Sr. Business Development Manager

Job Title: Full Stack Engineer

Location: Delhi-NCR

Type: Full-Time

Responsibilities

Frontend:

• Develop responsive, intuitive interfaces using HTML, CSS (SASS), React, and Vanilla JS.
• Implement real-time features using sockets for dynamic, interactive user experiences.
• Collaborate with designers to ensure consistent UI/UX patterns and deliver visually compelling products.

Backend:

• Design, implement, and maintain APIs using Python (FastAPI).
• Integrate AI-driven features to enhance user experience and streamline processes.
• Ensure the code adheres to best practices in performance, scalability, and security.
• Troubleshoot and resolve production issues, minimizing downtime and improving reliability.

Database & Data Management:

• Work with PostgreSQL for relational data, ensuring optimal queries and indexing.
• Utilize ClickHouse or MongoDB where appropriate to handle specific data workloads and analytics needs.
• Contribute to building dashboards and tools for analytics and reporting.
• Leverage AI/ML concepts to derive insights from data and improve system performance.

General:

• Use Git for version control; conduct code reviews, ensure clean commit history, and maintain robust documentation.
• Collaborate with cross-functional teams to deliver features that align with business goals.
• Stay updated with industry trends, particularly in AI and emerging frameworks, and apply them to enhance our platform.
• Mentor junior engineers and contribute to continuous improvement in team processes and code quality.

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

Title

Senior Full Stack Developer – Build the Future of Recruitment AI

About the Company

TurboHire is redefining enterprise hiring through cutting-edge AI and intelligent automation. Our platform enables large organizations to hire smarter, faster, and at scale. As a rapidly growing HR Tech company, we offer an environment driven by innovation, ownership, and high-impact problem solving.

Job Overview

At TurboHire, we’re looking for a Senior Full Stack Developer who wants to build products that truly scale. This isn’t just another development role — it’s an opportunity to architect and deliver enterprise-grade AI products that solve complex, real-world challenges.

You will work across the stack with strong ownership and technical influence, solving large-scale engineering problems while collaborating with a sharp, driven, and fast-moving team. If you are passionate about clean architecture, performance, scalability, and building products that matter, this role offers the platform to do exactly that — while growing with a company that is scaling rapidly.

Key Responsibilities

• Architect and build high-impact, enterprise-grade AI-driven products
• 
  
• Collaborate with designers and engineers to develop scalable web applications
• 
  
• Write clean, efficient, and production-ready code
• 
  
• Take end-to-end ownership of features from design to deployment and maintenance
• 
  
• Ensure adherence to software engineering best practices for performance and scalability
• 
  
• Leverage modern tools, frameworks, and third-party services to accelerate delivery
• 
  

Eligibility Criteria

• Bachelor’s degree in Engineering, MCA, or equivalent
• 
  
• Strong foundation in Object-Oriented Programming
• 
  
• Experience working in Agile development environments
• 
  
• Familiarity with version control systems, build tools, and web frameworks
• 
  
• Proficiency in Git
• 
  
• Knowledge of C# or Java is an added advantage
• 
  
• 4–8 years of relevant work experience
• Tech Stack: Backend = Asp.net or Java or C++
• Frontend = React or Angular or Knockout etc
• RESTful APIs
• Database - SQL Server
• 
  

Come build what’s next.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

.

Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

• Create an engaging and knowledgeable online Shopify store to increase sales and revenue
• Extensive knowledge in HTML5
• Create bespoke Shopify themes and change pre-existing templates per pre-defined brand guidelines
• Be an expert in all aspects of the ECommerce platform
• Work with the UX and UI Design Teams to create unique, strong, and inventive front-end user experiences
• Ensure a smooth connection with Marketing Tools, Platform APIs, and Shopify Apps to optimize the shop for overall efficiency and functionality
• Test and debug websites regularly to improve performance
• Based on their findings, they provide technical support and coordination, protecting enterprises against failure
• Increase conversion rates by optimizing your website

• Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding
• Read and keep up with the research in Speech recognition, Machine Learning, Deep

• Understand and implement research papers to the business problem and build the

• Contribute to applied research and open source community
• Mentor and guide team members

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

Job Description:

MySQL - DBA L3 Support

# 7 -10  years of experience in MySQL, handled multiple versions & flavors of MySQL servers both for standalone & enterprise version, Data center and VM/Cloud setup.

# Strong database Configuration and troubleshooting / problem solving skills.

# Strong knowledge of database backup and recovery concepts and practices.

# Enabling disabling scheduled Jobs on MySQL Server

# Work with Dev and DevOps engineers to ensure that all needed data is gathered and provided to them for any performance issues

# Experience in managing both on-prem DB as well as VM / cloud based DBs

# Maintenance of backups (perform backups, monitor backup, report obsolete backups)

# Maintenance of user access (creating user accounts, dropping user accounts, granting privileges)

# Maintenance of log and trace files (remove, initialize, archive them)

# Knowledge on SQL scripts

# Managing Database administration includes Daily health checks, Database tuning, Query optimization & Backup & Replication

# Experience in alert configurations using existing alerting tools or scripts

Own Android SDKs, working hand-in-hand with the founding team

Design and build delightful user interfaces for native apps on Android

You will be (co-) responsible for our software development kit (SDK) for Android

Building mobile apps in both Swift and Kotlin.

You work independently on your own code, but you also spend time collaborating with others.

You are involved in all stages of app development and contribute to the roadmap.

You get the freedom to experiment with new Android technology.

Ownership — advocate for projects and solutions that need to be launched ground up.

Experience

Min 2 to 4 years in developing Android applications in Java / Kotlin / C++ /Gradle/Groovy.

Worked on SDKs/Frameworks.

Strong understanding of software design patterns as well as Android specifics.

Experience with authenticated sessions using authentication tokens and have at-least

fundamental knowledge of app security.

Good to have:-

Experience with Cross-platform frameworks is a plus (React Native, Flutter, Cordova,

Xamarin).

Have implemented security standards and guides.

Experience building applications at scale.

Experience with third-party libraries and APIs like Mobile Vision, MLKit and/or

Camera API.

Good understanding of garbage collection, design patterns and continuously

discover, evaluate,and implement new technologies to maximize development efficiency.

Unit-test code for robustness, including edge cases, usability, and general

reliability