AI Implementation Engineer

Angel and Genie; Bengaluru; On-site; INR 1,100,000 - 1,900,000; Full time

Job summary

Angel and Genie in Bengaluru is looking for an AI/ML solution engineer to design and implement generative AI applications using Amazon Bedrock and foundation models. You will integrate Bedrock with AWS services such as Lambda, S3, API Gateway, and SageMaker, and craft prompts and workflows for production systems.

You will build scalable AI pipelines with IaC tools, maintain security and governance, and work with product and customer teams to deliver impactful GenAI solutions.

Qualifications

• 3–5 years in AI/ML solution implementation or cloud engineering.
• Hands-on with Amazon Bedrock and foundation models via APIs.
• Proficient in Python, JSON, REST APIs, and prompt engineering.
• Familiar with AWS core services (Lambda, S3, API Gateway, IAM).
• Experience deploying apps with CI/CD pipelines and IaC tools.
• Strong problem-solving and communication skills.

Responsibilities

• Design and implement generative AI apps using Bedrock and foundation models.
• Integrate Bedrock with AWS services (Lambda, S3, API Gateway, IAM).
• Develop prompts, chaining logic, and response parsing.
• Build scalable AI pipelines with IaC and CI/CD.
• Monitor security, governance, and cost of AI deployments.

Skills

AI/ML implementation

Python

JSON

REST APIs

Prompt engineering

CI/CD

IaC

AWS services

Communication

Problem-solving

Tools

Bedrock API

Terraform

CloudFormation

SageMaker

GenAI tools

Job description

Responsibilities:

AI/ML Solution Implementation

Design and implement generative AI applications using Amazon Bedrock and foundation models like Anthropic Claude, Mistral, Cohere, and others.
Integrate Bedrock with other AWS services (e.g., Lambda, S3, API Gateway, Step Functions, SageMaker).
Develop and manage prompts, chaining logic, and response parsing for AI applications.

Client Delivery & Enablement

Collaborate with product and customer teams to gather requirements and define AI-driven solution architectures.
Support PoCs, pilots, and production-grade deployments using AWS-native services.
Educate stakeholders on Bedrock’s capabilities and best practices for GenAI integration.

Infrastructure & Deployment

Build and deploy scalable and secure AI pipelines using IaC tools (e.g., CloudFormation, Terraform).
Ensure proper monitoring, logging, and alerting for deployed models and endpoints.
Optimize AI service costs and performance.

Security & Governance

Implement fine-grained access controls using IAM roles and policies.
Ensure compliance with data privacy, security standards, and model governance frameworks.

Qualifications:Must-Have:

• 3-5 years of experience in AI/ML solution implementation or cloud engineering roles.
• Strong hands-on experience with Amazon Bedrock and deploying foundation models via APIs.
• Proficiency with Python, JSON, REST APIs, and prompt engineering techniques.
• Familiarity with AWS core services (e.g., Lambda, S3, API Gateway, IAM).
• Experience deploying applications using CI/CD pipelines and IaC tools.
• Strong problem-solving and communication skills.

Nice-to-Have:

• Experience with other GenAI platforms (e.g., OpenAI, Azure OpenAI, LangChain, RAG frameworks).
• Knowledge of vector databases (e.g., Amazon Kendra, Pinecone, OpenSearch with vector search).
• Background in NLP, transformers, or LLM fine-tuning (even at a basic level).
• AWS certifications (e.g., Solutions Architect Associate, Machine Learning Specialty).