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Accolite - Generative AI Engineer

ACCOLITE DIGITAL INDIA PRIVATE LIMITED
Multiple Locations
4 - 8 Years

Posted on: 02/02/2026

Job Description

Job Title : GenAI Engineer


Experience: 4- 8 years


Location : India (Hybrid)


Role Overview :


We are seeking a GenAI Engineer with strong hands-on experience in building, deploying, and scaling enterprise-grade Generative AI solutions on AWS. 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.


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.


- Prior experience mentoring engineers or contributing to hiring and technical interviews.


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.


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