Senior Engineer, Applied AI
New
USFull-TimeSenior
Salary150,500 - 173,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 6+ years
- Required Skills
- PythonSQLSnowflakePrompt EngineeringLLMGenerative AILangChain
Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
- 6+ years of experience in ML engineering, AI engineering, or software engineering with recent GenAI/LLM focus.
- Proven experience building and deploying production-grade AI chatbots or conversational AI systems.
- Strong Python programming skills with experience in frameworks such as LangChain, Transformers, OpenAI, or Hugging Face.
- Hands-on experience with vector databases (e.g., FAISS, Pinecone, Chroma, Weaviate) and RAG architectures.
- Solid understanding of prompt engineering, model evaluation, and API orchestration.
- Experience working with SQL and data platforms such as Snowflake.
- Strong communication skills with the ability to explain AI behavior and trade-offs clearly.
- Ability to thrive in collaborative, fast-paced, product-driven environments.
Responsibilities
- Design, prototype, and deploy Generative AI solutions across customer-facing and internal platforms.
- Build and optimize LLM-powered applications using techniques such as RAG pipelines, vector databases, and advanced prompt engineering.
- Develop production-grade conversational AI systems, including chatbots and AI agents for digital and voice-based interactions.
- Lead experimentation and proof-of-concept development for use cases such as summarization, document processing, and intelligent knowledge assistants.
- Collaborate with ML Ops and engineering teams to ensure robust deployment pipelines, monitoring, and observability for AI systems.
- Integrate and evaluate third-party GenAI tools, APIs, and vendor solutions to accelerate delivery.
- Optimize model performance, cost efficiency, and accuracy through tuning, evaluation, and iterative improvement.
- Participate in architecture discussions to ensure scalable and responsible AI integration across platforms.
- Partner with product and business stakeholders to translate requirements into technical AI solutions.
View Full Description & ApplyYou'll be redirected to the employer's site
