Senior AI/ML Engineer – LLM & Python

Experience: 3–5 Years
Location: Hyderabad / Indore / Ahmedabad
Work Mode: In-Office | 5 Days
CTC: ₹17–28 LPA
Employment Type: Full-Time

About the Role

We are looking for a Senior AI/ML Engineer with strong hands-on experience in Python, LLMs, NLP, RAG, Generative AI, and production-grade AI/ML systems.

The ideal candidate should have experience building, deploying, and scaling AI solutions involving LLM applications, document processing, information extraction, RAG pipelines, embeddings, vector databases, and agentic workflows.

Key Responsibilities

- Design and deliver production-grade AI/ML, LLM, RAG, and extraction solutions end-to-end.
- Develop scalable AI/ML services using Python, SQL, REST APIs, PyTorch/TensorFlow, Pandas, NumPy, and Scikit-learn.
- Build AI-driven document processing workflows including document parsing, chunking, embeddings, text processing, RAG, and LLM-based information extraction.
- Deploy and scale AI models using AWS and Azure, including SageMaker, Bedrock, EC2, Lambda, Azure AI Foundry, and Azure OpenAI.
- Build CI/CD and MLOps pipelines using GitHub Actions, Azure DevOps, Docker, Kubernetes, MLflow, and Weights & Biases.
- Implement model evaluation using Precision, Recall, F1, field-level accuracy, and iterative model improvement.
- Develop AI observability solutions using Prometheus, Grafana, and SLOs.
- Work with LangChain, LangGraph, CrewAI and other agentic AI/orchestration frameworks.
- Collaborate with Product, Data Engineering, and Platform teams to deliver scalable AI solutions.
- Lead technical projects, mentor team members, and contribute to Agile development practices.

Mandatory Requirements

- 3+ years of professional AI/ML Engineering experience with production-grade AI systems.
- Solid hands-on Python and SQL skills.




- Experience with PyTorch or TensorFlow, Scikit-learn, Pandas, and NumPy.
- Strong experience in NLP, Transformers, Embeddings, Vector Databases, RAG, LLMs, and Generative AI.
- Hands-on experience with document parsing, information extraction, text processing, chunking, and embeddings.
- Experience building and deploying production-grade LLM/RAG applications.
- Strong experience with AWS and Azure, particularly SageMaker, Bedrock, EC2, Lambda, Azure AI Foundry, and Azure OpenAI.
- Experience with LangChain, LangGraph, CrewAI or similar multi-agent/orchestration frameworks.
- Hands-on MLOps experience with MLflow/W&B;, model versioning, CI/CD, Docker, and Kubernetes.
- Experience with AI/ML evaluation frameworks and observability.
- Experience leading technical projects/teams and mentoring team members.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field.
- Experience working with B2B Technology, B2B Software, or Consulting organizations.

Preferred Skills

- AWS, Azure, or Databricks certifications.
- Experience with Apache Kafka and Apache Airflow.
- Agile development experience.
- Experience with Azure DevOps, GitHub Actions, Terraform, or cloud infrastructure.

Interview Process

- Technical Round
- Technical Round
- Technical + Managerial Round
- Final CTC Discussion

Pay: ₹1,700,000.00 - ₹2,800,000.00 per year

Application Question(s):

- Do you have 3+ years of professional AI/ML Engineering experience?
- Do you have hands-on experience with RAG, embeddings, vector databases, document parsing and information extraction?
- Do you have hands-on AWS AI/ML experience, including SageMaker/Bedrock?
- Do you have hands-on Azure AI Foundry/Azure OpenAI experience?
- Do you have experience with AI/ML evaluation metrics such as Precision, Recall, F1 or field-level accuracy?

Work Location: In person

📌 Senior AI/ML Engineer – LLM & Python (Hyderabad)
🏢 S Talent HUB
📍 Hyderabad