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    Home/Jobs/Sr Product Developer - India

    Sr Product Developer - India

    BMC

    Bengaluru / Pune
    10+ years
    Today
    ₹34–34 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Prompt Engineering
    RAG
    Vector Database
    LangChain
    LlamaIndex
    OpenAI
    Anthropic
    Supervised fine-tuning
    Agent frameworks
    Orchestration
    Pinecone
    Weaviate
    FAISS

    Description

    BMC is seeking a senior AI Engineer to build a next-generation Agentic AI platform from the ground up, focusing on production-grade AI capabilities for enterprise customers.

    Company: BMC

    Role: Sr Product Developer - India

    Location: Bangalore, India | Pune - Business Bay, India

    Experience:

    • 10+ years of professional software development experience
    • Significant experience shipping B2B products used by external customers
    • Proven experience building, deploying, and operating AI-powered products in production

    Key Skills:

    • Python
    • AI-powered product development
    • LLMs and GenAI systems
    • Agent frameworks and orchestration
    • Prompt engineering
    • RAG architectures and vector search
    • Model evaluation and monitoring
    • Safety and enterprise controls
    • LangGraph
    • LangChain
    • LlamaIndex
    • Vector databases (Pinecone, Weaviate, FAISS, Milvus)
    • AWS SageMaker
    • Vertex AI
    • OpenAI API
    • Anthropic API
    • Cloud platforms (AWS, Azure, GCP)
    • Containers
    • Distributed systems
    • Multi-agent systems design

    Role Focus:

    • Design, build, and evolve agentic AI systems for production
    • Take AI-driven features from concept to production
    • Write and review high-quality production code across AI pipelines and services
    • Implement prompt engineering, tool use, memory, evaluation, and guardrails as engineering concerns
    • Design agent frameworks balancing autonomy, determinism, observability, and safety
    • Make architectural trade-offs across latency, cost, accuracy, scalability, and maintainability
    • Integrate and operate LLMs including model selection, fine-tuning, embeddings, retrieval, and inference optimization
    • Address real-world issues such as hallucinations, drift, prompt regressions, failure modes, and customer trust
    • Deploy and operate AI services across cloud platforms with secure enterprise integrations
    • Design scalable inference and orchestration architectures using containers, APIs, and distributed systems
    • Ensure platform is shippable, debuggable, and supportable
    • Act with founder-level ownership by identifying gaps and proposing solutions

    Additional responsibilities:

    • Work alongside VP of Engineering, VP of AI, and product leadership to define and build core AI systems
    • Occasional business travel
    • Operate under enterprise constraints including security, compliance, and uptime
    • Operate in ambiguity and make decisions with incomplete information

    Nice to have:

    • Contributions to open-source GenAI tooling or internal frameworks
    • Experience with supervised fine-tuning and parameter-efficient tuning methods (LoRA, QLoRA)
    • Experience with reinforcement learning (RLHF) and preference optimization (PPO, DPO, GRPO)
    • Experience deploying LLMs at scale with Kubernetes, model serving, and GPU optimization

    Other:

    • BMC culture values authenticity and diversity
    • BMC is an equal opportunity employer with a commitment to fair hiring practices
    • Salary midpoint for this role is 3,398,800 INR with additional variable plans and country-specific benefits
    • BMC maintains a strict policy against requesting payment for employment opportunities
    • Employee compensation considers skill sets, experience, training, licensure, certifications, and business needs

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

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