Senior Full Stack AI Engineer (Remote, Contractual) [AS282]

Smart Working Solutions; Delhi (MN); Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Fixed Shifts

No Weekend Work

Laptop and medical insurance

Mentorship and community

AI Training onboarding

Job summary

Medium is seeking a Senior Full Stack AI Engineer to join a small, high-impact team at the intersection of product engineering and AI-driven solutions. This role is autonomous and product-focused, owning work from idea to production across backend, frontend, architecture, and AI-enabled features.

You will improve an existing Python-based application while prototyping AI-powered solutions, requiring strong engineering judgment and the ability to bring structure and best practices to an evolving

Qualifications

• 5+ years in Python production environments
• 5+ years in system design/architecture
• 3+ years with APIs and AI or data-driven services
• 3+ years frontend experience with React/JS
• 3+ years end-to-end feature ownership
• Strong SDLC and code quality standards
• Experience prototyping AI-enabled solutions
• Ability to work in ambigous environments with independence
• 2+ years prototyping AI-enabled solutions
• Excellent stakeholder communication skills

Responsibilities

• Translate ambiguous stakeholder requirements into structured solutions, user flows, and deliverables
• Design system architecture, focusing on scalability, maintainability, and security
• Build and deliver end-to-end features across frontend and backend with full ownership
• Rapidly prototype AI-enabled solutions and evolve them into production-ready systems
• Improve and scale an existing Python-based application, addressing backlog, performance, and UX gaps
• Define and implement UX flows and usability improvements (not visual design, but user journeys)
• Integrate with APIs, including AI-driven services, and design robust data flows
• Apply secure development practices and ensure systems are reliable
• Balance speed of delivery with long-term engineering quality
• Contribute to engineering practices (architecture, SDLC, testing) through hands-on work
• Collaborate with stakeholders and team members with high independence

Skills

Python

System design

AI tools

API integration

React/JS

End-to-end ownership

SDLC

Stakeholder comms

Data modeling

ETL

Tools

Codex

Claude

Job description

Role Summary

We’re looking for a Senior Full Stack AI Engineer to join a small, high‑impact team working at the intersection of product engineering and AI‑driven solutions.

This is not a traditional full‑stack role. It’s a highly autonomous, product‑focused position where you’ll take ownership from idea to production, working across backend, frontend, architecture, and AI‑enabled features. You’ll operate in a fast‑paced, low‑process environment, translating ambiguous stakeholder needs into working solutions while balancing rapid delivery with long‑term quality.

You’ll work across both improving an existing Python‑based application and building new AI‑powered solutions, often prototyping and shipping within short timeframes. This role requires strong engineering judgment, a proactive mindset, and the ability to bring structure and best practices into an evolving environment.

Responsibilities

• Translate ambiguous stakeholder requirements into structured solutions, user flows, and deliverables
• Design system architecture, making decisions around scalability, maintainability, and security
• Build and deliver end‑to‑end features across frontend and backend with full ownership
• Rapidly prototype AI‑enabled solutions and evolve them into production‑ready systems
• Improve and scale an existing Python‑based application, addressing backlog, performance, and UX gaps
• Define and implement UX flows and usability improvements (not visual design, but user journeys)
• Integrate with APIs, including AI‑driven services, and design robust data flows
• Apply secure development practices and ensure systems are reliable and maintainable
• Balance speed of delivery with long‑term engineering quality and structure
• Contribute to and elevate engineering practices (architecture, SDLC, testing) through hands‑on work
• Collaborate with stakeholders and team members while operating with a high degree of independence

Requirements

• Strong experience with Python (5+ years) in production environments
• Proven experience in system design and architecture (5+ years), including making trade‑offs
• Hands‑on experience with AI‑assisted development tools (e.g., Codex, Claude, or similar) in real workflows
• Strong experience integrating APIs, including AI or data‑driven services (3+ years)
• Solid frontend experience with React and modern JavaScript/HTML (3+ years or equivalent frameworks)
• Experience owning features or products end‑to‑end, from concept to delivery (3+ years)
• Strong understanding of SDLC, engineering best practices, and code quality standards
• Experience working in ambiguous environments and shaping requirements independently
• Proven ability to prototype quickly and deliver at pace (2+ years)
• Strong stakeholder communication skills and ability to translate business needs into technical solutions (5+ years)
• Good understanding of UX flows and usability principles (2+ years)
• Experience working with databases and data modelling (3+ years)
• Understanding of secure development practices (3+ years)
• Experience handling data pipelines or ETL processes (2+ years)
• High ownership mindset with the ability to operate independently in a low‑structure environment

Nice to Have

• Experience working in small, high‑autonomy teams without dedicated QA or BA support
• Exposure to building AI‑powered products or LLM‑based workflows in production
• Experience improving engineering maturity (architecture, testing, SDLC) within teams
• Familiarity with rapid prototyping tools and experimentation environments
• Strong product mindset with the ability to balance user needs, business goals, and technical constraints

Benefits

• Fixed Shifts: 12:00 PM – 9:30 PM IST (Summer) | 1:00 PM – 10:30 PM IST (Winter)
• No Weekend Work: Real work‑life balance, not just words
• Day 1 Benefits: Laptop and full medical insurance provided
• Support That Matters: Mentorship, community, and forums where ideas are shared
• True Belonging: A long‑term career where your contributions are valued
• 5‑Day AI Training: Hands‑on AI Academy onboarding to get you building with AI from day one