Generative AI Engineer

24 hours 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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