Software Engineer/Senior Software Engineer - AI/ ML

Position : Software Engineer/Senior Software Engineer AI/ML

**Department: Engineering &; Technology Function: AI/ML Platform Engineering**

Min Exp- 3 to 7 yrs

salary u to 12 lpa

Preferred Qualifications:

• Experience with agentic AI architectures for task orchestration.

• Familiarity with AIOps, AI-driven decision-making, automation strategies, knowledge graphs and

structured data extraction

• Background in Healthcare AI, Financial AI, Enterprise AI solutions, contact center AI, or process

automation.

Role Summary

We are seeking a highly skilled Generative AI & Conversational AI Expert to design, develop, and deploy

AI-driven solutions that enhance automation, improve user experiences, and enable intelligent decision-

making. This role will focus on both Conversational AI (chatbots, voice assistants, Natural Language

Processing (NLP), and Conversational AI frameworks) and Generative AI (LLMs, RAG, prompt

engineering, and AI-based content generation).

The ideal candidate should have expertise in LLMs (GPT, LLaMA, Claude, Mistral, etc.), Retrieval-

Augmented Generation (RAG), Knowledge Graphs, NLP, and AI model fine-tuning, AWS Lex, OpenAI,

Rasa, Dialogflow, or similar platforms. They will also be responsible for building AI-powered assistants,

integrating AI into business workflows, and optimizing AI models for real-world applications.

Responsibilities

Generative AI (Gen AI) Responsibilities

Conversational AI Responsibilities

Required Skills &; Qualifications:

• 3-7 years of experience in AI/ML, NLP, or Conversational AI development.
• Strong AI & NLP Expertise Hands-on experience with LLMs, Transformer models, OpenAI,

Hugging Face, LangChain.

• Proficiency in AI Frameworks Experience with TensorFlow, PyTorch, Rasa, AWS Lex,

Dialogflow.

• Vector Databases & RAG – Knowledge of Pinecone, FAISS, Weaviate, ChromaDB for AI memory

storage.

• Conversational AI Development – Experience building intelligent chatbots & voice assistants.
• Understanding of speech-to-text (STT), text-to-speech (TTS), and multi-modal AI interactions.
• Model Fine-Tuning & Optimization – Hands-on with LLM training, prompt tuning, and

hyperparameter tuning.

• API & Backend Integration – Experience integrating AI into enterprise applications, RPA tools,

and cloud services.

• Cloud & Deployment – Experience with AWS, Azure, GCP, Docker, Kubernetes for AI model

deployment.

• Knowledge Graphs & Data Processing – Ability to structure data for AI reasoning.
• Hands-on experience with APIs, webhooks, and AI model integrations.
• Experience in cloud-based AI deployments (AWS, Azure, GCP).
• Proficiency in Python, Node.js or Java
• Strong problem-solving and analytical skills.
• Willingness to learn new technology stack and scale up•

Please call Hemant 9715166618 for more Info

Regards

Hemant

9715166618