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    Home/Jobs/Software Engineer | AI Platforms

    Software Engineer | AI Platforms

    SingleStore

    India
    4+ years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Embeddings
    Go
    Python
    Kubernetes
    distributed systems
    cloud native services
    vector search
    AI/ML
    Supervised learning

    Description

    We are looking for a Software Engineer to design and implement core platform capabilities for AI/ML and AI Agents in SingleStore Cloud.

    Company: SingleStore

    Role: Software Engineer | AI Platforms

    Location: India

    Experience:

    • 4+ years of experience working on a SaaS product or production platform
    • Experience building cloud native services: Kubernetes, containers, service-to-service APIs, CI/CD
    • Strong software engineering skills with experience in distributed systems (Go, Python, or similar)

    Key Skills:

    • Go
    • Python
    • Kubernetes
    • cloud primitives
    • AI/ML fundamentals
    • Supervised learning basics
    • LLM basics
    • Embeddings + vector search fundamentals

    Role Focus:

    • Build and evolve backend services that power AI features: agent orchestration, tool execution, retrieval/RAG pipelines, and model serving integrations
    • Design APIs and control plane workflows for AI platform components (tenant-aware, secure by default, observable)
    • Implement MCP style tool discovery / integration patterns so agents can safely call tools, connectors, and internal services
    • Work closely with product managers, designers, customers, and partner engineering teams to deliver high quality AI experiences
    • Engineer for reliability and scale: latency, cost controls, rate limiting, fallbacks, rollouts, and incident response readiness
    • Establish best practices around evaluation: offline test sets, regression detection, prompt/model/version tracking, and quality gates
    • Contribute to secure AI by design approaches: permissions, data access boundaries, prompt injection defenses, and auditability
    • Mentor junior engineers and contribute to a welcoming, high ownership team environment

    Nice to have:

    • Hands on experience with AI agents and orchestration frameworks (tool calling, workflows, planners/executors)
    • Practical experience with RAG systems, reranking, grounding, and evaluation strategies
    • Experience with model serving patterns (batch/online inference, caching, streaming responses)
    • Knowledge of security considerations for AI systems (data isolation, RBAC, prompt injection threats, audit logs)
    • Familiarity with vector databases or vector capabilities in modern data platforms
    • Experience with observability stacks (structured logging, metrics, tracing) and SLO driven engineering

    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.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

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