Job highlights

- Experience building enterprise-scale MCP servers and AI middleware platforms. . Proficiency in Docker,Kubernetes,and microservices architecture. . Hands-on experience with vector databases such as Weaviate (or similar). . Robust programming experience in TypeScript / JavaScript .
- Required Technical Skills
- Good to Have

Job Title: GenAI Engineer- Skills: GenAI, Typescript, Javascript, AWS Experience: 4 8 years Location: Remote & India (Hybrid)- Job Locations: Gurgaon, Haryana, India; Chennai, Tamil Nadu, India; Bangalore, Karnataka, India

Role Overview

We are seeking a GenAI Engineer with strong hands-on experience in building, deploying, and scaling enterprise-grade Generative AI solutions. The ideal candidate will have deep expertise in LLM internals, Retrieval Augmented Generation (RAG), and cloud-native microservices, with the ability to translate AI capabilities into secure, scalable enterprise applications.

Key Responsibilities

- Design and develop GenAI solutions leveraging AWS services such as Lambda, Managed Airflow (MWAA), Bedrock, S3, and DynamoDB.
- Build and optimize RAG-based architectures using vector databases and advanced text processing techniques.
- Work with LLMs and enterprise chat platforms including ChatGPT, OpenAI APIs, Anthropic (Claude), and Ollama.
- Develop and maintain enterprise-level MCP servers and GenAI backend services.
- Design and deploy containerized microservices using Docker and Kubernetes.




- Integrate vector databases such as Weaviate for semantic search and knowledge retrieval.
- Ensure scalability, security, observability, and compliance of GenAI solutions in enterprise environments.
- Collaborate with architects, product teams, and stakeholders to align AI solutions with business use cases.
- Provide technical guidance and contribute to architectural decisions for GenAI platforms.

Required Technical Skills

- Strong understanding of AWS services: Lambda, Bedrock, MWAA (Managed Airflow), S3, DynamoDB.
- In-depth knowledge of LLM internals, RAG architectures, vector databases, NLP, and text processing pipelines.
- Hands-on experience with enterprise chat systems using ChatGPT, OpenAI, Anthropic (Claude), and/or Ollama.
- Experience building enterprise-scale MCP servers and AI middleware platforms.
- Proficiency in Docker, Kubernetes, and microservices architecture.
- Hands-on experience with vector databases such as Weaviate (or similar).
- Strong programming experience in TypeScript / JavaScript.
- Knowledge on building Chrome Extensions.

Good to Have

- Experience with API gateways, authentication, and authorization in AI systems.
- Exposure to CI/CD pipelines and MLOps practices for GenAI workloads.
- Knowledge of observability tools for monitoring AI services and model performance.

Soft Skills

- Strong problem-solving and system design skills.
- Ability to explain complex GenAI concepts to non-technical stakeholders.
- Proactive learner with a strong ownership mindset.

📌 GenAI Engineer (Bengaluru)
🏢 Qloron Technology
📍 Bengaluru