AES DE Generative AI Application Developers

Description

Key Skills Required

• Core Engineering
  • Strong Python; TypeScript / a plus
  • REST / gRPC API design async programming FastAPI or equivalent
  • Experience building cloud-native microservices
  • Hands-on experience with Kafka-based event-driven architecture
  • Practical understanding of Domain-Driven Design (DDD) concepts
  • Git GitHub Actions FluxCD GitOps workflows
  • Docker Kubernetes Helm
• GenAI / LLM Development
  • Hands-on with LLM APIs (OpenAI Anthropic Azure OpenAI open-source models)
  • Prompt engineering prompt versioning structured output (JSON schema Pydantic)
  • RAG pipeline implementation chunking embeddings vector stores (pgvector FAISS Pinecone Weaviate)
  • Function calling tool use and agent loops
• Agentic Frameworks & Tooling
  • LangChain LlamaIndex LangGraph AutoGen CrewAI or equivalent
  • MCP server/client implementation
  • Familiarity with Speckit GitHub Copilot extensions Figma MCP integration
  • Experience building coding agents review agents or test-generation agents
• Evaluation & Guardrails
  • Working knowledge of eval frameworks (Ragas DeepEval promptfoo LangSmith)
  • Guardrail implementation (NeMo Guardrails Guardrails AI custom validators)
  • Observability: LangFuse OpenTelemetry token/cost dashboards
• Data & Integration
  • SQL and NoSQL basics; data pipelines for ingestion and indexing
  • Integration with enterprise systems (Jira Confluence GitHub Artifactory)
  • Cloud services (Azure / AWS / GCP) storage compute identity
• Soft Skills
  • Collaborative team player; works closely with the Solution Architect and AI/ML Engineer
  • Quick learner who stays current with the fast-moving GenAI ecosystem
  • Strong ownership ships production-grade code not prototypes.

Responsibilities

Part of Agentic AI team

Qualifications

BE Computer 4-8 years of experience

Required Experience:

IC

Employment Type : Full Time
Experience: years
Vacancy: 1