AI Backend Lead

at Techjays

AI Backend Lead

Techjays

Company

Home

AI Backend Lead

at Techjays

Posted by SREEHARIVASU S

6 - 11 yrs

Best in industry

Remote only

Skills

Python, Design Patterns, Algorithms & Data Structu

Retrieval Augmented Generation (RAG)

Looking for a Python Lead with 5 to 8 years of experience who can design, architect, and build secure, scalable, production-grade backend systems. The candidate should have expert-level proficiency in Python with strong hands-on experience in Django or Flask, RESTful API design, and Websockets. Must have a solid foundation in design patterns, algorithms, and data structures, along with advanced database skills across PostgreSQL, MySQL, and MongoDB. Should be well-versed in caching systems like Redis, queuing systems like RabbitMQ or Kafka, and container-based deployments using Docker. Proficient in cloud platforms — specifically AWS (EC2, S3, Lambda) and GCP (Compute Engine, Cloud Storage, Cloud Functions) — with experience setting up and managing CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions. Strong command of Git, Linux, and version control workflows is expected. Preferred candidates will have working knowledge of AI/ML concepts, hands-on experience with RAG pipelines, LLM integrations, and Vector Databases such as Pinecone or ChromaDB. The ideal candidate has a builder mindset, takes ownership from idea to production, writes clean and well-tested code, and is comfortable mentoring junior developers in a fast-paced startup environment. Must be based in India — open to working from Coimbatore or fully remote. Immediate or 30-day joiners preferred.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

Companies hiring on Cutshort

About Techjays

Founded :

2020

Type :

Services

Size :

100-1000

Stage :

Profitable

About

The company offers end-to-end software solutions by combining business domain experience, technical expertise, industry knowledge, and quality-driven delivery model. It guides clients through the full cycle of digital product development, from conceptualization to deployment. The company has a strong history of providing software solutions to various industries, including healthcare, finance, retail, and manufacturing. Its use-cases include developing custom software applications, mobile applications, and web applications. The company's solutions help clients solve their business problems by providing them with innovative and efficient software solutions. The company operates in various industries, including healthcare, finance, retail, and manufacturing. It provides software solutions to clients in these industries to help them improve their business processes, increase efficiency, and reduce costs. The company's solutions are tailored to meet the specific needs of each client, ensuring that they receive the best possible software solution.

Company social profiles

N/A

Similar jobs

Backend Engineer - Python/GenAI

Service based company

Agency job

via Codemind Staffing Solutions by Krishna kumar

Chennai

4 - 7 yrs

₹15L - ₹25L / yr

Python

Generative AI

Flask

Django

FastAPI

+4 more

Job Title: Python Backend / GenAI Engineer (4+ Years)

Job Summary

Looking for a Python Backend Engineer with experience in Generative AI, LangGraph workflows, data engineering, and AI evaluation using Arize AI.

Responsibilities

* Develop backend APIs using Python (FastAPI / Flask / Django)

* Build Generative AI and RAG-based applications

* Design LangGraph / agent workflows

* Create data engineering pipelines (ETL, data processing)

* Implement LLM monitoring and evaluation using Arize AI

* Integrate vector databases and AI services

* Maintain scalable and production-ready backend systems

Required Skills

* 4+ years of Python backend development

* Experience in Generative AI / LLM applications

* Knowledge of LangGraph / LangChain

* Experience in data engineering pipelines

* Familiarity with Arize AI or model evaluation tools

* Understanding of REST APIs, databases, Docker

Good to Have

* Cloud platforms (Azure / AWS )

* Vector databases (FAISS, Pinecone, Azure AI Search)

Job Title: Python Backend / GenAI Engineer (4+ Years)

Job Summary

Looking for a Python Backend Engineer with experience in Generative AI, LangGraph workflows, data engineering, and AI evaluation using Arize AI.

