Machine Learning Engineer

Shuru; India; Remote; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Remote-first culture

Competitive salary

Team-building activities

Job summary

An innovative technology company seeks a highly skilled Senior AI/ML Engineer with expertise in AI-driven chatbot systems. In this full-time role, you will design and develop intelligent conversational experiences and lead the creation of scalable AI systems. Candidates should have 4+ years of experience with Python and a strong ML background. Enjoy global projects and a remote-first culture with competitive salary and benefits.

Qualifications

• 4+ years of experience focused on Python.
• Strong experience in AI/LLM product development.
• Familiar with Langchain architectures and RAG workflows.
• Strong knowledge of vector databases and RAG pipelines.
• Experience with cloud services (AWS, GCP, or Azure).
• Knowledge of API design, microservices, and event-driven architecture.
• Solid data structures, algorithms, and performance optimization.
• Strong communication and leadership skills.

Responsibilities

• Design and deploy AI chatbots using Python.
• Architect AI systems with Langchain and LlamaIndex.
• Lead product development from ideation to production.
• Integrate LLM APIs and fine-tune models for domain tasks.
• Lead POCs and drive end-to-end product development from ideation to production.
• Collaborate with product, ML, and backend teams to deliver scalable AI apps.
• Optimize system performance and troubleshoot distributed architectures.
• Lead and mentor junior engineers in the AI tech stack.

Skills

Python

AI/ML Systems

Communication Skills

Leadership Skills

Communication

Tools

Langchain

LlamaIndex

AWS

Google Cloud Platform (GCP)

Azure

Docker

Kubernetes

FastAPI

Django

Flask

Kubernetes

Job description

Category: Technology

Location: (Not specified)

An innovative technology company seeks a highly skilled Senior AI/ML Engineer with deep expertise in building AI‑driven chatbot systems and end‑to‑end LLM‑powered applications. In this role, you will architect and develop intelligent conversational experiences, work with LLM frameworks, and lead the design of scalable AI systems.

Key Responsibilities

• Design, develop, and deploy AI‑powered chatbots and conversational interfaces using Python.
• Architect and build AI/LLM‑based systems leveraging frameworks like Langchain and LlamaIndex.
• Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for retrieval‑augmented generation (RAG) workflows.
• Integrate LLM APIs (e.g., OpenAI, Anthropic, Cohere) and fine‑tune models for domain‑specific tasks.
• Lead POCs and drive end‑to‑end product development from ideation to production.
• Collaborate with product, ML, and backend teams to deliver scalable AI applications.
• Optimize system performance and troubleshoot distributed architectures.
• Lead and mentor junior engineers in the AI technology stack.

Requirements

• 4+ years of industry experience with a strong focus on Python.
• Proven experience in building and deploying AI/LLM‑based products.
• Familiarity with Langchain‑style architectures and multi‑agent workflows.
• Strong understanding of vector databases, embeddings, and RAG pipelines.
• Experience working with cloud services like AWS, GCP, or Azure.
• Knowledge of API design, microservices, and event‑driven architecture.
• Solid grasp of data structures, algorithms, and performance optimization.
• Strong communication and leadership skills.

Nice to Have

• Experience with fine‑tuning LLMs or building custom NLP pipelines.
• Exposure to frameworks like FastAPI, Django, or Flask.
• Familiarity with Docker, Kubernetes, and CI/CD processes.

Benefits

• Work on global projects with clients worldwide.
• Be part of a remote‑first culture – work from anywhere with flexibility.
• Enjoy team‑building activities and regular outings.
• Collaborate and grow in a supportive environment with opportunities to learn from senior engineers.
• Competitive salary and benefits package.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting