66degrees

AI transformation

AssociateAI/MLEngineer

Mysuru, Karnataka, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Associate AI/ML Engineer at 66degrees. Skills: AI/ML engineering, Generative AI, LLM applications, Agentic frameworks, Google Cloud Platform (GCP), Python, SQL, LangChain. Develop high-quality Python code to deliver AI-driven initiatives, focusing on LLM orchestration using LangChain, LangGraph, and supporting frameworks. Design and implement agent-based systems capable of multi-step reasoning, tool-use, and autonomous task execution”

What You'll Achieve.

clear, quantifiable outcomes; AI becomes an engine for growth; intelligent enterprise; autonomous systems unlocking human potential; reliable, scalable, and autonomous AI solutions

Industry & Context.

AI transformation
Problems you'll solve

complex business challenges; multi-step reasoning

What They're Looking For.

Must Have

3+ years in AI/ML engineering, Proven experience building LLM applications using LangChain or similar orchestration frameworks, Hands-on expertise with Google Cloud Platform (GCP), specifically Vertex AI, BigQuery, and Cloud Functions, proficiency in Python and SQL, A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience

Nice to Have

Knowledge of Vector Databases (e. g. , Vertex AI Search, Pinecone, or Weaviate)

What You'll Do.

Develop high-quality Python code to deliver AI-driven initiatives

focusing on LLM orchestration using LangChain

and supporting frameworks

Design and implement agent-based systems capable of multi-step reasoning

and autonomous task execution

Architect and optimize data pipelines within GCP (BigQuery

Dataflow) to support Retrieval-Augmented Generation (RAG) and model fine-tuning

Own the end-to-end lifecycle of AI models

from prototyping in Vertex AI to production deployment and monitoring (MLOps)

Partner with global technology teams to translate business requirements into technical AI specifications

Ensure code reliability through comprehensive unit testing and rigorous evaluation of LLM outputs (faithfulness

How You'll Work.

Team & Collaboration

Partner with global technology teams to translate business requirements into technical AI specifications

Full Job Description

Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role As an Associate in AI/ML, you will bridge the gap between traditional data engineering and modern Generative AI. You will be instrumental in designing, building, and maintaining the infrastructure required to serve advanced LLM applications and Agentic frameworks. Working within the Google Cloud ecosystem, you will ensure our managed services projects are powered by reliable, scalable, and autonomous AI solutions. Responsibilities Develop high-quality Python code to deliver AI-driven initiatives, focusing on LLM orchestration using LangChain, LangGraph, and supporting frameworks. Design and implement agent-based systems capable of multi-step reasoning, tool-use, and autonomous task execution. Architect and optimize data pipelines within GCP (BigQuery, Pub/Sub, Dataflow) to support Retrieval-Augmented Generation (RAG) and model fine-tuning. Own the end-to-end lifecycle of AI models, from prototyping in Vertex AI to production deployment and mon

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