AIML Bedrock
- Qentelli
- 8 - 13 years
- Hyderabad
- 15 days ago
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Job Description
Job Summary
We are seeking an experienced AI/ML Engineer with strong hands-on expertise in AWS Bedrock, Generative AI, LLM Agents, and Python-based AI development. The ideal candidate will have a solid foundation in machine learning along with practical exposure to building, deploying, and scaling GenAI solutions in a service-based environment.
This role involves working closely with cross-functional teams, understanding business needs, and delivering AI-driven solutions that enhance automation, insights, and customer experience.
Roles and Responsibilities
AI/ML & GenAI Development
- Design, build, and deploy GenAI applications and LLM-powered agents using AWS Bedrock.
- Develop prompt-engineered workflows, RAG pipelines, embeddings, and agentic automation.
- Implement scalable ML models using Python, ensuring efficiency, accuracy, and production readiness.
AWS Cloud & AI Platform Integration
- Work with AWS services such as Bedrock, Lambda, S3, Glue, API Gateway, DynamoDB for AI workflows.
- Integrate LLMs into existing applications using APIs, SDKs, and cloud-native tools.
- Optimize model performance, latency, cost, and reliability on AWS.
Solution Engineering & Delivery
- Understand client requirements and translate them into AI/ML solution designs.
- Build POCs, prototypes, and production-ready AI solutions for multiple client projects.
- Support post-deployment tasks including fine-tuning, versioning, and improvements.
Collaboration & Stakeholder Management
- Work with data engineers, product teams, and delivery managers to build cohesive AI-driven systems.
- Participate in requirement discussions, solution reviews, and architectural decisions.
- Communicate insights, model outputs, and recommendations clearly to technical and non-technical stakeholders.
Quality, Documentation & Governance
- Maintain clean code, detailed documentation, and model governance best practices.
- Ensure compliance with data privacy, security, and responsible AI guidelines.
- Monitor model performance and continuously improve AI pipelines.
Required Skills and Qualification
- 8+ years of overall technology experience, with 4+ years in AI/ML development.
- Strong experience with AWS Bedrock, GenAI models, LLM Agents, and AI workflows.
- Hands-on expertise in Python (NumPy, Pandas, scikit-learn, LangChain, etc.).
- Experience with building AI microservices, APIs, or cloud-based applications.
- Good understanding of ML algorithms, NLP, vector stores, embeddings, and AI evaluation.
- Experience working in a service-based delivery model supporting multiple client projects.
- Strong communication and problem-solving skills.
Preferred Skills
- Experience with RAG frameworks, LangChain, LangGraph, or LlamaIndex.
- Exposure to AWS SageMaker, Step Functions, or MLOps pipelines.
- Knowledge of A/B testing, model observability, and prompt optimization.
- Prior client-facing experience.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: IT & Information SecurityRole Category: IT & Information Security - OtherRole: IT & Information Security - OtherEmployement Type: Full timeContact Details:
Company: QentelliLocation(s): Hyderabad
Keyskills: bedrock Amazon bedrock Artificial Intelligence AIML Machine Learning AWS bedrock
Qentelli
Qentelli at Glance:- Qentelli is a technology company that accelerates digital transformation and cloud transformation journeys through DevOps, Automation, Agile transformation, AI and Deep learning. Forrester recently recognized our efforts at using AI and ML in the augme...
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