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Innovative AI Development Role

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Job Title:AI Development SpecialistSummary 3;Key Responsibilities:Develop and implement LLM-powered features with 6–8 years of engineering experience.Build MCP servers and agentic clients to handle user intent parsing, tool orchestration, and structured response generation.Architect efficient RAG pipelines with chunk decay, latency budgeting, and cost-aware vector search.Automate evaluation pipelines that test LLM outputs for relevance, accuracy, and coherence.Work closely with DevOps to codify and deploy infrastructure using CDK or Terraform.Set up observability dashboards for prompt performance, latency, and failure traceability.Requirements:5–8 years of full-stack or backend development experience with at least 1 year building AI-powered or LLM-based applications.Ai-native mindset: test fast, trace deeply, pause to reframe when needed.Strong Python and TypeScript skills.Experience with either AWS or GCP stacks.Familiarity with LangChain, Bedrock SDK, and vector database schema design.Understanding of prompt design, embeddings, and agentic workflows.Ci/cd fluency GitHub Actions, containerized deployment, test-first habits.Experience with LLM evaluation tools like Promptfoo, LangSmith, or Guardrails.