Responsibilities

* Develop backend APIs using Python (FastAPI / Flask / Django)

* Build Generative AI and RAG-based applications

* Design LangGraph / agent workflows

* Create data engineering pipelines (ETL, data processing)

* Implement LLM monitoring and evaluation using Arize AI

* Integrate vector databases and AI services

* Maintain scalable and production-ready backend systems

Required Skills

* 4+ years of Python backend development

* Experience in Generative AI / LLM applications

* Knowledge of LangGraph / LangChain

* Experience in data engineering pipelines

* Familiarity with Arize AI or model evaluation tools

* Understanding of REST APIs, databases, Docker

Good to Have

* Cloud platforms (Azure / AWS )

* Vector databases (FAISS, Pinecone, Azure AI Search)

Python Developer

at Tops Infosolutions

Posted by Zurin Momin

Ahmedabad

2 - 4 yrs

₹7L - ₹11L / yr

Python

Django

Artificial Intelligence (AI)

Retrieval Augmented Generation (RAG)

AWS Lambda

+1 more

Job Description: Python Developer

Experience: 2+ Years

Job Location: Nr. Iskcon Mega Mall, SG Highway, Ahmedabad

Timings: 10 AM to 7 PM

Job Description:

Technical Skills :

Good knowledge of Python with 2+ years of minimum experience
Strong understanding of various Python Libraries, APIs, and toolkits.
Good experience in Django, Django REST Framework, and Flask framework.
Understanding of AWS Serverless implementation using Lambda and API Gateway
Hands-on Experience in Databases like Mysql, PostgreSQL.
Good experience/understanding in Agentic AI / RAG.
Proficient in NoSQL document databases especially MongoDB, Redis.
Stronghold in Data Structures and Algorithm
Thorough understanding of version control system concepts especially GIT.
Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and how they impact the performance of your application.
Excellent understanding of MVC and OOP. Bonus for the understanding of prevalent design patterns.
Excellent debugging and optimization skills

Job Responsibilities :

Building big, robust, scalable, and maintainable applications.
Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Handling complex technical issues related to web app development & discussing solutions with the team.
Developing, Deploying, and maintaining Multistage, Multi-tier applications.
To write high-performing code and will be participating in key architectural decisions.
Project Execution & Client Interaction
Scrum Implementation

Job Description: Python Developer

Experience: 2+ Years

Job Location: Nr. Iskcon Mega Mall, SG Highway, Ahmedabad

Timings: 10 AM to 7 PM

Job Description:

Technical Skills :

Good knowledge of Python with 2+ years of minimum experience
Strong understanding of various Python Libraries, APIs, and toolkits.
Good experience in Django, Django REST Framework, and Flask framework.
Understanding of AWS Serverless implementation using Lambda and API Gateway
Hands-on Experience in Databases like Mysql, PostgreSQL.
Good experience/understanding in Agentic AI / RAG.
Proficient in NoSQL document databases especially MongoDB, Redis.
Stronghold in Data Structures and Algorithm
Thorough understanding of version control system concepts especially GIT.
Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and how they impact the performance of your application.
Excellent understanding of MVC and OOP. Bonus for the understanding of prevalent design patterns.
Excellent debugging and optimization skills

Job Responsibilities :

Building big, robust, scalable, and maintainable applications.
Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Handling complex technical issues related to web app development & discussing solutions with the team.
Developing, Deploying, and maintaining Multistage, Multi-tier applications.
To write high-performing code and will be participating in key architectural decisions.
Project Execution & Client Interaction
Scrum Implementation

Python AI/ML Developer

at Arcitech

Posted by Arcitech HR Department

Navi Mumbai

2 - 5 yrs

₹5L - ₹12L / yr

Large Language Models (LLM)

Retrieval Augmented Generation (RAG)

PyTorch

Keras

pytest

+4 more

Python Developer - AI/MLYour Responsibilities

Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
Utilize Hugging Face Transformers for model fine-tuning and deployment.
Integrate embedding models for semantic search and retrieval systems.
Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
Implement real-time communication with FastAPI WebSockets.
Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
Version ML experiments using MLflow, Weights & Biases, or Neptune.
Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
Implement model monitoring, drift detection, and automated retraining pipelines.
Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
Participate in code reviews, tech talks, and AI learning sessions.
Follow Agile/Scrum methodologies and Git best practices.

