Generative AI Engineer

GenAI Engineer (Semantic Search & RAG Systems)

Location :

Remote in India (to work in US Time zone)

Sesheng Company

is looking for a skilled and driven

GenAI Engineer

to join our team on a contract basis. You will be instrumental in designing and deploying a cutting-edge semantic search capability to power our next generation of enterprise AI applications. This role is perfect for an engineer who thrives on building

production-ready LLM-powered retrieval systems

from the ground up.

As a GenAI Engineer, your primary focus will be on the end-to-end development of

Retrieval-Augmented Generation (RAG)

systems. You will leverage

Amazon Bedrock ,

OpenSearch , and advanced

vector embedding pipelines

to deliver highly relevant and performant search and retrieval services.

Key Responsibilities

Design and implement robust

semantic search architectures

utilizing

Amazon Bedrock

and

OpenSearch

(specifically k-NN indexing and vector embeddings).

Build automated

embedding pipelines

for data ingestion and indexing using core AWS services like

Lambda ,

S3 , and

API Gateway .

Integrate multimodal embeddings (e.g.,

Titan Multimodal

or similar models) to enable high-relevance search across both text and image data.

Develop scalable

REST APIs

for handling semantic queries, sophisticated result ranking, and

hybrid search

(combining semantic relevance with filters).

Collaborate closely with backend and data engineering teams to seamlessly integrate developed AI services into existing enterprise applications.

Lead efforts in search relevance testing, optimization, and comprehensive technical documentation.

Required Skills & Experience

Expert-level proficiency in Python

and developing robust, scalable

REST APIs .

Proven experience

working with

Amazon Bedrock ,

OpenSearch , and various

vector databases

( Weaviate, Pinecone, etc.).

Deep technical understanding of

LLM architectures ,

embeddings , and designing

RAG pipelines .

Practical experience with key

AWS services

including Lambda, API Gateway, S3, and Step Functions.

Demonstrated ability to

evaluate embedding quality , perform iterative tuning, and optimize search relevance.

Strong problem-solving, communication, and collaboration skills, particularly in agile and

fast-paced environments .

Nice-to-Have Qualifications

Familiarity with PostgreSQL or experience using workflow automation tools like n8n.

Experience successfully integrating and deploying AI features into production web or large-scale enterprise systems.

Sesheng Company is an

Equal Opportunity Employer

and values diversity. We encourage all qualified candidates to apply.