
Enterprise AI Strategist
3 days ago
Job Opportunity:
We are seeking a skilled professional to design, develop, and deploy innovative AI solutions. The ideal candidate will have expertise in Large Language Models (LLMs), Reinforcement Agent Guidance (RAG), and scalable AI architecture.
Key Responsibilities:
- Design and implement secure, scalable AI solutions using LLMs (GPT, Claude, LLaMA, Mistral).
- Develop RAG pipelines with LangChain, LlamaIndex, FAISS, Weaviate, ElasticSearch.
- Lead prompt engineering and set up evaluation frameworks for accuracy & safety.
- Develop reusable AI modules (function calling, summarization, document chat, Q&A).
- Deploy workloads on cloud platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
- Ensure monitoring & observability with Grafana, Prometheus, OpenTelemetry.
- Apply MLOps best practices (CI/CD, model versioning, rollback).
- Research emerging trends (multi-agent systems, autonomous agents, fine-tuning).
- Implement data governance & compliance (PII masking, audit logs, encryption).
Requirements:
- 8+ years in AI/ML, including 2–3 years in LLMs / GenAI.
- Strong coding skills in Python with Hugging Face Transformers, LangChain, OpenAI SDKs.
- Expertise in Vector Databases (Pinecone, FAISS, Qdrant, Weaviate).
- Hands-on experience with cloud AI platforms – AWS SageMaker/Bedrock, Azure OpenAI, GCP Vertex AI.
- Experience building RAG pipelines & chat-based applications.
- Familiarity with agents, orchestration frameworks (LangGraph, AutoGen, CrewAI).
- Knowledge of MLOps stack (MLflow, Airflow, Docker, Kubernetes, FastAPI).
- Understanding of prompt security (injection mitigation, hallucination control).
- Experience in LLMOps & GenAI evaluation metrics (BERTScore, BLEU, GPTScore).
- Excellent communication & leadership skills for architecture discussions and mentoring.
Benefits:
The ideal candidate will have the opportunity to work on cutting-edge AI projects, collaborate with experienced professionals, and develop their skills in a dynamic and innovative environment.
What We Offer:
* Opportunity to work on high-impact AI projects
* Collaborative and dynamic work environment
* Professional development and growth opportunities
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