Senior Android Developer(Kotlin Multiplatform

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Job Title: Sales Executive

Location: Okhla Industrial Area Phase 1, New Delhi

Job Type: Full-time

Working Hours: 10 AM to 7 PM

Salary: Competitive, with commission opportunities

Responsibilities:

• Conduct cold calls to potential clients to generate leads.
• Research and collect client data from various online sources.
• Identify potential clients from the internet and social media platforms.
• Follow up on leads and maintain consistent communication with clients.
• Negotiate and close sales deals effectively.
• Build and maintain strong, long-lasting relationships with clients.
• Report on sales progress and client interactions to the management team.

Qualifications:

• Previous experience in sales, especially in cold calling, is preferred.
• Strong research skills and the ability to find relevant data and leads online.
• Excellent communication and negotiation skills.
• Ability to build and maintain relationships with clients.
• Self-motivated, goal-oriented, and able to work independently.
• Familiarity with CRM software is a plus.

Benefits:

• Competitive base salary with performance-based bonuses.
• Opportunities for career growth and development.
• Friendly and supportive work environment.

Position Overview: 

The Engineering Manager will work closely with the management and customers and partners globally. He/She will report to the VP - Engineering. He/She will be responsible for shaping the product and strategizing its delivery around when and how it will be done so. 

The ideal candidate should have prior experience as Engineering Manager in a start-up or Product company, developing an Enterprise SAAS product.

Responsibilities: 

●Lead Product Development, QA and Documentation for multiple client Products 

●Deliver Engineering Product Releases and Patches 

●Provide work break-down and be responsible for all Engineering Team deliverables 

●Interact with team members and ensure timely and successful delivery of each sprint iteration 

●Provide technical guidance, coaching and mentoring to the Engineering Team 

●Be responsible for tools and processes for all Engineering activities 

●Work with Product Management and help shape the product roadmap 

●Work with Services Organization and set the right expectations regarding the product roadmap, delivery of enhancements and patches 

●Define and manage quarterly goals for Engineering Team 

●Manage engineering budget, incentive programs and team-building activities 

●Hire and manage Product Development, QA and Documentation Team members 

The Ideal Candidate: 

●Should have completed a 4-year Engineering degree in Computer Science (preferably) or an advanced degree in a similar stream 

●Should have 10-12 years of experience with at least 2-3 years as an Engineering Manager 

●Must have experience with Containerization, Docker, Kubernetes 

●Should have designed and delivered: 

• Open Source based Enterprise Software 

• Software based on Java, Angular JS, ReactJS, Python, no-SQL databases etc

• Solutions in the Cloud (AWS or Azure or Google Cloud Platform (GCP)) 

●Delivered multiple releases of products using Agile Development 

●Delivered Artifacts like Design/Test-Plan/Documentation-Plan documents 

●Possess Team Management skills: 

• Led Product Development Teams involving UI, Middle-Tier and Database developers, QA and Documentation Teams 

• Delivered performance reviews, and improvement plans to team members 

Desired Skills: 

●Experience having worked at a startup or product development company is an advantage 

What you need to have:

Our client is more than 2 decades old NBFC registered with the RBI. The company was set up with an aim to empower rural entrepreneurs, SMEs, and small institutions by micro-financing. The company has come a long way since its inception in 1992 and has evolved with time with the introduction of its App in the small loans sector. At present, the company has more than 5000 employees and has serviced millions of borrowers to accomplish their dreams.

• Translating designs and wireframes into high quality code
• Designing and maintaining high performance, reusable, and reliable Java code
• Ensuring the best possible performance and quality of the application
• Identifying and fixing bugs
• Helping maintain code quality and automatization

Desired Candidate Profile