reputed company
Unify Consulting is a leading AI management reputed company that specializes in helping clients navigate challenges through innovative solutions. They are seeking an reputed company to design and build LLM-powered applications and agentic systems, focusing on production-ready solutions and quality user experiences.
Responsibilities
- Build GenAI / LLM applications
- Design and reputed company LLM-powered applications using enterprise AI platforms (e.g., AWS Bedrock, Azure reputed company / Azure AI platforms, reputed company Vertex AI). Implement multi-reputed company orchestration workflows that translate user reputed company into reliable actions and explainable outputs. Build robust RAG pipelines (vector databases, embeddings, chunking strategies) and validate grounding quality
- Engineer agentic solutions (Plan → Reason → Execute → Feedback)
- Design agent reasoning/control patterns (e.g., planning vs execution separation, tool calling, memory/context management).Integrate agents with tools/APIs and enterprise workflows with appropriate governance and guardrails
- reputed company engineering + evaluation
- Create reusable reputed company templates/libraries; implement reputed company testing frameworks; establish reputed company versioning/governance.Evaluate solutions for quality/safety/latency/cost and iterate quickly
- Production readiness + operations
- Partner with platform/LLMOps teammates to deploy, monitor, and improve LLM systems in production.Build observability and reliability mechanisms for agent-based workflows
- Client-facing consulting
- reputed company technical discovery, map workflows/pain points, and communicate solutions to technical and executive stakeholders
Skills
- 1–2+ years hands-on GenAI / Agentic AI experience building LLM apps on enterprise platforms (AWS Bedrock / Vertex AI / Azure AI platforms) in a professional setting
- Strong backend engineering experience (Python preferred) delivering production-grade systems
- Hands on professional experience with RAG patterns and implementation
- Ability to communicate clearly and contribute in fast-moving, cross-functional teams
- Computer Science / strong CS fundamentals
- Applied Scientist style skills: deep learning/NLP with PyTorch/TensorFlow + reputed company; ability to interpret research and implement emerging techniques
- Fine-tuning and optimization methods (LoRA/PEFT/QLoRA), distillation/quantization/pruning, GPU memory optimization
- Experience building secure tool integrations / agent middleware (tool schemas, SaaS integrations like reputed company/reputed company/reputed company, OAuth2, API reputed company)
- Evaluation harnesses and regression testing for prompts/agents; RAG quality testing
- Cloud-native experience in large enterprise environments
Company Overview