Senior Gen AI Engineer

Godigitaltc; Mumbai; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Godigitaltc in Mumbai is seeking a Senior Gen AI Engineer to architect and scale Generative AI systems. This full-time role involves deep expertise in AI/ML, especially with LLMs and AWS. Responsibilities include driving initiatives for LLM-based applications and leading teams to develop scalable solutions. The ideal candidate has 4-7 years in AI/ML, a strong background in machine learning techniques, and excellent leadership skills. This position offers opportunities to shape AI strategy and collaborate with key stakeholders.

Qualifications

• 4–7 years of experience in AI/ML, Data Science, or AI Engineering.
• Strong foundation in Machine Learning, Deep Learning, and Statistical Modeling.
• Generative AI experience including LLMs and foundation models.
• Hands-on experience with AWS services and deploying AI/ML solutions.

Responsibilities

• Architect end-to-end GenAI systems including data pipelines.
• Build and deploy GenAI solutions on AWS Bedrock and SageMaker.
• Lead and mentor AI engineers and data scientists.
• Collaborate with stakeholders to deliver scalable AI solutions.

Skills

Generative AI (Hands-on)

AWS (Mandatory)

Python

Machine Learning

Deep Learning

Statistical Modeling

Tools

AWS Bedrock

AWS SageMaker

PyTorch/TensorFlow

SQL

Job description

Job Role: Senior Gen AI Engineer – GenAI & Advanced ML

Job Type: Full-time

Experience: 4–7 years

About the Role

We are looking for a Senior AI Engineer – Generative AI with leadership experience and deep expertise in AI/ML and production‑grade GenAI systems. This role requires a hands‑on technical leader who has built, deployed, and scaled Generative AI solutions while leading teams and driving architectural decisions.

The ideal candidate will have a strong foundation in machine learning, deep learning, and statistical modeling, along with real‑world experience in LLMs, RAG, fine‑tuning, and AI agents. A background in forecasting or predictive modeling should complement broader AI/ML problem‑solving. Strong hands‑on experience with AWS (especially Bedrock and SageMaker) is mandatory.

If you enjoy owning GenAI strategy end‑to‑end and building scalable AI systems, this role is for you.

Key Responsibilities

• Architect end‑to‑end GenAI systems including data pipelines, training, evaluation, deployment, and monitoring.
• Drive initiatives across:
  • LLM‑based applications
  • Retrieval‑Augmented Generation (RAG)
  • AI agents & orchestration workflows
• Build and deploy GenAI solutions on AWS Bedrock and SageMaker .
• Apply ML/DL techniques for forecasting, prediction, and intelligent automation.
• Lead and mentor AI engineers and data scientists.
• Collaborate with product and business stakeholders to deliver scalable AI solutions.
• Design and maintain ML/GenAI pipelines for experimentation and retraining.
• Ensure responsible AI, scalability, and performance standards.

Qualifications & Skills

• 4–7 years of experience in AI/ML, Data Science, or AI Engineering
• Strong foundation in Machine Learning, Deep Learning, and Statistical Modeling.
• Generative AI (Hands‑on):
  • LLMs and foundation models
  • Fine‑tuning & inference optimization
  • AI agents / orchestration
• AWS (Mandatory):
  • Amazon Bedrock
  • Amazon SageMaker
  • Experience deploying AI/ML solutions on AWS
• Proficiency in Python (pandas, NumPy, scikit‑learn, PyTorch/TensorFlow).
• SQL and large‑scale data processing experience.
• Strong understanding of ML system design and model evaluation.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with Spark / big data ecosystems.
• Knowledge of vector databases (FAISS, Pinecone, Weaviate).
• Exposure to AI governance and responsible AI frameworks.