Role Overview :

We are looking for an experienced Senior Gen AI Engineer to design, develop, and deploy next-generation Artificial Intelligence solutions. The ideal candidate will have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Python, Data Engineering, and MLOps.

The candidate will be responsible for building scalable AI applications, productionizing ML/AI pipelines, developing intelligent automation solutions, and collaborating with engineering and business teams to deliver enterprise-grade AI capabilities.

Key Responsibilities :

1. Generative AI Solution Development :

- Design and develop enterprise-level Generative AI applications using LLM-based architectures.
- Build and optimize RAG pipelines for knowledge retrieval, question answering, and AI-powered solutions.
- Develop AI Agent workflows using agent orchestration frameworks.
- Integrate LLMs with enterprise systems, APIs, and data platforms.
- Implement prompt engineering techniques to improve AI response quality and accuracy.

2. AI Application Engineering :

- Develop scalable backend services and AI applications using Python.
- Build APIs and services to support AI-powered applications.
- Design solutions for LLM integration, data processing, and AI automation.
- Work on AI application architecture, performance optimization, and scalability.

3. Data Engineering & AI Pipelines :

- Design and develop data pipelines required for AI/ML workloads.
- Perform data extraction, transformation, validation, and preparation.
- Develop optimized SQL queries and work with structured and unstructured data.
- Implement data workflows supporting RAG and AI applications.

4. MLOps & Production Deployment :

- Deploy and maintain AI/ML solutions in production environments.




- Build CI/CD pipelines for AI application deployment.
- Implement model monitoring, versioning, and performance tracking.
- Work with containerization and orchestration technologies.

5. AI Research & Innovation :

- Evaluate emerging GenAI technologies and frameworks.
- Research improvements in LLM performance, RAG architecture, and AI Agent capabilities.
- Recommend AI-driven solutions for business problems.
- Contribute to AI best practices and knowledge-sharing initiatives.

Required Skills :

Mandatory Technical Skills :

- 8 - 12 years of software engineering experience with robust AI/ML exposure.
- Advanced programming experience in Python.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Strong experience building RAG (Retrieval-Augmented Generation) solutions.
- Experience developing AI Agents / Agentic AI workflows.
- Strong understanding of :
- Prompt Engineering
- Embeddings
- Vector Search
- Model Evaluation
- Responsible AI practices.
- Strong SQL and Data Engineering knowledge.
- Experience building and deploying production ML/AI pipelines.
- Hands-on experience with cloud platforms : 1. AWS 2. Azure 3. GCP.

2. Required Frameworks & Tools :

- GenAI Frameworks :
- LangChain
- LangGraph
- LlamaIndex.
- AI/ML Frameworks :
- PyTorch
- TensorFlow
- Scikit-learn
- Hugging Face Transformers.
- RAG & Vector Databases :
- FAISS
- Pinecone
- ChromaDB
- Weaviate
- Milvus.
- MLOps & Deployment :
- MLflow
- Docker
- Kubernetes
- CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).

Good-to-Have Skills :

- Experience with Azure OpenAI / OpenAI APIs.
- Knowledge of Snowflake, Databricks, or data warehouse platforms.
- Experience with Apache Spark and Airflow.
- Knowledge of REST APIs and microservices architecture.
- Experience designing scalable enterprise AI platforms.
- Exposure to AI governance and security practices.

📌 Senior Generative AI Engineer (India)
🏢 SYSMIND
📍 India