Location
Remote
Job Type
Full-time
Posted
July 09, 2026
Job Description
Key Responsibilities:
- Build and deploy scalable LLM, RAG, and agent-based systems.
- Architect LLM inference and deployment pipelines.
- Optimize models for efficient and cost-effective production.
- Collaborate with data science, research, and product teams.
- Ensure clean code, testing, reproducibility, and CI/CD.
- Mentor junior engineers and drive engineering best practices.
- Ensure ethical, secure, and responsible AI development. Required Skills:
- Advanced Python with strong fundamentals in NumPy, Pandas, scikit-learn.
- Deep learning expertise in PyTorch / TensorFlow.
- Hands-on with LLM frameworks: Hugging Face Transformers, LangChain (prompting & fine-tuning).
- Strong experience with Agentic AI frameworks: AutoGen, CrewAI, LangGraph.
- Expertise in RAG pipelines, semantic search, vector databases.
- Strong software engineering practices: microservices, TDD, concurrency.
- Ability to rapidly prototype and productionize...
- Build and deploy scalable LLM, RAG, and agent-based systems.
- Architect LLM inference and deployment pipelines.
- Optimize models for efficient and cost-effective production.
- Collaborate with data science, research, and product teams.
- Ensure clean code, testing, reproducibility, and CI/CD.
- Mentor junior engineers and drive engineering best practices.
- Ensure ethical, secure, and responsible AI development. Required Skills:
- Advanced Python with strong fundamentals in NumPy, Pandas, scikit-learn.
- Deep learning expertise in PyTorch / TensorFlow.
- Hands-on with LLM frameworks: Hugging Face Transformers, LangChain (prompting & fine-tuning).
- Strong experience with Agentic AI frameworks: AutoGen, CrewAI, LangGraph.
- Expertise in RAG pipelines, semantic search, vector databases.
- Strong software engineering practices: microservices, TDD, concurrency.
- Ability to rapidly prototype and productionize...
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