Sr Software Engineer II, AI

Sourced from feeny.ai

LG Ad Solutions is hiring a senior AI platform engineer to build the in-house platform powering generative AI agents across the business. You will work across the full stack, including LLM serving and inference, RAG pipelines, evaluation harnesses, and the APIs and infrastructure that put agents into production. The role is hands-on, requiring production Python, AWS Bedrock and vector store integrations, observability instrumentation, and latency/throughput/cost tuning. This is an on-site role (4 days/week) in Denver or NYC with no relocation support.

• Build and maintain LLM-powered services and APIs using FastAPI, webhooks, and LangGraph
• Develop evaluation harnesses and offline/online eval pipelines to track quality regressions and hallucination rates
• Instrument services with logging, tracing, and metrics for observability
• Design AI agents with intent recognition and complex query decomposition
• Implement context engineering techniques for short- and long-term memory and knowledge bases
• Integrate agents with internal systems (ACR, Mosaic, Salesforce) and third-party services
• Collaborate with product and business teams to build AI solutions across the company
• Automate G&A workflows and enable self-service data access via AI agents
• Participate in agile development sprints

• Proven experience designing and developing Generative AI agents
• Strong expertise in intent detection and complex query decomposition
• Demonstrated experience with context engineering for AI models
• Understanding of knowledge graphs and/or vectorization for LLMs
• Experience building RAG systems including low-level design and implementation
• Solid understanding of LLMs and enterprise applications (Llama 4 Maverick, Claude, OpenAI)
• Experience with AWS for scalable compute and storage
• Familiarity with Databricks for structured/unstructured data and as an agent runtime
• Experience in agile development environments
• Bachelor's or Master's degree in Computer Science, AI, ML, or related field

• Experience with Databricks/Snowflake AI components
• Experience with other major cloud AI services