Job Description
Core Skill Set:
Python (advanced, production-grade coding)
Generative AI (LLMs, prompt engineering, fine-tuning, RAG)
Agent development using frameworks such as ADK, LangGraph, LangChain
Additional Relevant Skills:
Experience building end-to-end AI applications (design → deploy → scale)
Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, FAISS)
API development and integration (FastAPI, REST, microservices)
Cloud platforms: AWS / Azure / GCP (especially AI/ML services)
Model evaluation, guardrails, and Responsible AI practices
Experimentation frameworks, prompt/version management, and observability
Working knowledge of data pipelines and engineering (ETL, streaming)
Familiarity with MLOps / LLMOps (CI/CD for models, monitoring, retraining)
Strong problem-solving with ability to translate business use cases into AI solutions
Compensation, Benefits and Duration
Minimum Compensation: USD 35,000 Maximum Compensation: USD 123,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post