ML Engineer II

Growel Softech • JavaScript • TypeScript • Node JS • 26 days ago
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Salary
≈ $21k – $52k per year (Estimated)
Location
In office (Bengaluru, Thiruvananthapuram)
Seniority
Middle · 6+ years exp

First seen by Alion on Sep 3, 2026.

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Growel Softech

Growel Softech is an Indian IT and non-IT staffing and recruitment firm headquartered in Pune, Maharashtra, offering contract staffing, permanent recruitment, HR consultancy, recruiter-on-demand and VFX talent services. Founded in 1999, it supplies technology professionals to major IT services companies and enterprise clients across India, with openings in Bengaluru, Hyderabad, Chennai, Mumbai and other cities. The roles it recruits for include SAP and Salesforce consultants, Java and full-stack developers, data, cloud and security architects, business analysts, embedded engineers and automation testers.
growelsoftech.com • HQ: Pune, India • Est. 1999

We are looking for a Senior, Autonomous Software Engineer to build AI-powered product features for a Contact Center as a Service (CCaaS) platform. This role combines AI systems, full-stack development, real-time communications, and scalable cloud architecture.

The engineer will work across AI-powered CCaaS capabilities including real-time and post-call transcription, LLM features, RAG pipelines, knowledge bases, prompt management, and AI-driven workflows.

Key Responsibilities :

1. AI & LLM :

- Design and implement AI-powered features for CCaaS use cases.

- Build real-time and post-call transcription services.

- Develop LLM features including summarization, agent assist, analytics, and automation.

- Build prompt management, versioning, orchestration, and evaluation mechanisms.

- Design and implement RAG pipelines, vector search, and knowledge-base ingestion.

- Integrate AI services such as OpenAI, Azure OpenAI, AWS Bedrock, or similar.

- Consider latency, accuracy, cost, reliability, security, and privacy in AI systems.

2. Full-Stack Development :

- Develop backend services using Node.js, TypeScript, and NestJS.

- Develop frontend applications using React.js.

- Build AI-assisted workflows, agent tools, dashboards, and real-time UI experiences.

- Contribute to API design and frontend-backend integrations.

3. Architecture & Scalability :

- Design scalable, modular, loosely coupled, and observable architectures.

- Build event-driven, asynchronous, and distributed systems.

- Work with real-time and high-volume data workloads.

- Use message brokers/streaming platforms such as Apache Kafka.

- Design for high availability, fault tolerance, latency, throughput, and cost efficiency.

4. Voice & Telephony :

- Work with VoIP, real-time communications, and contact center platforms.

- Hands-on experience with :

1. SIP signaling

2. RTP/SRTP media handling

3. IVR

4. DTMF RFC 2833 / SIP INFO

5. WebSocket media gateways

6. Audio codecs G.711, G.722, Opus

7. PSTN interoperability

8. Telecom-grade HA/DR

- Handle real-time and near-real-time data streams.

5. Cloud & Engineering :

- Work with AWS and/or Azure cloud-native architectures.

- Use Docker and Kubernetes.

- Follow Git workflows and CI/CD best practices.

- Build automated tests for business-critical and AI-dependent functionality.

- Implement observability for distributed and AI-driven systems.

- Participate in code reviews and architectural discussions.

- Maintain technical documentation.

6. Product & Collaboration :

- Work with Product Managers, Designers, QA, and Engineers from discovery to delivery.

- Translate product requirements into technical designs and implementation plans.

- Own features end-to-end from concept to production.

- Challenge assumptions and propose better technical and product solutions.

- Mentor peers and contribute to engineering best practices.

Required Skills & Experience :

- Bachelor's degree in Computer Science or equivalent practical experience.

- 6 - 8 years of professional software development experience.

- Strong experience with :

1. React.js

2. Node.js

3. TypeScript

4. NestJS

5. MERN Stack

- Hands-on experience building AI-powered production features.

- Strong knowledge of :

1. LLMs

2. Prompt engineering and prompt lifecycle management

3. RAG architectures

4. Vector search

5. Knowledge-base ingestion and enrichment

6. AI governance

- Experience integrating OpenAI, Azure OpenAI, AWS Bedrock, or similar AI services.

- Experience with Docker and Kubernetes.

- Experience with AWS and/or Azure.

- Experience with Apache Kafka or similar messaging/streaming platforms.

- Strong understanding of distributed and event-driven architectures.

- Experience with VoIP, SIP, RTP/SRTP, IVR, DTMF, WebSocket media gateways, PSTN, and audio codecs.

- Experience with real-time or near-real-time data streams.

- Strong Linux, Git, and CI/CD experience.

- Understanding of observability, AI security, governance, and privacy.

Skills

Machine Learning, Contact Center Analytics, LLM, Artificial Intelligence, Full Stack, Prompt Engineering, SIP, Cloud, Telecom, VectorDB, RAG

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