Required Qualifications

Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
Deep learning experience with PyTorch or TensorFlow.
Experience with Hugging Face Transformers and model fine-tuning.
Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
Strong experience with FastAPI frameworks.
Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
Hands-on with Docker, Kubernetes basics, and AWS cloud services.
Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
Understanding of security principles for AI systems.
Excellent communication and analytical thinking.

Nice to Have

Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
Experience with model serving frameworks and distributed training.
Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
Knowledge of quantization and model compression techniques.
Experience with infrastructure as code (Terraform, CloudFormation).
Familiarity with data versioning tools (DVC) and AutoML.
Experience with Streamlit or Gradio for ML demos.
Background in statistics, optimization, or applied mathematics.
Contributions to AI/ML or LangChain/LangGraph open-source projects.

Python Developer - AI/MLYour Responsibilities

Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
Utilize Hugging Face Transformers for model fine-tuning and deployment.
Integrate embedding models for semantic search and retrieval systems.
Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
Implement real-time communication with FastAPI WebSockets.
Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
Version ML experiments using MLflow, Weights & Biases, or Neptune.
Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
Implement model monitoring, drift detection, and automated retraining pipelines.
Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
Participate in code reviews, tech talks, and AI learning sessions.
Follow Agile/Scrum methodologies and Git best practices.

Required Qualifications

Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
Deep learning experience with PyTorch or TensorFlow.
Experience with Hugging Face Transformers and model fine-tuning.
Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
Strong experience with FastAPI frameworks.
Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
Hands-on with Docker, Kubernetes basics, and AWS cloud services.
Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
Understanding of security principles for AI systems.
Excellent communication and analytical thinking.

Nice to Have

Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
Experience with model serving frameworks and distributed training.
Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
Knowledge of quantization and model compression techniques.
Experience with infrastructure as code (Terraform, CloudFormation).
Familiarity with data versioning tools (DVC) and AutoML.
Experience with Streamlit or Gradio for ML demos.
Background in statistics, optimization, or applied mathematics.
Contributions to AI/ML or LangChain/LangGraph open-source projects.

Python Developer

at Arcitech

Posted by Arcitech HR Department

Navi Mumbai

2 - 5 yrs

₹4L - ₹12L / yr

AIML

Langchain

Retrieval Augmented Generation (RAG)

Machine Learning (ML)

Websockets

+5 more

Designation: Python Developer

Experienced in AI/ML

Location: Turbhe, Navi Mumbai

CTC: 6-12 LPA

Years of Experience: 2-5 years

At Arcitech.ai, we’re redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and beyond. We’re looking for a Python Developer passionate about AI/ML, who’s ready to work on scalable, cloud-native platforms and help build the next generation of intelligent, LLM-driven products.

💼 Your Responsibilities

AI/ML Engineering

Develop, train, and optimize ML models using PyTorch/TensorFlow/Keras.
Build end-to-end LLM and RAG (Retrieval-Augmented Generation) pipelines using LangChain.
Collaborate with data scientists to convert prototypes into production-grade AI applications.
Integrate NLP, Computer Vision, and Recommendation Systems into scalable products.
Work with transformer-based architectures (BERT, GPT, LLaMA, etc.) for real-world AI use cases.

Backend & Systems Development

Design, develop, and maintain robust Python microservices with REST/GraphQL APIs.
Implement real-time communication with Django Channels/WebSockets.
Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
Configure and manage AWS (EC2, S3, RDS, SageMaker, CloudWatch) for AI/ML workloads.

