Business development executive, Team leader

Skills: Digital: Application Programming Interface (API)~Java Rest web services~ AI Agents~ AI & Gen AI - Products & Tools

Job Description – Gen AI Developer

Exp: 5-8 years

Role Summary

We are looking for a skilled AI Developer to design, develop, and deploy AI-powered applications, intelligent automation solutions, and Generative AI systems. The ideal candidate should have hands-on experience in Python development, Large Language Models (LLMs), Prompt Engineering, AI agent development, workflow automation, and cloud AI services.

Key Responsibilities

AI Application Development

· Design and develop AI-powered business applications.

· Build enterprise AI assistants, copilots, and AI agents.

· Develop AI APIs and intelligent automation workflows.

· Integrate AI capabilities into enterprise applications.

· Create scalable and production-ready AI solutions.

Generative AI Development

· Build applications using Large Language Models (LLMs).

· Develop Prompt Engineering frameworks.

· Implement RAG (Retrieval-Augmented Generation) solutions.

· Integrate OpenAI and Azure OpenAI models.

· Develop conversational AI and intelligent assistants.

Intelligent Automation

· Build workflow automation solutions.

· Develop AI-driven business process automation.

· Create intelligent document processing solutions.

· Integrate AI with enterprise business systems.

· Automate repetitive operational processes.

Conversational AI

· Build AI chatbots and virtual assistants.

· Design conversational workflows.

· Implement multi-channel AI solutions.

· Enable human-in-the-loop AI workflows.

Model Development & Integration

· Develop and deploy machine learning models.

· Fine-tune AI models for business use cases.

· Build inference APIs and AI services.

· Support model lifecycle management.

Mandatory Technical Skills: Programming Languages

Must Have

· Python

· SQL

· REST APIs

· JSON

Technical requirements in current AI architecture documents explicitly highlight strong experience in Python and AI solution development.

Generative AI

Must Have

· OpenAI

· Azure OpenAI

· Prompt Engineering

· LLM Integration

· AI Assistants

· RAG Architecture

Good to Have

· Claude

· Gemini

· Llama Models

· Mistral

AI leadership and AI architecture requirements specifically reference Generative AI, Azure OpenAI, prompt engineering, orchestration, and enterprise AI adoption.

AI Frameworks

Preferred

· LangChain

· Semantic Kernel

· LlamaIndex

· Hugging Face

· AutoGen

· CrewAI

Machine Learning

Must Have

· Scikit-Learn

· TensorFlow

· PyTorch

Concepts

· Model Training

· Model Evaluation

· Model Deployment

· Feature Engineering

NLP & Semantic Search

· Natural Language Processing

· Embeddings

· Vector Search

· Semantic Search

· Text Analytics

· Knowledge Retrieval

Microsoft AI Stack

Must Have

· Microsoft Copilot Studio

· Power Automate

· Azure AI Services

· Azure AI Foundry

The internal AI Architecture JD explicitly calls out Copilot Studio, Power Automate, Azure AI Foundry, and Generative AI technologies as core competencies.

Cloud Platforms

Microsoft Azure

· Azure AI Services

· Azure OpenAI

· Azure AI Foundry

· Azure Functions

· Azure App Services

· Azure Storage

· Azure Machine Learning

AWS (Preferred)

· SageMaker

· Bedrock

· Lambda

· S3

Cloud-native AI platforms including Azure ML and SageMaker are referenced within internal AI/ML architecture requirements.

Automation & Integration

· Power Automate

· Workflow Automation

· API Integration

· Microsoft Graph API

· Intelligent Process Automation

MLOps & DevOps

Preferred

· Git

· Azure DevOps

· CI/CD Pipelines

· Docker

· Kubernetes

· Model Monitoring

· Model Versioning

Current AI architecture standards include MLOps lifecycle management, model deployment, monitoring, and CI/CD integration.

BFSI Domain Experience (Preferred)

Experience in:

· Banking

· Corporate Banking

· Payments

· Risk Management

· Fraud Detection

· Insurance

· Financial Data Analytics

Soft Skills

· Strong analytical mindset

· Innovation-driven approach

· Problem-solving skills

· Excellent communication skills

· Stakeholder management

· Team collaboration

Educational Qualification

· B.E. / B.Tech.

· MCA

· M.Tech.

· Computer Science

· Artificial Intelligence

· Data Science

· Machine Learning

Preferred Certifications

· Microsoft Azure AI Engineer Associate (AI-102)

· Azure Fundamentals (AZ-900)

· Azure OpenAI Certifications

· Machine Learning Certifications

· Generative AI Certifications

Role Overview

We are looking for a hands-on Senior Telephony Engineer who actively writes production-grade code and has deep experience with Asterisk-based systems, Java backend development, and high-scale dialler platforms.

