Ai Ml Engineer

AI/ML Engineer (AWS Bedrock | GenAI | Agents | Python)

Exp.: 8+ years (4+ years in AI/ML)

Work Location: Hyderabad

Work Timing: General

Work Mode: Hybrid

Position Type: Permanent (Fulltime)

Notice Period: Immediate

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.

KEY 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.

• Define and lead architecture for EAS Concur/GP/CashWire, selecting integration patterns

(REST/SOAP APIs, SFTP/flat-file, webhooks), resiliency (retries, dead-lettering), performance

targets, and security controls (TLS, OAuth2, key rotation).

REQUIRED SKILLS & EXPERIENCE:

• 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.

GOOD TO HAVE:

• 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.