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AI Product Engineer

  • Source: Naukri
  • Mouri Tech
  • $6,322.11 to $16,858.96 /yr
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Role & responsibilities

Job Summary

We are looking for an AI Product Engineer with 3+ years of software development experience and hands-on exposure to Artificial Intelligence, Generative AI, LLMs, APIs, and AI-powered application development.

The ideal candidate should have a strong product development mindset and be capable of converting business problems and user requirements into scalable, production-ready AI solutions. The role requires a combination of software engineering, AI implementation, product thinking, rapid prototyping, and end-to-end application development.

The candidate should be comfortable working across the AI application stackfrom identifying suitable AI capabilities and integrating models to developing user-facing features, APIs, evaluation mechanisms, and production solutions.

Key Responsibilities

  • Design, develop, and enhance AI-powered products and applications from concept through production.
  • Translate business requirements and user problems into practical AI-enabled product features.
  • Work closely with Product Managers, UX/UI teams, architects, and business stakeholders to define and deliver AI capabilities.
  • Integrate LLMs, Generative AI models, AI APIs, and third-party AI services into applications.
  • Develop AI-powered features such as intelligent assistants, document processing, summarization, classification, recommendation, search, content generation, and conversational experiences.
  • Build and integrate REST APIs and backend services to support AI-driven applications.
  • Develop proof-of-concepts and rapidly convert successful prototypes into production-ready solutions.
  • Implement prompt engineering, structured prompting, context management, and response optimization.
  • Develop and integrate RAG-based solutions using enterprise data and knowledge sources.
  • Work with vector databases, embeddings, semantic search, and retrieval mechanisms where applicable.
  • Evaluate AI outputs for accuracy, relevance, consistency, latency, and cost.
  • Implement appropriate guardrails and validation mechanisms to improve AI reliability and reduce hallucinations.
  • Optimize AI applications for scalability, performance, security, and cost efficiency.
  • Participate in product discovery, technical design, development, testing, deployment, and continuous improvement.
  • Monitor production AI features and proactively identify opportunities for improvement.
  • Stay current with emerging AI technologies and assess their applicability to product use cases.

Preferred Skills

  • Experience with LangChain, LlamaIndex, Semantic Kernel, or LangGraph.
  • Exposure to AI Agents / Agentic AI, function calling, and tool-use patterns.
  • Experience with multimodal AI solutions involving text, images, documents, or audio.
  • Exposure to LLM fine-tuning, LoRA/PEFT, or model customization.
  • Knowledge of AI evaluation frameworks and LLM observability.
  • Experience with OCR and intelligent document processing.
  • Exposure to recommendation engines, semantic search, or intelligent automation.
  • Experience working on SaaS or enterprise product development.
  • Startup/product-company experience is an advantage.

Key Competencies

  • AI Product Engineering
  • Generative AI
  • LLM Application Development
  • RAG
  • Prompt Engineering
  • AI API Integration
  • Python / Backend Development
  • Vector Search & Embeddings
  • AI Agents
  • Product Thinking
  • Rapid Prototyping
  • API & Application Development
  • AI Evaluation & Optimization
  • Problem Solving
  • Cross-functional Collaboration

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related discipline.
  • 3+ years of professional software/application development experience.
  • Demonstrable hands-on experience implementing AI capabilities in real-world applications.
  • Strong software engineering fundamentals combined with a genuine interest in AI technologies.
  • Ability to work independently, take ownership, and operate effectively in a product-oriented environment.

Preferred candidate profile

Perks and benefits

Skills

  • guardrails
  • LangChain
  • LlamaIndex
  • LangGraph
  • Python

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