AI/ML Engineer

Location:

Filling the google form mentioned below is mandatory. Please go to how to apply section and fill up the form.

About Purple Merit

At Purple Merit, we are pioneering the future of autonomous multi-agent AI systems

real change

Role Overview

As an AI/ML Engineer intern at Purple Merit, you will:

• You’ll architect intelligent agents with reasoning capabilities, develop RAG pipelines and context engineering solutions, and implement Model Context Protocol (MCP) servers for enterprise data connectivity.

• Work with production-grade technologies including agent-to-agent communication protocols (A2A, JSON-RPC), deploy scalable AI applications on AWS/Kubernetes, and collaborate cross-functionally on real-world agentic AI projects that shape the future of autonomous intelligence

• Work closely with cross-functional teams to drive integration, automation, and innovation.

Key Responsibilities

• Design and implement 

  intelligent, autonomous agents

   with 

  goal-driven action

   and 

  dynamic task assignment

  .
• Build 

  multi-agent workflows

   integrating perception, reasoning, and action across AI tools, APIs, and knowledge bases.
• Implement 

  RAG pipelines

   and 

  agent memory systems

   grounding agents in domain-specific knowledge.
• Develop workflows with 

  LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel

  , and orchestration tools like 

  n8n

  .
• Build, deploy, and manage 

  MCP servers/clients

   with 

  JSON-RPC 2.0

  , transport layers (

  stdio, HTTP, WebSocket

  ), and custom extensions.
• Implement real-time agent communication via 

  SSE

  , 

  WebSockets

  , and structured 

  A2A protocols

  .
• Fine-tune large and small language models (

  LLMs, SLMs

  ) with 

  LoRA, custom tokenizers, quantization

   techniques.
• Integrate generative AI frameworks such as 

  Google ADK, LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, DSPy, LiteLLM, Langfuse, MemGPT, mem0

  .
• Build scalable AI pipelines using 

  AWS Lambda, IAM, CloudFormation,

   and 

  Infrastructure as Code (CDK)

  .
• Write clean, testable, and scalable 

  Python code

   following best practices.
• Use 

  MLflow

   and 

  Weights & Biases

   for experiment tracking, versioning, and deployment.
• Work in security-compliant, large-scale enterprise environments ensuring 

  reliability

  .
• Design intuitive 

  UIs

   and robust 

  APIs

   enabling 

  human-in-the-loop feedback

   and collaborative workflows.
• Integrate external 

  data sources, APIs, and databases

   into AI agent workflows for dynamic decision-making.
• Participate in 

  AI safety, alignment

  , adversarial testing, and implement guardrails to ensure 

  secure, ethical agent behavior

  .
• Implement scalable 

  distributed agent orchestration, fault tolerance, load balancing

  , and 

  self-healing workflows

  .
• Develop 

  explainable AI

   pipelines and advanced monitoring for 

  observability

   and auditing.
• Work with 

  SQL/NoSQL

   (

  PostgreSQL, MongoDB

  ), vector DBs (

  FAISS, Pinecone

  ), and data analysis libraries (

  NumPy, Pandas, SciPy, Seaborn, Plotly

  ).

Required Skills & Qualifications

• Strong 

  Python programming

   skills with debugging, testing, and scalable code development.
• Foundational knowledge of designing and building 

  MCP servers, clients

  , and transport layers (

  stdio, HTTP, WebSocket

  ) with 

  JSON-RPC 2.0 protocol

  .
• Familiarity with 

  agent communication protocols

   (

  A2A, JSON-RPC 2.0, WebSockets

  ).
• Experience or strong interest in building 

  multi-agent AI systems

   and 

  generative AI

  .
• Ability to write clean, maintainable code and collaborate effectively in 

  remote teams

  .
• Passion for learning and eagerness to contribute to designing 

  secure MCP endpoints

   and extending protocol specifications.

• Implement and maintain robust Continuous Integration and Continuous Deployment (CI/CD) pipelines to ensure seamless automated testing, deployment, and monitoring of AI/ML models and autonomous agent systems.

• Good remote communication skills

   and discipline to work in a fixed schedule environment.

Mandatory

• Experience with generative AI frameworks and libraries such as 

  LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, DSPy, MemGPT, LiteLLM, Langfuse, Mem0

  .
• Knowledge of 

  reinforcement, supervised, and unsupervised learning

   to enhance agent capabilities.
• Familiarity with 

  cloud platforms

   (

  AWS/GCP/Azure

  ) and MLOps tools like 

  MLflow, Weights & Biases

  .
• Experience with containerization (

  Docker

  ), orchestration (

  Kubernetes

  ), and distributed ML (

  Spark MLlib, Dask-ML, Ray, Horovod

  ).
• Exposure to 

  AI safety, ethics

  , and adversarial testing methodologies.

Internship & Salary Structure

• Duration:

   5 months internship (remote)

• Stipend:

   ₹12,000 per month during internship

• Conversion:

   Upon successful internship completion, full-time salary range

  of ₹3 LPA to ₹9 LPA

  will be offered based on performance, leadership, and technical skills demonstrated.

• Note:

   There is 

  no direct full-time hiring

  ; only 

  internship-to-full-time conversion

   is available.

Things to Keep in Mind

• No laptop or physical assets will be provided by PurpleMerit;

  candidates must use their own systems.
• Fully 

  remote role

   requiring your own laptop/PC (

  preferably 16GB or 32GB RAM

  ) to handle development tasks efficiently.
• Fixed work hours: 

  Monday to Saturday, 9:30 AM – 6:30 PM IST

  .

• Freelancing or other external paid work

   during the internship is prohibited and may lead to termination.
• Strong remote communication skills and experience working in distributed teams are essential.
• Completion of the full 5-month internship is mandatory for consideration for full-time roles.

Why Join Purple Merit?

At Purple Merit, you’re not just joining a company you’re joining a movement pioneering agentic AI

• The freedom to 

  innovate and lead real-world projects

   that challenge the status quo.
• A culture rooted in 

  continuous learning, experimentation, and collaboration

  .
• A chance to work with 

  cutting-edge AI technologies

   shaping the future of autonomous systems.
• Opportunities to 

  grow into leadership roles

   and publish research.

• Remote flexibility

   allowing you to work from anywhere in India while being part of a dynamic, dedicated team.

How to Apply

Only candidates willing to commit fully to the internship duration and motivated by the role should apply. To be considered, please:

• Fill out the application form



The link is cannot be accessed from here. Please copy and paste the link in your browser and fill the form.

Filling the google form is mandatory. Only those applications will be considered.

• Submit your

  updated resume and any relevant portfolio

  or GitHub links on the

  application form only.

If any technical issues persist, write to the email ID mentioned in Form description.

Incomplete applications or direct contacts without form submission will not be considered.

Final Note

We’re seeking a true architect of agentic AI not generalists or casual learners, but passionate builders who have hands-on experience or a strong desire to build systems like AutoGPT, LangGraph, or ReAct-based agents