Job Title: AI Engineer

Location: Visakhapatnam

Employment Type: Full-Time

About the Role

We are seeking a highly skilled AI Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). The ideal candidate will design, develop, and deploy AI-powered applications that automate business processes, enhance customer experiences, and drive intelligent decision-making. This role offers an exciting opportunity to work on cutting-edge AI technologies, build enterprise grade AI solutions, and collaborate with cross-functional teams to accelerate the organization’s AI transformation journey.

Key Responsibilities

• Drive the development of AI-powered applications and intelligent automation solutions
• Design, develop, and implement scalable LLM-based applications using Retrieval-Augmented Generation (RAG) architectures
• Build intelligent AI assistants, chatbots, and AI agents for enterprise use cases
• Develop and integrate secure, scalable, and high-performance REST APIs to expose AI capabilities
• Implement advanced Natural Language Processing (NLP) solutions including:
  • Semantic Search
  • Question Answering
  • Text Summarization
  • Conversational AI
  • Information Extraction
• Design and manage vector search solutions using Weaviate, ChromaDB, FAISS, or similar vector databases
• Develop and optimize prompt engineering strategies to improve LLM performance and response quality
• Integrate AI models with enterprise databases such as PostgreSQL/PostGIS and external business applications
• Optimize AI applications for scalability, latency, accuracy, security, and cost efficiency
• Collaborate with product managers, software developers, data engineers, and business stakeholders to deliver innovative AI solutions
• Stay updated with emerging trends in Generative AI, LLMs, AI Agents, LangChain, and related technologies
• Contribute to AI governance, best practices, documentation, and code quality standards
• Support AI adoption initiatives by identifying automation opportunities and implementing intelligent decision-support systems

Mandatory Skills

• Strong programming experience in Python
• Hands-on experience with Natural Language Processing (NLP)
• Experience working with LangChain
• Knowledge of Large Language Models (LLMs) and Generative AI
• Experience designing RAG (Retrieval-Augmented Generation) applications
• Experience with Memory Systems for conversational AI
• Knowledge of Prompt Engineering
• Experience with Vector Databases:
  • Weaviate
  • ChromaDB
  • FAISS
• Strong understanding of embeddings, semantic search, and vector similarity search
• Experience building REST APIs using frameworks such as FastAPI or Flask
• Database knowledge, preferably PostgreSQL/PostGIS
• Familiarity with Git and software development best practices

Good to Have Skills

• 2–3 years of hands-on experience in AI/ML or Generative AI application development
• Experience with AI Agent frameworks
• Knowledge of OpenAI, Azure OpenAI, Anthropic Claude, or other LLM platforms
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with Docker and containerized deployments
• Experience with ML model deployment and monitoring
• Understanding of MLOps concepts
• Knowledge of Hugging Face Transformers and embedding models
• Experience with CI/CD pipelines
• Exposure to knowledge graph or document processing solutions

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Information Technology, Data Science, or a related field.
• Minimum 3+ years of experience in AI/ML, NLP, or Generative AI application development.