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 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) 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) Minimum Qualification Bachelor’s degree required M.Tech/ MS in Computer Science, AI, or related field preferred; Required Experience: 4-6 years