Empower Solutions is looking for an

AI Engineer / GenAI Engineer with strong hands-on 3+ years of experience in

Agentic AI, LLM-based applications, Python, AWS AI/ML services, and data engineering

. The candidate should be capable of designing, developing, integrating, and deploying AI-powered solutions in a production environment.

Key Responsibilities

- Design and develop

Agentic AI solutions

, AI agents, multi-step workflows, and tool/function calling.

- Build

LLM-based applications using OpenAI, Anthropic, AWS Bedrock, or similar platforms.

- Develop

RAG, knowledge-based AI solutions, prompt engineering, embeddings, and vector search

.

- Work extensively with

AWS AI/ML services

, particularly:

- AWS Bedrock

- Amazon Textract / OCR

- Amazon SageMaker

- Amazon Comprehend and other relevant AI services

- Develop AI/ML backend services and integrations using

Python and frameworks such as FastAPI/Flask.

- Design and maintain

ETL/data pipelines for AI and business applications.

- Work with databases including

DynamoDB, PostgreSQL

, and other relational/NoSQL databases.

- Integrate structured and unstructured data into AI pipelines and knowledge systems.

- Build and maintain

REST APIs and microservices supporting AI solutions.

- Implement CI/CD pipelines using

Git/Bitbucket

, Docker, and cloud deployment practices.

- Work with AWS services such as

Lambda, S3, SQS, SNS, ECS/EKS, API Gateway, CloudWatch

, and other supporting services.





- Implement monitoring, logging, security, scalability, and performance optimization for AI applications.

- Collaborate with engineering and business teams to convert use cases into scalable AI solutions.

Required Skills

- Strong hands-on

Python development experience.

- Practical experience with

Generative AI and LLMs

.

- Strong understanding and hands-on experience with

Agentic AI / AI Agent development

.

- Experience with

AWS Bedrock and other AWS AI/ML services.

- Experience with

OCR / document processing

, preferably Amazon Textract.

- Experience building

RAG and LLM-powered applications

.

- Positive knowledge of

DynamoDB and PostgreSQL

.

- Experience with

ETL/data pipelines and data processing

.

- Experience with

Git/Bitbucket and CI/CD pipelines

.

- Positive understanding of REST APIs, microservices, Docker, and cloud-based application deployment.

- Strong problem-solving and software engineering skills.

Good to Have

- Experience with

LangChain, LangGraph, LlamaIndex, CrewAI, or similar frameworks

.

- Experience with vector databases such as pgvector, Pinecone, OpenSearch, Qdrant, or similar

.

- Experience with AWS Lambda, S3, SQS, Step Functions, ECS/EKS, API Gateway, and CloudWatch.

- Exposure to

Machine Learning / ML model integration

.

- Experience with AI evaluation, observability, security, and cost optimization.

📌 AI Engineer / GenAI Engineer (Indore)
🏢 Empower Solutions
📍 Indore