AIML Engineer _ Dotsquares Technologies Jaipur Dotsquares

3.0 - 5.0 years

4 - 9 Lacs

Jaipur

Work from Office

Job Title: AI Engineer Experience: 3 - 5 Years Location: Jagatpura, Jaipur Type: Full-Time Kindly share your CV at shubhanshu.mishra@dotsquares.com Job Summary: We are seeking a highly skilled AI Engineer (Senior Python Developer) with 3- 5 years of experience, including at least 3+ years of hands-on expertise in LLM implementation , Retrieval-Augmented Generation (RAG) architectures, and multi-agent systems . This role is ideal for someone who enjoys working across the stack from data engineering and scalable backend APIs to cutting-edge Generative AI and MLOps workflows. You will take full ownership of building production-grade AI applications and intelligent systems, collaborating cross-functionally with stakeholders and product teams. 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 . Proven ownership of production-grade AI solutions and real-world deployment.

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