Salary
≈ $20k – $44k per year (Estimated)
Location
Remote (India)
Seniority
Staff · 8+ years exp
First seen by Alion on Oct 30, 2026.
Overview
Company
Impact
Profile match
Aays Analytics uses industry-standard tools and technologies to offer agile and scalable analytics solutions. It gives actionable insights, centralizes data, and helps collaboration amongst the teams.
Responsibilities:
- Play an instrumental and influential role in driving generative AI vision, strategy, and architecture.
- Architect, build, maintain, and improve new and existing suites of GenAI applications and their underlying systems.
- Design and develop backend systems and APIs for AI-driven products and agent frameworks.
- Integrate LLMs into scalable, production-ready systems.
- Establish reusable frameworks to streamline model building, deployment, and monitoring. Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms.
- Build guardrails, compliance rules, and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases.
- Develop templates, guides, and sandbox environments for easy onboarding of new contributors and experimentation with new techniques.
- Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implementing a clear peer review process of applications.
- Contribute to and promote good software engineering practices across the team.
Requirements:
- Proven experience in leading AI projects from conception to deployment in a consultancy or start-up environment.
- Professional software engineering experience, ideally working on backend systems, APIs, or AI-related products.
- Proficiency in Python (Django) and JavaScript/TypeScript (React).
- Strong understanding of backend architectures, REST/GraphQL APIs, and data modeling.
- Experience with containerization (Docker) and cloud platforms (GCP, Azure, or similar).
- Exposure to agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc. ).
- Practical experience with databases (SQL / NoSQL).
- Strong foundation in software design principles and system design.
- Strong leadership skills with a proven track record of mentoring and developing talent.
- Excellent communications skills, capable of conveying complex AI concepts to nontechnical stakeholders.
- A strategic thinker with a passion for problem-solving and innovation.
- SME in statistics, analytics, big data, data science, machine learning, deep learning, cloud, mobile, and full-stack technologies.
- Hands-on experience analyzing large amounts of data to derive actionable insights.
Skills
Django, Generative AI, JavaScript, LLM, LangChain, LangGraph, Python, React, React.js, Semantic Kernel, TypeScript
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