Role & responsibilities

Agentic AI & GenAI Engineering- Design and build Generative AI and agent-based applications, including Retrieval Augmented Generation (RAG), autonomous and semi-autonomous agents, APIs, and orchestration workflows.

- Implement single-agent and multi-agent architectures using frameworks such as LangGraph, LangChain, LlamaIndex, and Microsoft Agent Framework.
- Apply Model Context Protocol (MCP) to standardize agent access to enterprise tools, APIs, data sources, and prompts.
- Leverage Agent-to-Agent (A2A) protocols to enable secure inter-agent communication, task delegation, and collaboration.Embeddings, Retrieval, Chunking & Memory- Design and implement embedding strategies for semantic search and retrieval.
- Apply chunking strategies (fixed, recursive, semantic, structure/layout-aware, metadata-aware) optimized for document type and use case.
- Integrate vector databases and stores (managed or open-source) and tune indexing, filtering, hybrid retrieval (BM25 + vectors), and reranking strategies.
- Implement agent memory patterns (short-term conversational memory, long-term vector memory, episodic/task memory) with lifecycle controls (TTL, redaction, minimization)



aligned to risk expectations.Python Engineering for AI Applications- Develop production-grade services using Python with a strong grasp of typing, packaging, testing, and performance profiling.
- Build async-first APIs and services using frameworks like FastAPI (or Flask where appropriate), leveraging Pydantic for data validation, schema contracts, and serialization.
- Build lightweight user experiences and operational dashboards using Streamlit for rapid prototyping and internal-facing tools.
- Implement robust observability patterns (structured logging, tracing, metrics) for AI apps and agent workflows.ML & Visualization Foundations- Apply Python ML ecosystem skills (NumPy, Pandas, scikit-learn as needed) to support embeddings, evaluation, and data preparation.
- Build explicit visualiz

Contact person Name: Sundarkanth

Contact person Number: (phone hidden)

Email ID: [email protected]

Location Details

Hexaware Technologies

11th Floor, Crescent 2 Prestige,

Whitefield Main Rd, Mahadevapura,

Bengaluru, Karnataka- 560048.

Hexaware Technologies- 10th Floor, Prestige Skytech Sky One Financial District, Nanakramguda ,RR District, Hyderabad – 50003

📌 Walk-in || GEN Developer Specialist (Bengaluru)
🏢 Hexaware Technologies
📍 Bengaluru