ZoftSolutions - AWS AI Engineer

Description :

Must-Have Skills :

- LLM / Generative AI engineering : prompt engineering, structured outputs (JSON), grounding, evaluation

- Agentic systems : orchestration patterns (planner/router, fan-out/fan-in, tool calling), state handling

- AWS hands-on with serverless patterns :

1. Lambda, API Gateway, Step Functions

2. S3, DynamoDB

3. CloudWatch (logs/metrics), IAM

- Amazon Bedrock experience (or equivalent LLM platform) : model invocation, guardrails/safety patterns

- Data access from modern stores (preferably Redshift/Aurora) + basic SQL

- Designing robust workflows : retries, idempotency/correlation IDs, error handling, observability

Preferred Skills :

- Speech + NLP services : Transcribe / Comprehend (post-call automation scenarios)

- ML deployment (optional components) : SageMaker training/inference, model registry

- Compliance / regulated-domain systems (Pharma/Healthcare) : MLR checks, audit trails, traceability

- QuickSight integration (embedding, dashboards, actions, dataset refresh patterns)

- CI/CD exposure : CodePipeline/GitHub Actions, IaC (CDK/Terraform), multi-env deployments

- Performance optimization : caching, query tuning, prompt optimization, latency/cost trade-offs

Behavioral Skills :

- Strong communication : should be able to understand and explains architecture clearly

- Collaboration-first : works well with Data/UI/DevOps engineers

- Quality-focused : writes maintainable code, documents decisions, tests critical paths

- Comfort in ambiguity : can iterate quickly with feedback and evolving requirements