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3 Job openings at MNR Technologies Global Pvt Ltd
Full Stack Developer (2-3 Years)

Hyderabad, Telangana, India

3 years

None Not disclosed

Remote

Full Time

***** 𝗣𝗟𝗘𝗔𝗦𝗘 𝗡𝗢𝗧𝗘 𝗧𝗛𝗔𝗧 𝗧𝗛𝗜𝗦 𝗜𝗦 𝗙𝗢𝗥 𝟭-𝟯 𝗬𝗘𝗔𝗥𝗦 𝗘𝗫𝗣𝗘𝗥𝗜𝗘𝗡𝗖𝗘𝗗 𝗣𝗥𝗢𝗙𝗘𝗦𝗦𝗜𝗢𝗡𝗔𝗟𝗦 𝗢𝗡𝗟𝗬 ***** Job Title: Full Stack Developer Location: Hyderabad (Remote – Work from Home) Experience: 2–3 years Employment Type: Full-time Job Summary: We are looking for a skilled Full Stack Developer with 2–3 years of experience to work on building and enhancing a SaaS-based platform with features inspired by the RunPod model . The ideal candidate should have a strong background in backend and frontend development, user and resource management, cloud provisioning, and security compliance. You’ll be part of a team that is overhauling the portals to meet modern data privacy and performance standards. About MNR Technologies At MNR Technologies , we’re on a mission to build cutting-edge autonomous systems and intelligent applications that solve real-world problems. Our product teams work at the intersection of machine learning, NLP, and agentic AI, using advanced technologies like LangChain, LangGraph, and CrewAI to design intelligent workflows. Key Responsibilities: Develop and maintain a robust SaaS-based platform , ensuring scalability, modularity, and security. Overhaul and modernize the portals , aligning it with global data privacy and compliance standards . Implement and manage User Management (Groups, Users, Service Accounts, MFA). Design and enforce Roles and Access Policies across the application. Integrate and support existing Single Sign-On (SSO) and Payment Gateway solutions. Build features for Pay-as-you-go billing , prepaid billing , and automated invoicing . Develop customer support features such as live chat , ticketing system , and admin visibility. Enable hardware-to-software provisioning , including console access and hardware resource visibility . Implement secure access via SSH , session management, and encrypted data transfer. Support container-based deployments , dynamic resource allocation, and on-the-go scaling . Implement rule-based , active/passive , and dedicated resource pooling mechanisms. Manage multi-level deployments , cluster creation/modification, provisioning, and de-provisioning. Collaborate with design, DevOps, and product teams for seamless end-to-end delivery. Technical Skills Required: Frontend: React.js / Angular / Vue.js (React preferred), HTML5, CSS3, Tailwind/Bootstrap Backend: Node.js / Python / GoLang (Node.js preferred), RESTful APIs, WebSockets Databases: PostgreSQL, MongoDB, MySQL (any combination) Containerization & Orchestration: Docker, Kubernetes DevOps Tools: CI/CD pipelines, GitHub Actions, Jenkins (plus) Security: MFA, SSO, OAuth2, Role-Based Access Control Infrastructure: Cloud platforms (AWS, GCP, or Azure), SSH, provisioning tools (Terraform, Ansible is a plus) Payment Integration: Razorpay/Stripe or any equivalent Monitoring & Logs: ELK, Prometheus, Grafana (preferred) Desired Candidate Profile: 2–3 years of hands-on full stack development experience. Prior experience with SaaS product development and infrastructure-heavy platforms . Strong understanding of cloud resource provisioning , containerized environments, and secure access protocols. Comfortable working remotely with minimal supervision. Excellent problem-solving, debugging, and optimization skills. Strong communication and documentation skills. Equal Opportunity Provider: MNR Technologies Global Pvt Ltd is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace. We do not discriminate on the basis of race, religion, color, gender, sexual orientation, age, disability, or any other characteristic protected under applicable laws. Employment decisions are based solely on merit, qualifications, and business needs. We believe in innovation, learning, and giving young minds the platform to build, grow, and lead. Join MNR Technologies and help us shape the future of AI.