Reliability & Automation

Develop background task queues with Celery, ensuring smart retries and monitoring.
Implement CI/CD pipelines for automated model training, testing, and deployment.
Write automated unit & integration tests (pytest/unittest) with ≥80% coverage.

Collaboration

Contribute to MLOps best practices and mentor peers in LangChain/AI integration.
Participate in tech talks, code reviews, and AI learning sessions within the team.

🎓 Required Qualifications

Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
2–5 years of experience in Python development with strong AI/ML exposure.
Hands-on experience with LangChain for building LLM-powered workflows and RAG systems.
Deep learning experience with PyTorch or TensorFlow.
Experience deploying ML models and LLM apps into production systems.
Familiarity with REST/GraphQL APIs and cloud platforms (AWS/Azure/GCP).
Skilled in Git workflows, automated testing, and CI/CD practices.

🌟 Nice to Have

Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
Knowledge of LLM fine-tuning, prompt engineering, and evaluation frameworks.
Familiarity with Airflow/Prefect/Dagster for data and model pipelines.
Background in statistics, optimization, or applied mathematics.
Contributions to AI/ML or LangChain open-source projects.
Experience with model monitoring and drift detection in production.

🎁 Why Join Us

Competitive compensation and benefits 💰
Work on cutting-edge LLM and AI/ML applications 🤖
A collaborative, innovation-driven work culture 📚
Opportunities to grow into AI/ML leadership roles 🚀

Designation: Python Developer

Experienced in AI/ML

Location: Turbhe, Navi Mumbai

CTC: 6-12 LPA

Years of Experience: 2-5 years

💼 Your Responsibilities

AI/ML Engineering

Develop, train, and optimize ML models using PyTorch/TensorFlow/Keras.
Build end-to-end LLM and RAG (Retrieval-Augmented Generation) pipelines using LangChain.
Collaborate with data scientists to convert prototypes into production-grade AI applications.
Integrate NLP, Computer Vision, and Recommendation Systems into scalable products.
Work with transformer-based architectures (BERT, GPT, LLaMA, etc.) for real-world AI use cases.

Backend & Systems Development

Design, develop, and maintain robust Python microservices with REST/GraphQL APIs.
Implement real-time communication with Django Channels/WebSockets.
Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
Configure and manage AWS (EC2, S3, RDS, SageMaker, CloudWatch) for AI/ML workloads.

Reliability & Automation

Develop background task queues with Celery, ensuring smart retries and monitoring.
Implement CI/CD pipelines for automated model training, testing, and deployment.
Write automated unit & integration tests (pytest/unittest) with ≥80% coverage.

Collaboration

Contribute to MLOps best practices and mentor peers in LangChain/AI integration.
Participate in tech talks, code reviews, and AI learning sessions within the team.

🎓 Required Qualifications

Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
2–5 years of experience in Python development with strong AI/ML exposure.
Hands-on experience with LangChain for building LLM-powered workflows and RAG systems.
Deep learning experience with PyTorch or TensorFlow.
Experience deploying ML models and LLM apps into production systems.
Familiarity with REST/GraphQL APIs and cloud platforms (AWS/Azure/GCP).
Skilled in Git workflows, automated testing, and CI/CD practices.

🌟 Nice to Have

Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
Knowledge of LLM fine-tuning, prompt engineering, and evaluation frameworks.
Familiarity with Airflow/Prefect/Dagster for data and model pipelines.
Background in statistics, optimization, or applied mathematics.
Contributions to AI/ML or LangChain open-source projects.
Experience with model monitoring and drift detection in production.

