Job Responsibilities

Architect and deliver AI-driven solutions that address high‑value business needs, including document interpretation, automated decision flows, feedback generation, dashboard creation, data reconciliation, and approval management.
Lead the development of agent-based workflows using LLMs, retrieval pipelines, and multi‑agent orchestration frameworks.
Build Composite AI architectures, combining language models, search, business rules, embeddings, and analytics.
Proven experience designing, developing, and deploying Generative AI (GenAI) solutions using large language models (LLMs) such as GPT, Llama, Claude, etc
Design and optimize context pipelines—chunking strategies, prompting structure, memory systems, and vector retrieval mechanisms.
Develop robust backend components and API integrations supporting AI agents, Azure AI services, and MCP-based tools.
Experience with up-to-date GenAI frameworks and libraries (e.g., LangChain, LlamaIndex, Hugging Face Transformers).
Evaluate new use cases, propose viable AI solutions,



and guide stakeholders through feasibility and solution design.
Ensure solutions align with responsible AI standards, quality benchmarks, and enterprise governance requirements.
Collaborate with architects, product managers, and business teams to align AI initiatives with enterprise goals.
Monitor system performance, optimize agent behaviors, and evolve solutions post-deployment.
Extensive experience with Microsoft Azure services and cloud architecture patterns
Deep understanding of CI/CD pipelines, automated testing, and DevOps practices
Experience with microservices architecture, API design, and distributed systems
Experience mentoring engineers and building high-performing teams

Knowledge, Skills And Abilities

Education

Bachelor’s degree or master’s in computer science, Engineering, or related technical discipline.

Experience

3–5+ years of AI engineering experience, ideally within large organizations or enterprise platforms.
Pro

📌 Software / Platform Engineer II (Noida)
🏢 MetLife
📍 Noida