Software Engineer - Agentic & Generative AI

 Posted 15 hours ago
  
 India
  
5-10 years experience
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AI Summary

Develop agentic AI systems and LLM-powered features using frameworks like LangChain and AutoGen. Build enterprise-grade RAG pipelines and integrate AI agents with business workflows and cloud platforms.

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.

Job Description
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 Do
1. 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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