🎁 Why Join Us

Competitive compensation and benefits 💰
Work on cutting-edge LLM and AI/ML applications 🤖
A collaborative, innovation-driven work culture 📚
Opportunities to grow into AI/ML leadership roles 🚀

Senior Backend Developer - Node.js (AI-Assisted Development)

at Fountane inc

Posted by HR Fountane

Remote only

4 - 6 yrs

₹20L - ₹30L / yr

NodeJS (Node.js)

API

Microservices Architecture

Express.js

GitHub

+8 more

Role Overview

We are looking for a Senior Backend Developer with strong Node.js expertise who is comfortable working in an AI-assisted development environment. The ideal candidate should be proficient in leveraging modern AI developer tools to accelerate development, improve code quality, and help modernize legacy systems.

This role involves working on backend systems, microservices architecture, and AI-powered development workflows, including refactoring legacy applications into modern Node.js services.

Key Responsibilities

Design, build, and maintain scalable backend services using Node.js.
Leverage AI-powered developer tools such as GitHub Copilot, Cursor, or Amazon Q to improve development efficiency.
Refactor and modernize legacy .NET applications into Node.js-based microservices using AI-assisted workflows.
Design and optimize database schemas and complex SQL queries for performance and scalability.
Work with PostgreSQL and Redis for high-performance data storage and caching.
Build and integrate AI-based features and services into backend applications.
Automate development workflows through custom CLI tools or IDE extensions.
Collaborate with cross-functional teams to deliver high-quality backend solutions.

Required Skills & Experience

5+ years of backend development experience
Strong expertise in Node.js backend development
Hands-on experience with AI-assisted development tools (GitHub Copilot, Cursor, Amazon Q, or similar)
Experience working with PostgreSQL and Redis
Strong understanding of microservices architecture and API design
Experience with AI engineering (building or integrating AI-powered features)
Strong problem-solving and debugging skills

Good to Have

Prior experience with .NET / C#
Experience modernizing legacy systems
Experience building developer productivity tools (CLI tools, IDE extensions, automation)
Experience optimizing complex SQL queries and database migrations

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is one part a Digital Product Studio that specializes in building superior product experiences, and one part Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi million valuation companies in the US, and a handful of sister ventures for large corporations including Target, US Ventures, Imprint Engine.

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

Role Overview

This role involves working on backend systems, microservices architecture, and AI-powered development workflows, including refactoring legacy applications into modern Node.js services.

Key Responsibilities

Design, build, and maintain scalable backend services using Node.js.
Leverage AI-powered developer tools such as GitHub Copilot, Cursor, or Amazon Q to improve development efficiency.
Refactor and modernize legacy .NET applications into Node.js-based microservices using AI-assisted workflows.
Design and optimize database schemas and complex SQL queries for performance and scalability.
Work with PostgreSQL and Redis for high-performance data storage and caching.
Build and integrate AI-based features and services into backend applications.
Automate development workflows through custom CLI tools or IDE extensions.
Collaborate with cross-functional teams to deliver high-quality backend solutions.

Required Skills & Experience

5+ years of backend development experience
Strong expertise in Node.js backend development
Hands-on experience with AI-assisted development tools (GitHub Copilot, Cursor, Amazon Q, or similar)
Experience working with PostgreSQL and Redis
Strong understanding of microservices architecture and API design
Experience with AI engineering (building or integrating AI-powered features)
Strong problem-solving and debugging skills

Good to Have

Prior experience with .NET / C#
Experience modernizing legacy systems
Experience building developer productivity tools (CLI tools, IDE extensions, automation)
Experience optimizing complex SQL queries and database migrations

A LITTLE BIT ABOUT THE COMPANY:

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

AI/ML Engineer – Voice (2–3 Years)

at Impacto Digifin Technologies

4 candid answers

1 recruiter

Posted by Navitha Reddy

Bengaluru (Bangalore)

2 - 3 yrs

₹6L - ₹8L / yr

Machine Learning (ML)

Deep Learning

Natural Language Processing (NLP)

Voice Over IP (VoIP)

Artificial Intelligence (AI)

+4 more

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
Train and fine-tune neural networks for text, speech, and multimodal tasks.
Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
Work with LLM architectures for text + voice workflows
Build GenAI-based workflows and integrate models into production systems.
Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
Build robust APIs and services for voice and ML-based functionalities.
Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

Follow fundamental best practices for AI security, access control, and safe data handling.
Awareness of financial compliance standards (plus, not mandatory).
Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

Machine Learning fundamentals
Deep Learning architectures
NLP pipelines and transformers
LLM usage and integration
GenAI development
Voice AI (STT, TTS, VAD, real-time pipelines)
Audio processing fundamentals
Model building, tuning, and retraining
RAG systems
AI Agents (orchestration, multi-step reasoning)

Voice Engineering

End-to-end voice application development
Voice calling & telephony integration (framework-agnostic)
Realtime STT ↔ LLM ↔ TTS interactive flows
Voice chat system development
Voice-to-AI model integration for automation

Fintech/Banking Awareness

High-level understanding of fintech and banking AI use cases
Data patterns in core banking analytics (advantageous)

Programming & Engineering

Python (strong competency)
Cloud deployment understanding (AWS/Azure/GCP)
API development
Data processing & pipeline creation

Secondary Skills (Good to Have)

MLOps & CI/CD for ML systems
Vector databases
Prompt engineering
Model monitoring & evaluation frameworks
Microservices experience
Basic UI integration understanding for voice/chat
Research reading & benchmarking ability

Qualifications

2–3 years of practical experience in AI/ML/DL engineering.
Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
Proven hands-on experience building ML/DL/voice pipelines.
Experience in fintech or data-intensive domains preferred.

Soft Skills

Clear communication and requirement understanding
Curiosity and research mindset
Self-driven problem solving
Ability to collaborate cross-functionally
Strong ownership and delivery discipline
Ability to explain complex AI concepts simply

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
Train and fine-tune neural networks for text, speech, and multimodal tasks.
Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
Work with LLM architectures for text + voice workflows
Build GenAI-based workflows and integrate models into production systems.
Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
Build robust APIs and services for voice and ML-based functionalities.
Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

Follow fundamental best practices for AI security, access control, and safe data handling.
Awareness of financial compliance standards (plus, not mandatory).
Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

Machine Learning fundamentals
Deep Learning architectures
NLP pipelines and transformers
LLM usage and integration
GenAI development
Voice AI (STT, TTS, VAD, real-time pipelines)
Audio processing fundamentals
Model building, tuning, and retraining
RAG systems
AI Agents (orchestration, multi-step reasoning)

Voice Engineering

End-to-end voice application development
Voice calling & telephony integration (framework-agnostic)
Realtime STT ↔ LLM ↔ TTS interactive flows
Voice chat system development
Voice-to-AI model integration for automation

Fintech/Banking Awareness

High-level understanding of fintech and banking AI use cases
Data patterns in core banking analytics (advantageous)

Programming & Engineering

Python (strong competency)
Cloud deployment understanding (AWS/Azure/GCP)
API development
Data processing & pipeline creation

Secondary Skills (Good to Have)

MLOps & CI/CD for ML systems
Vector databases
Prompt engineering
Model monitoring & evaluation frameworks
Microservices experience
Basic UI integration understanding for voice/chat
Research reading & benchmarking ability

Qualifications

2–3 years of practical experience in AI/ML/DL engineering.
Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
Proven hands-on experience building ML/DL/voice pipelines.
Experience in fintech or data-intensive domains preferred.

Soft Skills

Clear communication and requirement understanding
Curiosity and research mindset
Self-driven problem solving
Ability to collaborate cross-functionally
Strong ownership and delivery discipline
Ability to explain complex AI concepts simply

AI/ML Engineer - Intern

at CAW.Tech

5 recruiters

Posted by Stuti Jain

Hyderabad

0 - 1 yrs

Best in industry

Artificial Intelligence (AI)

Machine Learning (ML)

Deep Learning

Python

Large Language Models (LLM) tuning

+10 more

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

What You’ll Do

-Build autonomous AI agents using LangChain, LangGraph, and similar frameworks.

