Job Closed
Senior Full Stack AI Engineer
- Source: LinkedIn
- Evoke Technologies
- Remote
- Hyderabad
- Full-Time
- Senior
Job Description
- AI & Cloud Platforms: Hands-on experience with AWS Bedrock; familiarity with LLM architectures and foundational models.
- RAG & Prompt Engineering: Proficiency implementing retrieval-augmented generation (RAG) systems and crafting high-quality prompts for LLM interactions.
- AI Orchestration / Agentic Workflows: Proven experience designing and implementing agentic workflows and multi-agent systems using modern orchestration frameworks (e.g., LangGraph, LlamaIndex), including tool calling, workflow routing, and structured task decomposition.
- LLMOps / Evaluation & Observability: Strong experience across the LLMOps lifecycle, including automated prompt/model evaluation and benchmarking (e.g., promptfoo), and production observability, tracing, and debugging
- AI Governance / Guardrails & Security: Demonstrated ability to implement AI guardrails and safety controls to mitigate prompt injection, prevent sensitive data leakage, enforce policy-based outputs, and ensure secure AI integrations in production environments.
- Web Technologies: Strong skills in full-stack development using modern frameworks (e.g., JavaScript/TypeScript – React, Angular, Node.js), RESTful APIs, HTML5, and CSS3.
- Backend Systems: Experience with Java, Spring Boot, Python, for building backend services.
- Cloud & DevOps: Familiarity with serverless and containerized deployments (e.g., AWS Lambda, ECS/Fargate), CI/CD pipelines (GitHub Actions, Maven, Gradle, Bamboo), and infrastructure as code.
- Data & APIs: Comfortable integrating AI models with data sources, microservices, and external APIs; experience with JSON, HTTP, and API authentication patterns.
- Databases: Hands-on development experience using RDBMS/SQL databases (e.g., MySQL, PostgreSQL, Oracle) and NoSQL databases (e.g., MongoDB, DynamoDB), including schema design, query optimization, and integration with web applications and AI-driven services.
- Testing & Quality: Experience writing automated tests (unit, integration), performance profiling, and production monitoring.
- AI-Assisted Development Tools: Hands-on experience using AI development assistants (e.g., GitHub Copilot, Amazon Q Developer, AWS Kiro, Cursor, JetBrains AI, VS Code AI extensions) to accelerate development, improve code quality, and support productivity in day-to-day engineering workflows.
- Agile / Product Delivery: Demonstrated experience delivering software in an Agile Scrum / product delivery environment, including story estimation, sprint execution, backlog refinement, collaboration with Product Owners, and continuous improvement practices.
Skills
- amazon-web-services
- bedrock
- LangGraph
- LlamaIndex
- guardrails
- javascript
- TypeScript
- microsoft-typescript
- React
- NodeJS
- HTML5
- css-3
- Java
- spring
- spring-boot
- Python
- serverless
- aws-lambda
- amazon-ecs
- aws-fargate
- Github
- github-actions
- apache-maven
- Gradle
- bamboo
- JSON
- mysql
- PostgreSQL
- oracle
- MongoDB
- gitHub-copilot
- aws-copilot
- Cursor
- visual-studio-code
This job is no longer accepting applications.
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