |
| 2-6 years | INR 7500 |
| 6 years | INR 10000 |
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA UK CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking Cloud Infrastructure Hardware and Software Digital Marketing and Media Solutions Clinical Diagnostics Utilities Gaming and Entertainment and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race color religion sex sexual orientation gender identity or expression national origin age marital status veteran status or disability status
Required Experience:
IC
