Gen AI Engineer

Sasken Technologies; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Sasken Technologies is seeking a GenAI engineer to design, develop and deploy AI-driven solutions. You will work on RAG-based systems, multi-agent architectures, and VectorDB integrations, delivering rapid proofs-of-concept and scalable deployments.

Proficiency in Python and GenAI frameworks, plus hands-on experience with AWS Bedrock and SageMaker, are essential to evaluate performance, latency, and accuracy across deployments.

Qualifications

• Experience in Retrieval Augmented Generation (RAG) based solutions.
• Experience in developing multi-agent solutions using Langchain, AutoGen, Flowise.
• Experience with VectorDBs such as ChromaDB.
• Proficiency in Python and GenAI frameworks.
• Experience evaluating performance, latency, and accuracy of GenAI solutions.
• Experience using cloud services such as AWS Bedrock and AWS SageMaker.

Responsibilities

• Work on GenAI-driven solutions, including building POCs and prototypes rapidly.
• Design, develop, and deploy GenAI solutions across environments.
• Evaluate and optimize performance, latency, and accuracy of GenAI deployments.
• Develop and deploy multi-agent GenAI systems using Langchain, AutoGen, Flowise.
• Leverage VectorDBs like ChromaDB in data retrieval workflows.
• Utilize AWS Bedrock and SageMaker for development and deployment.

Skills

GenAI concepts

Multi-agent systems

Performance evaluation

Python programming

Tools

RAG

Langchain

AutoGen

Flowise

ChromaDB

AWS Bedrock

AWS SageMaker

LLM deployment

Job description

Role & responsibilities

• 1.Experienced in Retrieval Augmented Generation (RAG) based solutions.
• 2. Experienced in developing multi agentic solutions using Langchain, AutoGen, Flowise
• 3. Experienced in VectorDBs such as Chroma DB
• 4. Experienced in using Large Language Models to develop different solutions
• 5. Design, develop, and deploy Gen AI-driven solutions, including building proof-of-concepts (POCs) and prototypes rapidly.
• 6. Proficient in Python and have experience with GenAI fraemeworks for development.
• 7. Experienced in evaluating performance, latency, accuracy of GenAI solutions
• 8. Expereinced in using cloud services such as AWS Bedrock, AWS Sagemaker to develop and deploy GenAI Solutions.