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    Home/Jobs/AI Full-Stack Engineer

    AI Full-Stack Engineer

    Version

    Mumbai
    7+ years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    Agentic AI
    Vector Database
    Embeddings
    AgentCore
    AWS Bedrock
    AWS SageMaker
    React
    SSE
    WebSocket
    Python
    Go
    Java
    Node.js
    REST API

    Description

    Version 1 is hiring a Senior/Staff AI Full Stack Engineer to design, build, and ship production-grade AI-powered applications. The role involves end-to-end ownership from prototype to production on Galaxy's AI platform.

    Company: Version 1

    Role: AI Full-Stack Engineer

    Location: Mumbai, Maharashtra, India (Hybrid: 3 days in office per week)

    Experience:

    • 7+ years of experience

    Responsibilities:

    • Design and build full stack AI-powered applications from scratch using Galaxy's AI platform
    • Build responsive, production-quality frontends in React
    • Build robust, scalable backend services in Python integrating with LLMs and enterprise data sources
    • Design and implement data layers using PostgreSQL, Databricks, and Redis
    • Partner with product and engineering teams to re-architect and scale AI prototypes into production
    • Identify and remediate security, scalability, reliability, and performance gaps
    • Work within CI/CD pipelines using Kubernetes and Terraform for deployment and scaling
    • Implement automated testing and observability for production support
    • Act as advisor for teams starting AI prototypes providing architectural and product best practices
    • Define and evangelize reusable patterns, templates, and starter kits
    • Review prototype architectures and provide actionable recommendations
    • Bring a product mindset balancing user needs, technical feasibility, and time-to-market
    • Collaborate with AI Tech team on platform capabilities and roadmap
    • Collaborate with business stakeholders to translate problems into AI product features
    • Mentor engineers on full stack best practices for AI products

    Additional responsibilities:

    • Act as trusted advisor guiding teams on best practices from prototype start to production
    • Own software and infrastructure engineering to ship and maintain products live

    Nice to have:

    • Experience in financial services domain
    • Experience in Capital Markets, Digital Assets/Crypto, or AI infrastructure
    • Experience building applications on LLM/agentic AI platforms like AWS Bedrock or SageMaker
    • Familiarity with vector databases and embeddings for AI-powered search/retrieval
    • Ability to evaluate AI feature quality from product/UX perspective

    More skills:

    FastAPI, Kubernetes, Terraform, Docker, Automated testing, Git, PostgreSQL, Databricks, Redis, AWS, AWS AgentCore, EC2, ECS/EKS, Lambda, API Gateway, S3, IAM, CloudWatch, VPC, OAuth2, OIDC, SSO, RBAC, Secrets management, Streaming UIs (SSE/WebSockets)

    Other:

    • Version 1 is a core values driven company with strong partnerships with Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake
    • Employees work in hybrid mode with 3 days in office per week
    • Version 1 offers Quarterly Performance-Related Profit Share Scheme
    • Strong career progression and mentorship coaching programs
    • Flexible and remote working options with focus on work-life balance
    • Financial wellbeing initiatives including pension, private healthcare, life assurance, financial advice, employee discounts
    • Employee wellbeing schemes including gym discounts, bike to work, fitness classes, mindfulness workshops, employee assistance program
    • Generous holiday allowance and enhanced leave policies
    • Educational assistance and incentivized certifications including AWS, Microsoft, Oracle, Red Hat
    • Reward schemes including annual excellence awards and call-out platform
    • Environment, social and community initiatives promoting diversity, inclusion, and belonging
    • Equal opportunities employer committed to diversity and accessibility
    • Strong communication skills required for presenting architectural recommendations

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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