AI Engineer
Micropolis Robotics
Employer Active
Posted on 30 Oct
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Design, build, and operate a production server side AI assistant that:
Answers questions grounded in user scoped data (docs, tables) with citations where applicable
Performs actions by calling internal/external APIs securely on the user s behalf
Supports low latency, real time voice chat (streaming STT/TTS + incremental LLM responses)
Implement the tool/agent layer:
Structured tool calling (JSON schema based) to integrate business services
Model Context Protocol (MCP) servers/clients where appropriate for tool discovery and execution
Architect retrieval augmented generation (RAG):
Ingestion for documents and tables, parsing, chunking, embeddings, metadata, and indexing
Hybrid retrieval (sparse+dense), query rewriting, and answer attribution
Deliver performant, cost e cient inference on open source models:
Model selection/routing; context management; caching/batching; streaming token delivery
GPU utilization and serving via vLLM/TGI/llama.cpp/Ollama or similar
Build resilient APIs and real time integrations:
WebSockets/WebRTC/gRPC for streaming voice; REST/GraphQL for control and orchestration
Productionize and operate on server/on prem:
Containerize with Docker; automate CI/CD; implement logs/metrics/traces (OpenTelemetry)
Evals, A/B tests, safety/guardrails, and human in the loop feedback
Desired Candidate Profile
Required Skills and Experience
- Proficiency in Python
- Open source LLMs and serving:
- Experience with models like Llama, Mistral/Mixtral, Qwen, etc.
- Serving stacks: vLLM, Text Generation Inference (TGI), llama.cpp, Ollama
- Prompt engineering, routing, context/window management
- RAG and data systems:
- Vector DBs (like FAISS, Qdrant, Weaviate, Milvus, pgvector) and hybrid search
- Document/table ingestion and normalization; schema/metadata design
- Real time voice:
- STT/TTS (e.g., Whisper/faster whisper, Vosk, Coqui TTS, Piper) with streaming pipelines
- Low latency streaming via WebSockets/WebRTC/gRPC
- Tooling for actions:
- Structured tool/function calling, API design/integration, and service orchestration
- Familiarity with Model Context Protocol (MCP) concepts and usage
- Deployment and operations (on prem rst):
- Docker, Linux, networking, and secure service deployment
- GPU stacks (CUDA/drivers/containers) and performance tuning
- Excellent communication, documentation, and cross functional collaboration
Preferred Skills
- Agents/frameworks: LangChain, LlamaIndex, Semantic Kernel, or custom tool routers
- Advanced retrieval: multi vector stores, RRF/hybrid search, query planning, re ranking
- SQL generation and safe execution over tabular data; row level security; schema mapping
- Document processing: OCR, table extraction, CSV/Parquet pipelines
- Serving/perf: Triton, quantization (GGUF/GGML), LoRA/QLoRA with PEFT, KV cache optimizations
- Evals and observability: Ragas/DeepEval, Langfuse/PromptLayer, OpenTelemetry
Company Industry
Department / Functional Area
Keywords
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Micropolis Robotics
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