Shared jobLead GenAI Engineer
Pune · Senior
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LOW
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First 72 hours
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Skills required
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Job description
- Architect and lead the development of end-to-end GenAI systems, covering everything from data ingestion to deployment and observability.
- Build and scale solutions using Amazon Bedrock and SageMaker JumpStart, while integrating complementary services like OpenSearch Serverless.
- Drive technical direction for complex RAG architectures (GraphRAG, agentic RAG) and multi-agent orchestration.
- Lead and mentor a team of AI engineers and data scientists, growing their technical depth through design and code reviews.
- Own the "FinOps" of our GenAI workloads-managing token economics, caching strategies, and provisioned throughput to keep costs in check.
- Ensure enterprise-grade security and compliance by strictly applying AWS best practices (IAM least-privilege, KMS encryption, VPC isolation).
- 5-9 years in software engineering, ML, or data science, including 1-2+ years operating in a lead or architectural role.
- 2+ years of hands-on experience actively shipping Generative AI products into production.
- AWS Mastery: Extensive, hands-on experience provisioning and scaling models via Amazon Bedrock and SageMaker, alongside strong Infrastructure-as-Code skills (Terraform, CDK).
- High-level proficiency in Python, the AWS SDK (boto3), and building asynchronous APIs (like FastAPI).
- Expertise in agentic workflows (LangGraph, CrewAI) and prompt engineering at scale.
- Excellent communication skills with the ability to translate technical trade-offs to executives and business stakeholders.
- Active AWS Certifications (e.g., AWS Certified Machine Learning - Specialty, or Solutions Architect).
- Experience fine-tuning models or managing custom model deployments on Bedrock.
- A background working in regulated industries (healthcare, finance) where navigating strict data privacy compliance is crucial.
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