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AI Engineer

ITBMS Inc.Los Angeles, CA🇺🇸United States

Why this role stands out

This role offers a fantastic opportunity to shape the future of entertainment technology by building production-ready Generative AI applications within a collaborative, innovative team. You will thrive here if you are a forward-thinking engineer passionate about fine-tuning LLMs and mastering RAG pipelines, all while enjoying the flexibility of a hybrid work environment. Apply today to accelerate your career and make a tangible impact at the forefront of AI development.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationLos Angeles, CA, United States
DockerFastAPIFlaskMicroservicesAWSMLOpsNLPAzureGenerative AIGitGoogle CloudKubernetesLLMPythoniOSAndroid

Job description

Job Title : AI Engineer
Location: Los Angeles, CA
Primary Skill : Generative AI, fastapi, Flask
Job Description :

Key Responsibilities Application Development & Integration: Build, test, and maintain production-ready GenAI applications using Lang Chain, Llama Index, Python, and microservices architectures. Implement high-accuracy Retrieval-Augmented Generation (RAG) pipelines for content metadata, sports stats, and knowledge bases. Integrate LLM endpoints into DirecTV s client applications (Gemini OS, iOS, Android, Smart TV apps) via RESTful APIs and WebSockets. Model Fine-Tuning & Evaluation: Fine-tune open-source models (Llama, Mistral) using LoRA/ QLoRA techniques for specialized entertainment and customer care domain tasks.Set up automated evaluation suites (using frameworks like Ragas, TruLens) to measure hallucination rates, latency, relevance, and response accuracy. Prompt Engineering & Orchestration: Develop, optimize, and version-control complex prompts and agent workflows. Implement fallback logic, circuit breakers, and guardrails (NeMo Guardrails, Guardrails AI) to ensure safe, reliable user interactions. Operations & Collaboration: Collaborate with MLOps and Cloud Engineers to set up continuous deployment pipelines (CI/CD) for model artifacts and vector index refreshes. Monitor production inference latency, token usage, and error logs to maintain system reliability.

Qualifications & Requirements

Education: Bachelor s or master s degree in computer science, Data Science, AI, or Software Engineering. Experience: 3+ years in software engineering with at least 1.5 2 years building and deploying Generative AI or NLP applications in production environments. Technical Skills:Strong proficiency in Python and modern API development (FastAPI, Flask).Hands-on experience with LLM frameworks (LangChain, LlamaIndex), Vector Databases (Pinecone, Chroma, Qdrant), and OpenAI/Bedrock APIs. Experience with git workflow, Docker, Kubernetes, and cloud deployment on AWS, Google Cloud Platform, or Azure. Mindset: Strong problem-solving skills, quick adapter to fast-moving AI frameworks, and passion for entertainment and video technologies.

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