AES - DE - Generative AI Application Developers

Key Skills Required

• Core Engineering
• Strong Python; TypeScript / Node.js 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.

Part of Agentic AI team

BE Computer, 4-8 years of experience