MongoDB
DockerJob Title: AI/ML Engineer (LLMs, RAG & Agent Systems)
Location: Bangalore, India (On-site)
Type: Full-time
About the Role
As an AI/ML Engineer, you’ll be part of a small, fast-moving team focused on developing LLM-powered agentic systems that drive our next generation of AI products.
You’ll work on designing, implementing, and optimizing pipelines involving retrieval-augmented generation (RAG), multi-agent coordination, and tool-using AI systems.
Responsibilities
- Design and implement components for LLM-based systems (retrievers, planners, memory, evaluators).
- Build and maintain RAG pipelines using vector databases and embedding models.
- Experiment with reasoning frameworks like ReAct, Tree of Thought, and Reflexion.
- Collaborate with backend and infra teams to deploy and optimize agentic applications.
- Research and experiment with open-source LLM frameworks to identify best-fit architectures.
- Contribute to internal tools for evaluation, benchmarking, and scaling AI agents.
Required Skills
- Strong foundation in ML/DL theory and implementation (PyTorch preferred).
- Understanding of transformer architectures, embeddings, and LLM mechanics.
- Practical exposure to prompt engineering, tool calling, and structured output design.
- Experience in Python, Git/GitHub, and data processing pipelines.
- Familiarity with RAG systems, vector databases, and API-based model inference.
- Ability to write clean, modular, and reproducible code.
Preferred Skills
- Experience with LangChain, LangGraph, Autogen, or CrewAI.
- Hands-on with Hugging Face ecosystem (transformers, datasets, etc.).
- Working knowledge of Redis, PostgreSQL, or MongoDB.
- Experience with Docker and deployment workflows.
- Familiarity with OpenAI, Anthropic, vLLM, or Ollama inference APIs.
- Exposure to MLOps concepts like CI/CD, model versioning, or cloud (AWS/GCP/Azure).
What We Value
- Deep understanding of core principles over surface-level familiarity with tools.
- Ability to think like a researcher and execute like an engineer.
- Collaborative mindset, building together, learning together.
Shubham Vishwakarma
Full Stack Developer - Averlon
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WeMakeScholars is an organization funded and supported by the Ministry of IT, Government of India under the 'Digital India Campaign'. We offer international education finance via scholarships and education loans, to study abroad aspirants. We are currently a 120 members team. Last financial year, we disbursed 2200 Cr in education loans to 8300 students across India.
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Job Overview:
We are hiring developers (from 0 to 10 experience) with relevant knowledge and experience with the development and deployment of large-scale cloud-native enterprise systems on PHP, REST APIs, Node Js, Flutter, AWS & MySql.
About Tech Department:
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Experience & Skills Required:
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teams
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Who should apply?
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8+ years of strong experience managing software projects right from inception to launch,
seeing the full lifecycle, building enterprise systems including at least 2 years of direct
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NodeJS (Node.js)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon