Generative AI Engineer

Senior AI Engineer — Agentic AI Platform

Location: Gachibowli, Hyderabad

Job Type: Full Time

About Clovertex

At the intersection of science and technology, Clovertex is a Life Sciences Systems Integrator specializing in architecting, building, automating, and managing scientific applications, databases, data lakes, and workflows using cloud computing technologies.

Clovertex is an AWS Advanced Tier Partner with deep expertise in Life Sciences, Scientific Computing, Cloud Engineering, Data Engineering, Bioinformatics, Artificial Intelligence, and Generative AI.

To learn more about us, visit: www.clovertex.com

Position Summary:

Lead the design and delivery of production-grade Agentic AI solutions on AWS , including NL-to-SQL and onboarding agents using Amazon Bedrock AgentCore. Drive secure RAG, guardrails, HITL, evaluation, and observability while leading a small engineering pod and collaborating directly with client architecture and security teams. HCLS/Life Sciences delivery experience is mandatory , across pharma, biotech, CRO, or health systems, with a Bioinformatics background strongly preferred .

Job Description

• Hands-on AWS in production, AWS Well-Architected, IAM depth, Terraform
• Amazon Bedrock: AgentCore (Runtime, Gateway, Identity, Observability), Knowledge Bases, Guardrails
• Python agent frameworks — Strands Agents SDK preferred; LangGraph or CrewAI with production depth
• End-to-end RAG: chunking, embeddings, hybrid retrieval, reranking, grounding and citation
• NL-to-SQL against an analytical warehouse: schema grounding, query validation, safety gating
• User-facing agents in production: SSE streaming, human-in-the-loop approval gates, session state
• Strong Python (async, typing, pytest), FastAPI, Docker, ECS/Fargate or Lambda
• Agent evaluation and observability: golden datasets, regression suites, tracing, cost attribution
• LLM security: prompt injection, tool-mediated exfiltration, OWASP Top 10 for LLM Applications
• HCLS / life sciences delivery experience — pharma, biotech, CRO, or health system
• Leads 2–3 engineers and runs technical discussions directly with client architects and security teams

Good to Have

• Amazon Redshift: Serverless, Spectrum, row-level security, Data API
• Data lake governance: Lake Formation, S3 Access Grants, IAM Identity Center, Entra ID / SCIM
• GxP and non-GxP compliance in regulated pharma, applied to AI systems
• AWS HealthOmics
• Policy-as-code authorization: Amazon Verified Permissions / Cedar
• React 19 + TypeScript; CopilotKit, AG-UI, or similar chat framework
• Cancer genomics data: cBioPortal, MAF/VCF, OncoTree
• AWS certification: Solutions Architect Professional or ML Engineer / Specialty
• Experience of leading small teams

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Bioinformatics, or a related field.
• Experience with AI/ML, Data Science, Software Development, or related areas.
• Strong programming skills in Python.
• Experience with Machine Learning, Deep Learning, NLP, and Generative AI.

Equal Opportunity Employer

Clovertex is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We value diversity and encourage candidates from all backgrounds to apply.

Join Us

Join Clovertex and contribute to building next-generation AI solutions that transform Healthcare, Biotechnology, and Life Sciences. If you are passionate about Generative AI, Agentic AI, Cloud Computing, and solving real-world challenges, we would love to hear from you.