Genai / Ai Ml Engineer Machine Learning / Deep Learning Gurugram (India)

Genai / Ai Ml Engineer Machine Learning / Deep Learning Gurugram (India)

18 Sep
|
Tasknera
|
India

18 Sep

Tasknera

India

Role Overview

We are looking for a Senior AI / GenAI Engineer to architect, build, and deploy production-grade LLM applications, RAG pipelines, and multi-agent workflows. You will collaborate with cross-functional teams to integrate enterprise-grade AI solutions into our scalable backend and cloud infrastructure.

Key Responsibilities
GenAI Development: Architect end-to-end RAG systems and multi-agent workflows using LangChain, LangGraph, and vector databases.
Model Evaluation & Optimization: Fine-tune models and track performance metrics using frameworks like RAGAS, BLEU, and ROUGE.
Backend Architecture: Design and maintain robust RESTful APIs in Python using FastAPI to serve AI features.
Deployment & Cloud: Package and deploy scalable models using Docker and AWS services (Bedrock, SageMaker, EC2, S3) via CI/CD pipelines.

Required Qualifications
1+ years of dedicated skilled experience delivering GenAI/LLM solutions in production.
Technical Stack: Deep proficiency in Python, SQL, PyTorch/TensorFlow, Scikit-Learn, FastAPI, and Hugging Face.
GenAI Frameworks:



Advanced hands-on experience with LangChain, LangGraph, OpenAI APIs, and vector databases (Pinecone, FAISS).
Infrastructure: Demonstrated experience with Docker containerization and AWS infrastructure (SageMaker, Bedrock, EC2, S3).

Pay: ₹1,800,000.00 - ₹2,000,000.00 per year

Application Question(s):
Are you available to attend a single-round, face-to-face interview this Monday or Tuesday at the SunLife office in Sector-62, Gurugram?
Are you currently located in Delhi-NCR (Delhi/Gurgaon/Noida/Faridabad/Ghaziabad) and comfortable working in a hybrid setup (Gurugram office)?
What is your current employment status and notice period?
What is your current CTC and expected CTC?
Hands-on GenAI Experience: Do you have 1+ years of hands-on experience building production RAG pipelines, AI agents (using LangChain or LangGraph), and FastAPI endpoints in Python?

Work Location: In person

📌 Genai / Ai Ml Engineer Machine Learning / Deep Learning Gurugram (India)
🏢 Tasknera
📍 India

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