Sr. Engineer, Software - GenAI (Hybrid)

Job Responsibilities

• Contribute to planning and scoping of agentic AI systems by evaluating models, frameworks, and integration options, and by assisting engineering teams with technical analysis and workflow recommendations.
• Assist and build agentic AI systems using LLMs, RAG, MCP, tool integration, and orchestration frameworks.
• Conduct analysis and experimentation on agent reasoning, planning, and memory behaviors, providing insights that guide improvements to contextual interactions and task execution.
• Build, test, and optimize pipelines using tools such as LangChain, LangGraph, and CAMEL.
• Collaborate with product, engineering, and research teams to gather requirements, validate assumptions, and support planning for scalable and performant assistant deployments.
• Prepare assessments and recommendations on tooling, infrastructure, observability, and readiness considerations to support Lead-level decision making.
• Provide guidance to teams by sharing insights on AI-native engineering patterns and emerging LLM ecosystem trends, supporting knowledge transfer across groups.
• Support end-to-end delivery by coordinating across frontend, backend, and ML teams, monitoring progress, and highlighting risks or quality concerns for resolution.
• Contribute technical analysis and inputs to roadmap discussions and sprint planning, ensuring requirements and constraints are surfaced clearly.
• Aid in the development and refinement of engineering workflows, coding standards, and agile practices by providing data, observations, and improvement recommendations.
• Affirmatively monitor delivery metrics and GenAI tool usage.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 8+ years of experience in software engineering, with at least 1+ years working with LLMs or agentic AI systems.
• Strong working knowledge of agentic system concepts, modern AI components, and LLM-based workflows.
• Proficiency in Python and experience supporting production-grade development.
• Hands-on experience with LLM orchestration tools (e.g., LangChain, LangGraph, LlamaIndex, CAMEL) for analysis and workflow testing.
• Understanding of agent reasoning, coordination patterns, memory systems, and RAG pipelines.
• Experience with vector databases (FAISS, Pinecone, Weaviate) and embedding-based retrieval analysis.
• Solid grasp of software architecture basics, distributed system concepts, and integration considerations.
• Ability to support prototyping efforts and identify early scalability or deployment considerations.
• Experience with chatbot frameworks (e.g., LangChain, Rasa) and backend integration workflows.
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps/model deployment practices.
• Strong communication and cross-team collaboration skills in fast-paced environments.

Other

• Ability to travel up to 10% of the time domestically and internationally.

Pay Range

The pay range for this position is $85,500.00 - $162,975.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience.

Benefits

In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements).