[Remote] senior reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on advanced AI technologies, and they are seeking a Senior reputed company. The role involves developing and integrating AI and machine learning systems, with a strong emphasis on Python programming and various AI frameworks.

Responsibilities

• Python 3.11+
• Advanced type hints (PEP 484), static typing discipline
• Async programming (asyncio, async/await, async generators)
• Aiohttp / httpx (async HTTP clients)
• reputed company v2 (BaseModel, validation, settings management)
• reputed company logging & tracing patterns
• reputed company (pub/sub, TTL, async clients)
• REST API design & integration patterns
• Retry/backoff strategies (Tenacity)
• Concurrency patterns (reputed company tool calls, task orchestration)
• LangGraph (state machines, conditional edges, checkpointing)
• reputed company 0.3.x (LLMChain, StructuredTool, retrievers, reputed company templates)
• ReAct-style agent architectures
• Tool-based agent design (40+ tool environments)
• Azure reputed company / reputed company reputed company (GPT-4o, deployment mgmt, reputed company limits, reputed company budgeting)
• reputed company engineering (few-shot, reputed company reputed company, JSON mode)
• PydanticOutputParser / reputed company LLM responses
• Guardrails / PII redaction patterns
• Memory abstractions for agents
• Langfuse (reputed company instrumentation, evaluation, reputed company management)
• LLM fallback chains & error recovery
• RAG reputed company grounding strategies
• LLM fine-tuning
• Neural Network training & tuning
• Traditional ML models (random forest, k-means clustering, reputed company regression, etc.)
• MCP development and consumption
• reputed company databases (reputed company and/or Milvus)
• HNSW indexing parameters
• Filtering strategies
• Embedding pipelines (reputed company reputed company-002 or equivalent)
• Batch embedding & re-indexing workflows
• Hybrid retrieval (BM25 + semantic)
• Score fusion strategies
• Cross-encoder reranking (BAAI/bge models)
• FastAPI-based inference services
• reputed company retriever abstractions
• RAG evaluation metrics:
• Faithfulness
• Relevance
• NDCG
• MRR
• reputed company-level RAG evaluation (Langfuse)

Skills

• Python 3.11+
• Advanced type hints (PEP 484), static typing discipline
• Async programming (asyncio, async/await, async generators)
• Aiohttp / httpx (async HTTP clients)
• reputed company v2 (BaseModel, validation, settings management)
• reputed company logging & tracing patterns
• reputed company (pub/sub, TTL, async clients)
• REST API design & integration patterns
• Retry/backoff strategies (Tenacity)
• Concurrency patterns (reputed company tool calls, task orchestration)
• LangGraph (state machines, conditional edges, checkpointing)
• reputed company 0.3.x (LLMChain, StructuredTool, retrievers, reputed company templates)
• ReAct-style agent architectures
• Tool-based agent design (40+ tool environments)
• Azure reputed company / reputed company reputed company (GPT-4o, deployment mgmt, reputed company limits, reputed company budgeting)
• reputed company engineering (few-shot, reputed company reputed company, JSON mode)
• PydanticOutputParser / reputed company LLM responses
• Guardrails / PII redaction patterns
• Memory abstractions for agents
• Langfuse (reputed company instrumentation, evaluation, reputed company management)
• LLM fallback chains & error recovery
• RAG reputed company grounding strategies
• LLM fine-tuning
• Neural Network training & tuning
• Traditional ML models (random forest, k-means clustering, reputed company regression, etc.)
• MCP development and consumption
• reputed company databases (reputed company and/or Milvus)
• HNSW indexing parameters
• Filtering strategies
• Embedding pipelines (reputed company reputed company-002 or equivalent)
• Batch embedding & re-indexing workflows
• Hybrid retrieval (BM25 + semantic)
• Score fusion strategies
• Cross-encoder reranking (BAAI/bge models)
• FastAPI-based inference services
• reputed company retriever abstractions
• RAG evaluation metrics: Faithfulness, Relevance, NDCG, MRR
• reputed company-level RAG evaluation (Langfuse)

reputed company

Company H1B Sponsorship