Selector · 2 days ago
Software Engineer - Applied AI
Selector is building an operational intelligence platform for digital infrastructure, utilizing an AI/ML-based analytics approach. The Software Engineer - Applied AI will design and optimize AI systems, develop pipelines for performance measurement, and collaborate with cross-functional teams to enhance AI-driven features.
AnalyticsArtificial Intelligence (AI)Data VisualizationInfrastructureMachine LearningSoftware
Responsibilities
Design, build, and optimize agentic AI systems that power Selector’s operational intelligence platform
Leverage emerging frameworks (e.g., pydantic-ai, LangChain) and evaluate new agentic AI technologies to accelerate development and maintain cutting-edge capabilities
Develop empirical pipelines for measuring and assessing agent performance, ensuring all prompt and model changes are backed by data-driven evidence and quantifiable improvement
Implement advanced Natural Language Processing (NLP) techniques to translate natural language queries into complex structured queries against operational data sources
Design human-in-the-loop workflows for error detection, correction, and refinement—enabling agents to prompt for clarifications when necessary
Build transparent tracking mechanisms for agent thoughts, decisions, and observations throughout iterative task flows to improve interpretability, debugging, and trust
Evaluate and apply different agent paradigms (ReAct, reflex, goal-based, utility-based, etc.) to align agent behavior with specific task requirements
Collaborate cross-functionally with data engineers, product managers, and customer success teams to ensure AI-driven features align with customer needs and business outcomes
Contribute to the evolution of Selector’s conversational UX, making agent interactions more natural, reliable, and contextually aware
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Science, or related technical field; or equivalent practical experience
3-5 years of software engineering experience, with at least 1 year of experience building Agentic AI systems
Strong programming skills in Python and familiarity with modern AI/ML ecosystems
Experience building or integrating agent-based systems using frameworks such as pydantic-ai, LangChain, or similar
Solid understanding of Natural Language Processing and prompt engineering techniques
Proven ability to design metrics-driven evaluation pipelines for AI/LLM performance testing
Knowledge of agent reasoning strategies (e.g., ReAct, reflexive, goal-driven, utility-based) and practical experience choosing among them
Familiarity with human-in-the-loop systems, error handling, and recovery strategies
Strong problem-solving, analytical, and debugging skills, with attention to reproducibility and system robustness
Excellent communication skills, with the ability to collaborate in a fast-paced startup environment
Preferred
Experience with operational data domains (networking, cloud, application performance) or conversational UX design
Benefits
Discretionary PTO policy
Health insurance
401k
The opportunity for a bonus
Company
Selector
Selector is a software company that provides an AIOps platform for operational intelligence.
H1B Sponsorship
Selector has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (5)
2023 (8)
2022 (4)
Funding
Current Stage
Growth StageTotal Funding
$66MKey Investors
Ansa CapitalAtlantic Bridge,SineWave Ventures,Two Bear CapitalAtlantic Bridge
2024-11-19Series B· $33M
2022-03-15Series A· $28M
2020-04-01Seed· $5M
Recent News
2026-01-22
2025-12-09
Company data provided by crunchbase