- Develop RAG pipelines with vector DBs like FAISS, Pinecone, or ChromaDB.

- Create FastAPI endpoints to expose agent functionality.

- Implement Model Context Protocol (MCP) for tool-agent integrations.

- Optimize prompts, workflows, and retrieval strategies for real performance.

- Contribute to new agentic AI design patterns and innovations.

Who Should Apply

We’re looking for freshers who are:

-Strong in Python and love experimenting with AI/ML projects.

- Familiar with one or more of these: LangChain/LangGraph, HuggingFace, PyTorch/TensorFlow, RAG pipelines.

- Active on GitHub with 2–3 well-documented projects (clean code + clear README).

- Curious, hands-on builders who want to learn by doing.

Bonus Points if you’ve dabbled with:

- LLM fine-tuning (LoRA, QLoRA), memory systems. AutoGen, CrewAI, MCP, or other agent frameworks.

- Docker, async programming, API integrations.

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

You have done projects using GenAI, Machine Learning, Deep Learning.
You must have strong Python coding experience.
Someone who is available immediately to start with us in the office(Hyderabad).
Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

What You’ll Do

-Build autonomous AI agents using LangChain, LangGraph, and similar frameworks.

- Develop RAG pipelines with vector DBs like FAISS, Pinecone, or ChromaDB.

- Create FastAPI endpoints to expose agent functionality.

- Implement Model Context Protocol (MCP) for tool-agent integrations.

- Optimize prompts, workflows, and retrieval strategies for real performance.

- Contribute to new agentic AI design patterns and innovations.

Who Should Apply

We’re looking for freshers who are:

-Strong in Python and love experimenting with AI/ML projects.

- Familiar with one or more of these: LangChain/LangGraph, HuggingFace, PyTorch/TensorFlow, RAG pipelines.

- Active on GitHub with 2–3 well-documented projects (clean code + clear README).

- Curious, hands-on builders who want to learn by doing.

Bonus Points if you’ve dabbled with:

- LLM fine-tuning (LoRA, QLoRA), memory systems. AutoGen, CrewAI, MCP, or other agent frameworks.

- Docker, async programming, API integrations.

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

You have done projects using GenAI, Machine Learning, Deep Learning.
You must have strong Python coding experience.
Someone who is available immediately to start with us in the office(Hyderabad).
Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

AI ML Developer

EdTech Industry

Agency job

via Hunarstreet Technologies Pvt Ltd by Simran Dudani

Remote only

6 - 10 yrs

₹20L - ₹30L / yr

Artificial Intelligence (AI)

Machine Learning (ML)

API

Neo4J

OpenCV

+18 more

We're Hiring: Senior Developer (AI & Machine Learning)** 🚀

🔧 **Tech Stack**: Python, Neo4j, FAISS, LangChain, React.js, AWS/GCP/Azure

🧠 **Role**: AI/ML development, backend architecture, cloud deployment

🌍 **Location**: Remote (India)

💼 **Experience**: 5-10 years

If you're passionate about making an impact in EdTech and want to help shape the future of learning with AI, we want to hear from you!

We're Hiring: Senior Developer (AI & Machine Learning)** 🚀

🔧 **Tech Stack**: Python, Neo4j, FAISS, LangChain, React.js, AWS/GCP/Azure

🧠 **Role**: AI/ML development, backend architecture, cloud deployment

🌍 **Location**: Remote (India)

💼 **Experience**: 5-10 years

If you're passionate about making an impact in EdTech and want to help shape the future of learning with AI, we want to hear from you!

AI engineer Intern

at Synorus

Posted by Synorus Admin

Remote only

0 - 1 yrs

₹0.2L - ₹1L / yr

Google colab

Retrieval Augmented Generation (RAG)

Large Language Models (LLM) tuning

Python

PyTorch

+3 more

About Synorus

Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.