Top Tech Jobs & Startup Jobs

Leads a software engineering delivery pod, setting architecture and technical direction while ensuring quality, scope, and timelines. Manages and develops engineers through regular feedback, hiring, and resource planning. Champions AI-assisted development, responsible AI, and inclusive team culture. Coordinates with clients and stakeholders, supports pre-sales activities, resolves engineering blockers, and contributes to cross-pod technical guilds.

Own the technical product roadmap for AltaML’s AltaForge platform, making decisions about architecture, costs, performance, observability, reusable libraries, and scalability. Conduct technical discovery, evaluate frameworks and AI tools through prototypes, track agentic programming trends, and translate findings into product decisions. Partner closely with engineers and developers as internal customers while supporting external client needs. The role requires prior software engineering, technical product management, agentic systems, LLM applications, and developer-focused platform or tooling experience.

Design, develop, and maintain production-ready full-stack products and ETL pipelines for data extraction and ingestion. Improve document ingestion and RAG-based AI assistants through LLM integration. Participate in architecture, design, code reviews, requirements analysis, estimation, testing, and cross-functional collaboration while taking ideas from conception to production.

Conduct user research and discovery, identify product friction, and translate findings into user stories, requirements, wireframes, and prototypes. Support product testing, feedback cycles, releases, client communications, and release notes. Use AI tools throughout the product development process while collaborating with product and engineering teams in a fast-paced, AI-driven environment.

Develop and maintain frontend and backend software for an agentic AI platform. Responsibilities include implementing features, troubleshooting bugs and integrations, improving performance and dashboard usability, collaborating across teams, leveraging AI development tools, supporting testing and CI/CD, contributing to documentation and code reviews, and participating in agile workflows.

Acquire and expand public sector and healthcare accounts by selling AI and machine learning services and products. Build executive relationships, manage revenue pipelines, meet multimillion-dollar quotas, advise clients on AI adoption, coordinate cross-functional sales teams, develop contracts and pricing, and cultivate strategic partnerships. The role requires enterprise B2B sales expertise, public sector or healthcare experience, knowledge of privacy and data policies, and strong communication, negotiation, presentation, and facilitation skills.

Design enterprise AI products from discovery through launch and iteration. Conduct client and user research, rapidly create and test prototypes, assess usability risk, and refine experiences based on observed behavior. Collaborate closely with product managers and technical leads, contribute to shared design systems, improve design standards, and incorporate accessibility requirements for public-sector clients.

The Full Stack Software Engineer will develop and deliver ML-powered applications, working with cloud services, APIs, and modern front-end frameworks while actively participating in technical design and collaboration within a project pod.

The Senior Full Stack Software Engineer will lead the design and implementation of AI-integrated applications, mentor team members, and engage with clients on technical scopes, emphasizing hands-on development and architectural decisions.