AI/ML Agents Developer

Role & responsibilities

Senior AI ML Developer

1. Develop CRM Agentic AI

• Design and implement AI agents using frameworks like Lang Chain, AutoGPT, or ReAct.
• Automate CRM processes by enabling agents to handle emails, generate follow-ups, update pipelines, and classify tickets.
• Integrate models for sentiment analysis, intent recognition, entity extraction, and summarization.
• Connect agents to external APIs, calendars, and CRM tools (e.g., Salesforce, HubSpot).
• Manage agent memory and context via vector databases like FAISS or Pinecone.

2. Conversational KPI Dashboard Assistant

• Build a chatbot interface that allows users to query CRM KPIs via natural language.
• Use Python, LangChain, and OpenAI APIs to parse queries and trigger backend data retrieval tools.
• Render results in both dashboard format (e.g., Recharts/Chart.js) and tabular views.
• Support queries like "Whats the total expected revenue this quarter?" or "Show me the lead-to-win ratio by region."

3. Similarity and Recommendation Engines

• Extract features from existing AI/ML libraries.
• Build and manage an embedding database for semantic similarity search.
• Implement clustering algorithms (e.g., K-Means) to group songs based on genre.
• Develop a scoring system to compare new tracks to a database of existing songs.

Required Experience and Qualifications:

• 4+ years of experience

  in AI/ML Model development.
• Should have expert knowledge in CRM Domain including workflows, Forms, Dashboards/reports and data import/export as done.
• Proficient in Python, with strong experience in

  TensorFlow, PyTorch, and Scikit-learn

  .
• Working knowledge of

  LangChain, AutoGPT

  and

  LLM

  integration.
• Expertise in developing Agents for CRM, Dashboards in Leading organisation.
• Expertise in implementing Agentic AI solutions using LLM models, RAG and Vector database.
• Proven experience in vector similarity, embedding models and clustering techniques.
• Passionate about AI innovation and solving real-world challenges with automation and intelligence
• Proven experience in

  designing platform architecture

  and managing API integrations.
• Strong background in

  microservices architecture

  and REST API design.
• Demonstrated experience with

  scalability and performance optimization

  for cloud-based platforms.

• Experience with Agile methodologies

  and leading cross-functional teams in a fast-paced environment.
• Excellent

  communication and presentation skills

  for delivering product demos and gathering customer feedback.
• Proven ability to manage a product roadmap and deliver on

  tight deadlines

  .

• Experience with data security

  , compliance, and industry best practices.
• A bachelors degree in computer science, engineering, or a related field.