AI/Generative AI Developer

• *TESTUNITY**

Job Description – AI/GenAI Developer (4\+ Years Experience)Job Title

• *AI/Generative AI Developer**

Experience

• *4\+ Years**

Job Summary

We are seeking an experienced **AI/Generative AI Developer** with a strong background in designing, developing, and deploying enterprise\-grade Generative AI and Large Language Model (LLM) solutions. The ideal candidate should possess hands\-on experience in Python\-based backend development, LLM orchestration frameworks, prompt engineering, Agentic AI, FastAPI, and cloud AI platforms. Candidates must have worked on real\-time AI projects and be able to clearly explain their technical contributions, architecture, and business use cases.

Mandatory Skills

• Python
• Generative AI (GenAI)
• Large Language Models (LLMs)
• Prompt Engineering
• FastAPI
• Agentic AI
• RESTful API Development
• LangChain and/or LlamaIndex
• Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)
• Git and CI/CD

Key Responsibilities

• Design, develop, and deploy scalable Generative AI and LLM\-powered applications.
• Build AI\-powered backend services using Python and FastAPI.
• Develop and maintain RESTful APIs and microservices for AI applications.
• Build intelligent AI agents using Agentic AI frameworks and autonomous workflows.
• Implement LLM orchestration using LangChain, LlamaIndex, or similar frameworks.
• Design effective prompt engineering strategies, including:
• Zero\-shot prompting
• Few\-shot prompting
• Chain\-of\-Thought (CoT)
• Function Calling
• Structured Output Prompting
• Integrate vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate for Retrieval\-Augmented Generation (RAG) applications.
• Develop and optimize RAG pipelines using embeddings and semantic search.
• Integrate AI solutions with cloud AI platforms such as AWS Bedrock, SageMaker, Azure OpenAI, or Google Vertex AI.
• Build secure, scalable, and production\-ready AI services following microservices architecture.
• Collaborate with cross\-functional teams to understand business requirements and translate them into AI\-driven solutions.
• Write clean, maintainable, and well\-documented code while following software engineering best practices.
• Participate in code reviews, testing, deployment, and CI/CD processes.

Required Technical Skills

• Strong proficiency in Python for backend and AI application development.
• Hands\-on experience with FastAPI for developing scalable APIs.
• Extensive experience with Generative AI and Large Language Models (LLMs).
• Experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar LLMs.
• Strong understanding of prompt engineering techniques and LLM optimization.
• Experience with Agentic AI frameworks and multi\-agent workflows.
• Hands\-on experience with LangChain, LlamaIndex, or equivalent LLM orchestration frameworks.
• Experience implementing RAG architectures using vector databases.
• Strong understanding of embeddings, transformers, NLP concepts, and semantic search.
• Experience with REST APIs, microservices, and API integrations.
• Knowledge of cloud AI services:
• AWS Bedrock
• Amazon SageMaker
• Azure OpenAI
• Google Vertex AI
• Experience with Git, GitHub/GitLab, Docker, CI/CD pipelines, and containerized deployments.

Preferred Skills

• Experience with GraphQL APIs.
• Experience with TypeScript/Node.js for AI integrations.
• Knowledge of Kubernetes and container orchestration.
• Familiarity with AI observability, model monitoring, and evaluation frameworks.
• Experience with MCP (Model Context Protocol) and AI tool integrations is an added advantage.

Mandatory Candidate Screening Criteria

Candidates **must have practical, hands\-on experience** in the following technologies:

• Python
• Generative AI (GenAI)
• Large Language Models (LLMs)
• Prompt Engineering
• FastAPI
• Agentic AI

Additionally, candidates must demonstrate

• Hands\-on implementation of these technologies in real\-time production projects.
• Ability to clearly explain the project architecture, business problem, AI solution, and their individual contributions.
• Experience building production\-ready AI applications rather than only proofs of concept.
• Strong understanding of end\-to\-end AI application development, including data flow, orchestration, deployment, and performance optimization.

Soft Skills

• Strong analytical and problem\-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to prepare clear technical documentation.
• Strong collaboration skills and ability to work in Agile teams.
• Passion for AI innovation and continuous learning.

Work Location: Hybrid remote in Chennai, Tamil Nadu (Chennai District)