Generative AI Engineer

Generative AI Engineer

C2C

Los Angeles, CA

Visa: Any

Job Summary: Generative AI Engineer responsible for building and deploying production-ready GenAI applications, RAG pipelines, LLM integrations, model fine-tuning, prompt workflows, and AI evaluation solutions for entertainment and customer care use cases. Key Responsibilities Application Development & Integration Build, test, and maintain GenAI applications using Python, LangChain, LlamaIndex, and microservices. Develop high-accuracy RAG pipelines for content metadata, sports statistics, and knowledge bases. Integrate LLM endpoints with client applications across Gemini OS, iOS, Android, and Smart TV using REST APIs and WebSockets. Model Fine-Tuning & Evaluation Fine-tune open-source models such as Llama and Mistral using LoRA/QLoRA. Build automated evaluation suites using tools such as Ragas and TruLens to measure hallucinations, latency, relevance, and response accuracy. Prompt Engineering & Orchestration Develop, optimize, and version-control prompts and AI agent workflows. Implement fallback logic, circuit breakers, and guardrails using NeMo Guardrails or Guardrails AI. Operations & Collaboration Work with MLOps and Cloud Engineering teams to support CI/CD for model artifacts and vector index updates. Monitor production inference latency, token usage, errors, and overall system reliability. Required Skills Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Software Engineering, or related field. 3+ years of software engineering experience, including 1.5–2+ years building and deploying Generative AI or NLP applications in production. Strong Python development and modern API development using FastAPI or Flask. Hands-on experience with LangChain and LlamaIndex. Experience with vector databases such as Pinecone, Chroma, or Qdrant. Experience with OpenAI or Amazon Bedrock APIs. Experience with Git workflows, Docker, Kubernetes, and cloud deployment on AWS, GCP, or Azure. Strong problem-solving skills and ability to adapt to rapidly evolving AI technologies. Interest in entertainment and video technologies.

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