Key Responsibilities

This is NOT an architecture-only role we need someone who can:

• Write code
• Debug real-time call issues
• Build and optimize telephony flows end-to-end
• Key Responsibilities (Hands-on Coding Focus)
• Develop and maintain Asterisk dialplans, AGI scripts, and call flows
• Build Java-based backend services for telephony control and orchestration
• Implement and optimize predictive / preview / progressive diallers
• Integrate telephony stack with:

Kafka

RabbitMQ

• Write scalable code for call routing, retry logic, and queue handling
• Work directly on SIP signalling, RTP flows, and debugging call issues
• Handle real-time call events, CDR processing, and logging pipelines
• Optimize systems for high concurrency (thousands of parallel calls)
• Debug production issues like:

Call drops

Latency

One-way audio

SIP failures

Qualifications & Skills

• Bachelors degree in Computer Engineering; Masters is a plus.
• Telephony (Core Requirement)
• Strong hands-on experience with Asterisk
• Deep knowledge of:

SIP / RTP / VoIP

Dialplans

AGI / AMI

• Experience building or maintaining dialers (very important)
• Backend Development
• Strong coding skills in Java (Spring Boot preferred)
• Experience building microservices / APIs
• Comfortable writing high-performance, low-latency code
• Messaging & Event Systems
• Hands-on experience with:

Apache Kafka

RabbitMQ

• Ability to implement event-driven systems
• Scaling & Performance
• Experience handling high call volumes (1000+ concurrent calls)

Understanding of:

• Multi-threading
• Queue management
• Load handling
• Good to Have
• Experience with predictive dialers
• Exposure to WebRTC / real-time communication
• Experience with Docker / Kubernetes
• Understanding of TRAI / Indian telecom ecosystem
• Experience with FreeSWITCH (bonus)

What We Are NOT Looking For

• Pure solution architects who dont code
• People with only theoretical telecom knowledge
• Candidates without real dialer / Asterisk production experience

What We Are Looking For

Someone who has:

• Written real dialplans and backend code
• Debugged live call issues
• Worked on production telephony systems
• A problem solver who can go deep into logs, packets, and code

Impact of the Role

You will directly contribute to building a high-scale telephony + AI voice platform, working on real-time systems that handle thousands of concurrent calls.

Mandatory Skills - 4 years in Nodejs, JavaScript, Express.js, MongoDB, Data Structures, Algorithms

"Expertise in Node.js Web frameworks like Meteor, Express, and Kraken.JS

Expertise in building highly scalable web services using Node.js, Create REST API with the help of Node middleware

Deep understanding of REST and API design

Experience designing APIs for consistency, simplicity, and extensibility.

Expertise with JavaScript testing frameworks like Jasmine, Quit, Mocha, Sinnon and Chai.

Expertise with building tools like Web pack, gulp, and grunt.

Integration of various application components

Experience in various phases of the Software Development Life Cycle (SDLC) such as requirements

analysis, design, and implementation in an agile environment, etc.

Requirements:

·       Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).

·       Minimum of 4 years of professional Python development experience.

·       Strong expertise in Django framework and its ecosystem.

·       Proficiency in web development technologies such as HTML, CSS, JavaScript, and front-end frameworks.

·       Experience with database systems like PostgreSQL, MySQL, or MongoDB.

·       Knowledge of RESTful API design and integration.

·       Familiarity with version control systems, especially Git.

·       Excellent problem-solving and debugging skills.

·       Strong communication and collaboration skills.

·       Self-motivated and able to work independently or in a team.

·       Experience with React.js and Docker is a plus.

Location:  Pune/Nagpur,Goa,Hyderabad/Bangalore

Job Requirements:

• 9 years and above of total experience preferably in bigdata space.
• Creating spark applications using Scala to process data.
• Experience in scheduling and troubleshooting/debugging Spark jobs in steps.
• Experience in spark job performance tuning and optimizations.
• Should have experience in processing data using Kafka/Pyhton.
• Individual should have experience and understanding in configuring Kafka topics to optimize the performance.
• Should be proficient in writing SQL queries to process data in Data Warehouse.
• Hands on experience in working with Linux commands to troubleshoot/debug issues and creating shell scripts to automate tasks.
• Experience on AWS services like EMR.

Desired Candidate Profile

• Strong knowledge in MongoDB, MySQL administration having 7+ years hands-on experience
• Hands on experience with Redis
• Strong knowledge in physical database design concepts
• Strong knowledge in High Availability configuration on databases with Master-Slave and Master-Master replication
• Experience with performance optimization (server/ query tuning)
• Good Scripting knowledge in shell scripts
• Must have good knowledge of Performance tuning of MYSQL databases
• Must have good knowledge of database up-gradation
• Understanding of Backup & Recovery
• Ability to multi-task and context-switch effectively between different activities and teams
• Capability to provide 24x7 support for critical production systems
• Excellent written and verbal communication
• Ability to organize and plan work independently
• Ability to work in a rapidly changing environment    

Cloud Platform Developer:

• 8 to 12 years of platform development experience with good knowledge on any virtualized platform (VMware ESXi, Linux KVM, Openstack, AWS, etc)
• Candidate must understand how to instantiate/provision/package VMs on cloud platforms – OVF/OVA, qcow2, etc.
• Strong in Shell and Python scripting; Knowledge of Apache Maven is plus.
• Knowledge of Ansible or Terraform will be useful
• Knowledge of Rift.io / Open source MANO / Restful APIs will be plus
• Good knowledge of Linux OS fundamentals – IPCs (sockets, shared memory, etc), multi-threading, Semaphores, IP routing, etc.
• Experience of working in an agile software development environment is critical
• Exposure to multiple aspect of product lifecycle process including requirement gathering, functional specification, design, development, testing, and maintenance.