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Harman

Software Engineer - Agentic & Generative AI Engineer

Posted 8 Days Ago
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In-Office
Pune, Maharashtra
Mid level
In-Office
Pune, Maharashtra
Mid level
Design and build agentic and generative AI systems: multi-agent architectures, RAG pipelines, LLM-powered features, tool integrations, and MLOps deployment. Collaborate on solution design, implement model tuning, monitoring, safety guardrails, and CI/CD for scalable enterprise AI.
The summary above was generated by AI
HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Introduction: A Career at HARMAN Automotive
We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

Engineer audio systems and integrated technology platforms that augment the driving experience
Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
Advance in-vehicle infotainment, safety, efficiency, and enjoyment.

    What You Will Do1. AI Agent Development
    • Build agentic AI systems using frameworks such as LangChain, AutoGen, Semantic Kernel, Haystack, or LlamaIndex.
    • Develop multi-agent architectures for planning, reasoning, tool use, memory, and feedback loops.
    • Implement autonomous workflows for analytics, operations, customer support, and productivity automation.

    2. Generative AI Solutions

    Develop LLM-powered features such as:
    • Naturallanguage querying
    • Summarization & explanation engines
    • Scenario simulation & calculators
    • Insight generation and anomaly detection
    • Conversational interfaces
    Fine-tune, supervise, or optimize models for domain-specific tasks.

    3. Retrieval-Augmented Generation (RAG)

    Build enterprise-grade RAG pipelines for scalable document, metric, and knowledge retrieval. Implement embeddings, vector databases, chunking, prompt templating, and ranking strategies.

    4. AI Tool Integration

    Enable agents to interact with:
    • Databases
    • Power BI / Anaplan / ERP / CRM
    • REST APIs
    • Python tools & calculators
    • Business workflows
    Build “function calling” capabilities for real-time actions.

    5. MLOps & AIOps

    Deploy AI systems using Azure ML, AWS Sagemaker, Vertex AI, or on-prem platforms. Implement monitoring, guardrails, safety layers, and model evaluation pipelines. Set up CI/CD for AI workflows.

    6. Collaboration & Solution Design

    Work with product, analytics, and engineering teams to design AI use cases. Create high-level and low-level architecture diagrams. Ensure scalability, robustness, security, and governance.
    What You Need to Be Successful

    Experience : 4- 6 Years

    Technical Skills

    1. Generative AI & LLMs

    Strong understanding of GPT, Llama, Mistral, Claude, Gemini Prompt engineering, prompt chaining, instruction tuning Experience with open-source and proprietary LLMs Knowledge of transformers, attention mechanisms, and embeddings

    2. Agentic AI

    Hands-on experience with:
    • LangChain Agents
    • AutoGen / Autogen Studio
    • Semantic Kernel Functions & Planners
    • Multi-Agent Orchestration
    • Tool-use, planning, reflection, memory systems

    3. RAG Engineering

    Vector databases (FAISS, Pinecone, Milvus, Azure AI Search) Chunking strategies, hybrid search, rerankers Advanced prompt routing & retrieval chains

    4. Programming

    Python (must have) Knowledge of TypeScript/JavaScript is a plus Familiarity with API development (FastAPI, Flask)

    5. Cloud & Deployment

    Azure AI Studio / AWS Bedrock / GCP Vertex AI Docker, Kubernetes DevOps & MLOps practices Model deployment pipelines

    6. Data & Analytics

    SQL, data modeling Working knowledge of APIs from systems like Power BI, Dataverse, Anaplan, SAP Basic ML knowledge (supervised, unsupervised, deep learning basics)

    What We Offer 

    Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
    Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.)
    Extensive training opportunities through our own HARMAN University
    Competitive wellness benefits
    Tuition reimbursement
    “Be Brilliant” employee recognition and rewards program
    An inclusive and diverse work environment that fosters and encourages professional and personal development

    HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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