Project Manager

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
• 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)