Responsibilities

GenAI Application Development

• Develop LLM-powered applications using Python-based frameworks. • Implement RAG pipelines and vector database integrations. • Build prompt orchestration workflows and response optimization logic.

Agentic Workflow Implementation

• Develop AI agents with tool integration capabilities. • Implement reasoning loops, memory modules, and execution controls. • Integrate AI agents into backend systems and APIs.

Deployment & Optimization

• Build REST APIs and microservices for AI applications. • Optimize inference performance, latency, and cost. • Support CI/CD pipelines and cloud deployments.

Testing & Quality

• Implement evaluation metrics for hallucination control and accuracy. • Debug and resolve performance bottlenecks. • Document code, workflows, and solution design.

Experience and Competency Requirements

• 4–8 years of software development experience. • 2+ years working with AI/ML or GenAI applications. • Strong proficiency in Python. • Experience with LLM APIs, embeddings, and vector databases. • Exposure to cloud-based deployments and containerization. • Strong analytical and debugging capabilities. • Should have decent to good experience in data handling and analytics with python

Skills

GenAI & LLM Frameworks (Mandatory)

• OpenAI APIs / Azure OpenAI • LangChain / LangGraph / LlamaIndex • Transformers (Hugging Face) • Prompt engineering and evaluation frameworks

Agentic Systems & Orchestration

• Multi-agent design patterns (MCP, A2A, ReAct etc) • Tool integrations and API orchestration • Memory frameworks and contextual reasoning • Guardrails, observability, and monitoring

Data & Infrastructure

• Vector databases (Pinecone, FAISS, Weaviate or equivalent) • Python, FastAPI, REST services • Docker, Kubernetes • Cloud platforms (AWS, Azure, GCP)

Data Handling & Analytics Skills

• Data preprocessing and ETL for structured and unstructured data • Data manipulation using Pandas, NumPy, and SQL • Exploratory data analysis (EDA) and statistical analysis • Data visualization (Matplotlib, Seaborn, Plotly, Tableau, Power BI)