AI Engineer (1-2 years)

Hyderabad, Telangana, India

2 years

None Not disclosed

Remote

Full Time

Role: AI/ML Engineer Experience: 1–2 years Location: Preferably Hyderabad Mode: Remote About MNR Technologies Global Pvt Ltd At MNR Technologies , we’re on a mission to build cutting-edge autonomous systems and intelligent applications that solve real-world problems. Our teams operate at the intersection of Machine Learning, NLP, and Agentic AI , leveraging frameworks like LangChain, LangGraph , and CrewAI to develop scalable, intelligent workflows. We are looking for early-career AI/ML Engineers (1–2 years of experience) who are eager to work on LLMs, RAG pipelines , and scalable backend systems . This is an opportunity to join a highly collaborative, fast-paced environment where you’ll contribute directly to real-world AI products from day one. What You’ll Do Build modular, agent-driven AI systems using LangChain , LangGraph , and CrewAI Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone , or Weaviate Fine-tune LLMs using HuggingFace Transformers for tasks like document summarization, extraction, and classification Design scalable and performant APIs using FastAPI (RESTful + async endpoints) Perform EDA , feature engineering, and implement core ML algorithms Collaborate with product and engineering teams to deliver production-grade solutions Work on both real-time and batch AI systems , ensuring reliability and scalability Required Skills 1–2 years of hands-on experience in AI/ML engineering or related role Working knowledge or experience with LangChain, LangGraph, or CrewAI Proficiency in Python and FastAPI for backend development Familiarity with vector databases (e.g., FAISS, Pinecone, Chroma) and RAG architectures Experience with LLM fine-tuning using HuggingFace or similar frameworks Good understanding of NLP tasks like NER, summarization, classification, and sentiment analysis Solid foundation in EDA , supervised/unsupervised learning, and core ML algorithms Comfortable working with APIs and integrating third-party service Bonus (Preferred) Exposure to Redis , Celery , or similar distributed task systems Understanding of async architecture , background jobs , or microservices Who Should Apply Candidates with 1–2 years of industry or startup experience in AI/ML or backend development Individuals with strong self-learning skills and a passion for building real-world AI products Engineers who enjoy blending ML, NLP, and backend engineering into unified intelligent systems Equal Opportunity Provider MNR Technologies Global Pvt Ltd is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace. We do not discriminate on the basis of race, religion, color, gender, sexual orientation, age, disability, or any other characteristic protected under applicable laws. Employment decisions are based solely on merit, qualifications, and business needs. At MNR, we believe in innovation, continuous learning, and giving young minds the space to build, grow, and lead. Join us and help shape the future of AI.

AI/ML Engineer (1-2 years)

Hyderabad, Telangana, India

2 years

None Not disclosed

Remote

Full Time

Role: AI/ML Engineer Experience: 1–2 years Location: Preferably Hyderabad Mode: Remote About MNR Technologies Global Pvt Ltd At MNR Technologies , we’re on a mission to build cutting-edge autonomous systems and intelligent applications that solve real-world problems. Our teams operate at the intersection of Machine Learning, NLP, and Agentic AI , leveraging frameworks like LangChain, LangGraph , and CrewAI to develop scalable, intelligent workflows. We are looking for early-career AI/ML Engineers (1–2 years of experience) who are eager to work on LLMs, RAG pipelines , and scalable backend systems . This is an opportunity to join a highly collaborative, fast-paced environment where you’ll contribute directly to real-world AI products from day one. What You’ll Do Build modular, agent-driven AI systems using LangChain , LangGraph , and CrewAI Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone , or Weaviate Fine-tune LLMs using HuggingFace Transformers for tasks like document summarization, extraction, and classification Design scalable and performant APIs using FastAPI (RESTful + async endpoints) Perform EDA , feature engineering, and implement core ML algorithms Collaborate with product and engineering teams to deliver production-grade solutions Work on both real-time and batch AI systems , ensuring reliability and scalability Required Skills 1–2 years of hands-on experience in AI/ML engineering or related role Working knowledge or experience with LangChain, LangGraph, or CrewAI Proficiency in Python and FastAPI for backend development Familiarity with vector databases (e.g., FAISS, Pinecone, Chroma) and RAG architectures Experience with LLM fine-tuning using HuggingFace or similar frameworks Good understanding of NLP tasks like NER, summarization, classification, and sentiment analysis Solid foundation in EDA , supervised/unsupervised learning, and core ML algorithms Comfortable working with APIs and integrating third-party service Bonus (Preferred) Exposure to Redis , Celery , or similar distributed task systems Understanding of async architecture , background jobs , or microservices Who Should Apply Candidates with 1–2 years of industry or startup experience in AI/ML or backend development Individuals with strong self-learning skills and a passion for building real-world AI products Engineers who enjoy blending ML, NLP, and backend engineering into unified intelligent systems Equal Opportunity Provider MNR Technologies Global Pvt Ltd is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace. We do not discriminate on the basis of race, religion, color, gender, sexual orientation, age, disability, or any other characteristic protected under applicable laws. Employment decisions are based solely on merit, qualifications, and business needs. At MNR, we believe in innovation, continuous learning, and giving young minds the space to build, grow, and lead. Join us and help shape the future of AI.

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