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Bargad.ai
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Mumbai · On-site · 1-3 Yrs · Sep 29
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Bargad.ai is an advanced AI and Machine Learning (ML) based solution designed to detect and prevent identity fraud. It is a smart and flexible platform built for industries including Banking & Financial Services (BFSI), Social Media, Gaming, and E-Commerce.
Responsibilities
- Develop applications based on business and product requirements.
- Build AI/ML-enabled applications and solutions.
- Develop and customize RAG-based chatbots and LLM applications.
- Build chatbot features such as login, chat, document upload and knowledge base management.
- Work with PDF, TXT, Excel and other documents for AI knowledge bases.
- Develop and manage RAG pipelines, embeddings and vector databases.
- Integrate LLMs, AI models, APIs and third-party services.
- Develop backend APIs required for AI and other applications.
- Deploy applications on Bargad's servers.
- Deploy applications and AI solutions in client environments.
- Manage Linux-based servers and application environments.
- Manage Docker containers and application services.
- Work with other developers to deploy their applications on Bargad servers.
- Manage application releases, updates and production deployments.
- Support client technical deployments and resolve deployment-related issues.
- Participate in client technical discussions related to application architecture, AI/ML, deployment and technology.
- Maintain technical documentation for applications, AI solutions and deployments.
Qualifications
- Time: 10:00 am to 7:00 pm (Mon - Sat)
- Company name: Bargad.ai
- Strong knowledge of Python.
- Good understanding of AI/ML and Generative AI.
- Hands-on experience with LLMs and RAG-based applications.
- Knowledge of embeddings and vector databases.
- Good knowledge of Linux and server management.
- Hands-on experience with Docker and application deployment.
- Good understanding of networking, DNS, SSL and HTTP/HTTPS.
- Knowledge of PostgreSQL or other databases.
- Good debugging and troubleshooting skills.
- Ability to independently take an application from development to deployment.
- Good communication and teamwork skills.
- Ability to work in a fast-paced startup environment.
- Good to know:
- Candidates based in Mumbai are preferred/eligible to apply.
- Compensation: 40,000.00 - 50,000.00 per month
Benefits
- Paid sick time
- Application Question(s):
- Where are you from (Mention your nearest railway station)
- What Qualification you have. Explain us in detail
- Work Location: In person .
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Job application FAQ
Last updated 22 October 2026
- How do I apply for AI/ML & DevOps Engineer at Bargad.ai?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Bargad.ai may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI/ML & DevOps Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI/ML & DevOps Engineer remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this AI/ML & DevOps Engineer role at Bargad.ai?
- This is a mid-level AI/ML & DevOps Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.