Generative AI Engineer

1 day ago

Mumbai, India Tata Consultancy Services Full time
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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