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(Only 24h Left) Generative AI Engineer

Tata Consultancy ServicesIndia

8 days ago

Job description

Responsibilities

AI Application Development :

Design and develop intelligent chatbots and conversational AI systems for various business applications
Build and deploy social media analysis tools using natural language processing and sentiment analysis
Implement AI-powered content generation and analysis systems
Create and maintain AI agents for task automation and workflow optimization

LLM Integration & Optimization :

Set up, configure, and fine-tune Large Language Models (LLMs) for specific use cases

Implement prompt engineering techniques to optimize model performance

Integrate various LLM APIs (OpenAI, Anthropic, Google, etc.) into applications

Develop custom model pipelines and orchestration workflows

Security & Governance :

Implement AI security guardrails and content filtering systems

Design and deploy safety mechanisms for AI-generated content

Ensure compliance with AI ethics and responsible AI practices

Monitor and mitigate potential risks in AI applications

Technical Infrastructure :

Build and maintain vector databases for semantic search and retrieval systems

Implement Retrieval-Augmented Generation (RAG) architectures

Work with Model Context Protocol (MCP) for enhanced AI capabilities

Design scalable AI systems and optimize performance for production environments

Framework & Tool Utilization :

Develop applications using LangChain and LangSmith frameworks

Build custom AI workflows and chains for complex use cases

Integrate with various AI / ML platforms and services

Maintain and optimize existing AI codebases

Qualifications

Bachelor’s degree in computer science, AI / ML, Data Science, or related technical field

Relevant certifications in AI / ML or cloud platforms are a plus.

Continuous learning mindset with up-to-date knowledge of AI trends

Required Skills

Programming : Proficiency in Python with experience in AI / ML libraries

GenAI Frameworks : Hands-on experience with LangChain, LangSmith, or similar frameworks

LLM Integration : Experience setting up and working with various LLMs (GPT, Claude, Gemini, etc.)

Vector Databases : Knowledge of Pinecone, Weaviate, Chroma, or similar vector storage solutions

AI / ML Libraries : Familiarity with HuggingFace Transformers, OpenAI API, Anthropic API

Data Processing : Experience with pandas, numpy, and data preprocessing techniques

APIs & Integration : RESTful API development and third-party service integration

Preferred Skills

1-2 years of hands-on experience in Generative AI or related AI / ML fields

Proven track record of building and deploying AI applications in production

Experience with at least 2-3 major GenAI projects or use cases

Experience with cloud platforms (AWS, GCP, Azure) for AI / ML workloads

Knowledge of containerization (Docker, Kubernetes) for AI application deployment

Background in social media analytics and content moderation

Experience with multi-modal AI applications (text, image, audio)

Knowledge of AI agent frameworks and autonomous systems

Understanding of enterprise AI governance and compliance requirements

Strong problem-solving abilities and analytical thinking

Excellent communication skills for technical and non-technical stakeholders

Ability to work in fast-paced, iterative development environments

Collaborative mindset for cross-functional team projects

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Generative Ai Engineer • India

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