AIML Engineer _ Dotsquares Technologies Jaipur

Job Title:

Experience:

Kindly share your CV atshubhanshu.mishra@dotsquares.com

Job Summary:

AI Engineer (Senior Python Developer)

production-grade AI applications

Key Responsibilities:

• Design and develop AI applications using

  Large Language Models (LLMs)

  ,

  RAG

  , and

  multi-agent architectures

  .
• Build

  high-performance APIs

  using

  FastAPI

  , including scalable, secure, and well-documented endpoints.
• Lead development of

  Generative AI-based conversational agents

  (text and voice) with support for low-latency communication and WebSocket integrations.
• Architect

  end-to-end solutions

  integrating

  vector databases

  (FAISS, pgvector, Chroma, Pinecone) for semantic and embedding-based search.
• Develop efficient

  ETL and data pipelines

  using Pandas, PySpark, and SQL.
• Apply and optimize

  caching techniques

  (Redis, memory-based) and

  background task queues

  using

  Celery

  .
• Ensure robust

  MLOps workflows

  : CI/CD for ML, model versioning, monitoring, retraining, deployment, and registry.
• Perform

  database integration

  with relational and NoSQL systems (

  MySQL, PostgreSQL, MongoDB

  ).
• Write optimized and complex SQL queries for reporting, analytics, and dynamic retrieval.
• Deploy scalable services and ML models in

  cloud environments

  such as

  AWS

  ,

  Azure

  , or

  GCP

  .
• Communicate effectively with technical and non-technical stakeholders; gather requirements and translate them into actionable solutions.

Must-Have Skills:

• Python (Expert)

  with strong fundamentals and extensive experience in

  Pandas

  and

  PySpark

  .
• Hands-on experience with

  LLMs

  ,

  RAG

  ,

  multi-agent systems

  , and

  GenAI

  applications.
• Strong knowledge of

  FastAPI

  for API development.
• Advanced proficiency in

  SQL

  capable of writing efficient, optimized, and analytical queries.
• Experience with

  vector databases

  : FAISS, pgvector, Chroma, Pinecone.
• Background task orchestration using

  Celery

  .

• Redis

  and memory-based caching for performance.
• Strong system design and problem-solving skills.
• Experience with

  MLOps

  practices and tools (model registry, CI/CD, retraining, serving, monitoring).
• Hands-on with

  MySQL

  ,

  PostgreSQL

  , and

  NoSQL

  databases (e.g., MongoDB).
• Strong verbal and written communication; ability to interface directly with clients and stakeholders.
• Experience deploying in

  cloud environments

  AWS, Azure, or GCP.

Good to Have:

• Experience with

  WebSocket

  for real-time, low-latency systems.
• Conversational AI involving

  voice + text interfaces

  .
• Fine-tuning or retraining open-source LLMs (e.g.,

  LLaMA

  ,

  Falcon

  ,

  Mistral

  ).
• Familiarity with

  MCP architecture

  (Model-Context-Prompt) for GenAI systems.
• Exposure to

  Docker

  ,

  Kubernetes

  , and scalable ML deployment patterns.
• Experience with

  ETL orchestration tools

  like Airflow, Prefect (if applicable).

Qualifications:

• Bachelors or Masters degree in

  Computer Science

  ,

  Artificial Intelligence

  ,

  Data Science

  , or a related field.
• 3- 5 years of experience in backend development and AI systems with at least

  3 years in GenAI / LLM-based projects

  .

production-grade AI solutions