Senior AI Engineer

Zycus Inc.; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Zycus Inc. in Mumbai, Pune, Bengaluru seeks a Senior AI Engineer to design, develop, and deploy cutting-edge AI-powered applications using LLMs, Generative AI, and modern ML frameworks.

You will collaborate with cross-functional teams to build scalable, production-ready AI solutions addressing complex business problems. The role focuses on RAG pipelines, AI agents, fine-tuning LLMs, and integrating AI models with enterprise APIs.

Qualifications

• 2–4 years of experience in AI/ML or Generative AI development.
• Strong proficiency in Python.
• Hands‑on experience with LLMs (OpenAI, Anthropic, Gemini, Llama, Mistral, etc.).
• Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
• Experience building RAG applications using vector databases.
• Hands‑on experience with vector databases such as Pinecone, Weaviate, Milvus, ChromaDB, or FAISS.
• Strong understanding of prompt engineering and LLM evaluation.
• Experience with PyTorch or TensorFlow.
• Knowledge of REST APIs and backend development.
• Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
• Good understanding of software engineering best practices and Git.

Responsibilities

• Design, build, and deploy AI/ML solutions with a focus on Generative AI and LLMs.
• Develop and optimize RAG pipelines.
• Build AI agents and multi-agent workflows using modern orchestration frameworks.
• Fine-tune, evaluate, and optimize LLMs for domain-specific use cases.
• Integrate AI models with enterprise applications and APIs.
• Develop scalable backend services to support AI applications.
• Collaborate with Product, Engineering, and Data teams to deliver AI-driven features.
• Monitor model performance, latency, accuracy, and cost optimization in production.
• Stay updated with advancements in Generative AI, NLP, and Machine Learning.

Skills

Python

LLMs

RAG development

Prompt engineering

REST APIs

Git

Education

Bachelor's or Master's in CS/AI/DS

Tools

LangChain

LangGraph

LlamaIndex

Pinecone

Weaviate

Milvus

ChromaDB

FAISS

PyTorch

TensorFlow

Docker

Kubernetes

AWS

Azure

GCP

Job description

Job Title: Senior AI Engineer

Location: Mumbai | Pune | Bengaluru

Experience: 2–4 Years

About the Role

We are looking for a passionate and innovative Senior AI Engineerto join our growing AI team. You will design, develop, and deploy cutting-edge AI-powered applications using Large Language Models (LLMs), Generative AI, and modern machine learning frameworks. You will collaborate with cross-functional teams to build scalable, production-ready AI solutions that solve complex business problems.

Key Responsibilities

• Design, build, and deploy AI/ML solutions with a focus on Generative AI and Large Language Models (LLMs).
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Build AI agents and multi-agent workflows using modern orchestration frameworks.
• Fine-tune, evaluate, and optimize LLMs for domain-specific use cases.
• Integrate AI models with enterprise applications and APIs.
• Develop scalable backend services to support AI applications.
• Collaborate with Product, Engineering, and Data teams to deliver AI-driven features.
• Monitor model performance, latency, accuracy, and cost optimization in production.
• Stay updated with the latest advancements in Generative AI, NLP, and Machine Learning.

Required Skills

• 2–4 years of experience in AI/ML or Generative AI development.
• Strong proficiency in Python.
• Hands‑on experience with LLMs(OpenAI, Anthropic, Gemini, Llama, Mistral, etc.).
• Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
• Experience building RAG applicationsusing vector databases.
• Hands‑on experience with vector databases such as Pinecone, Weaviate, Milvus, ChromaDB, or FAISS.
• Strong understanding of prompt engineering and LLM evaluation.
• Experience with PyTorchor TensorFlow.
• Knowledge of REST APIs and backend development.
• Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
• Good understanding of software engineering best practices and Git.

Preferred Skills

• Experience building AI agents or autonomous workflows.
• Knowledge of MCP (Model Context Protocol).
• Experience with fine-tuning open-source LLMs using LoRA/QLoRA.
• Familiarity with Hugging Face ecosystem.
• Experience with CI/CD pipelines and MLOps.
• Knowledge of NLP, embeddings, semantic search, and vector similarity search.
• Experience working in SaaS or enterprise software products.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

What We're Looking For

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Passion for Generative AI and continuous learning.
• Ability to work in a fast-paced product environment.

What's in it for you?

• Be part of one of the pioneers in AI-powered Source-to-Pay procurement, building intelligent products for global enterprises.
• Work on next-generation Agentic AI, LLM-powered applications, and enterprise-scale automation solutions.
• Collaborate with world-class product, engineering, and AI teams to solve complex business problems at scale.
• Take ownership of impactful features from ideation to deployment in a fast-paced product environment.
• Accelerate your career with continuous learning, mentorship, and exposure to the latest AI technologies.
• Experience a culture of innovation, ownership, and collaboration while contributing to products trusted by leading global organizations.
• Enjoy competitive compensation, comprehensive benefits, and opportunities for long-term career growth.