Accolite

GenAI Engineer

Posted On

Jan. 28, 2026

Location

Gurgaon, Haryana

Experience Level

4 - 8 Years Exp.

Job Type

Full Time

Apply By

Feb. 14, 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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