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Wissen Logo Wissen · IT - Software Development

AI Solution Engineer

India, Bangalore South · Job Posted May 03, 2026
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Job Description

We are seeking a highly skilled Applied AI Engineer with 4–10 years of software engineering experience and 1–3+ years of hands‑on applied AI development. This role focuses on building AI‑powered solutions including RAG pipelines, LLM‑based agents, automation workflows, and production-grade AI systems for a major global bank’s enterprise transformation program. This is a hands-on builder role—ideal for engineers who have shipped real AI systems, worked with LLM APIs, and built retrieval/agentic workflows using modern AI tooling

Job Responsibility

  • Design, build, and deploy RAG (Retrieval-Augmented Generation) pipelines using modern retrieval frameworks and vector databases
  • Build LLM-powered applications using APIs such as Claude / Anthropic or equivalent LLM stacks
  • Develop AI workflows using LangChain or similar orchestration frameworks for chaining, tool use, and multi-step reasoning
  • Build AI agents and workflow automation systems capable of autonomous, multi-step task execution
  • Implement vector storage, embedding pipelines, indexing strategies, and retrieval architectures
  • Work with business stakeholders to translate ambiguous requirements into actionable AI engineering solutions
  • Implement governance components—logging, monitoring, cost controls, and safe-execution patterns
  • Collaborate with cross-functional teams (engineering, product, data, and business teams)
  • Contribute to architecture discussions, design reviews, and technical decision-making
  • Ship production-ready AI systems with strong testing, observability, and reliability

Requirements

  • Hands-on RAG development including retrieval systems, chunking, indexing, evaluation, and pipeline orchestration
  • Experience with NotebookLM, RAG tooling, notebooklm-py, or similar retrieval libraries
  • Strong experience with Claude / Anthropic APIs, Claude Code, or equivalent LLM provider APIs
  • Proficiency with vector databases: Pinecone, Chroma, Weaviate, or similar
  • Strong understanding of embedding-based retrieval, indexing strategies, and vector search
  • Practical experience with LangChain or other AI orchestration frameworks
  • Experience building AI agents/workflows beyond simple chatbots
  • Strong Python development skills—Python-first tooling
  • Demonstrated experience shipping production-grade AI systems
  • Ability to work directly with non-technical stakeholders and explain technical concepts clearly
  • 4–10 years in software engineering with 1–3+ years focused on applied AI

Nice to have

  • Awareness of LLM governance, monitoring, cost control, and responsible AI practices
  • Strong GitHub portfolio with published AI projects (highly valued by the client
  • can offset lack of advanced degrees)
  • Experience with financial services is a plus, but not mandatory
  • Knowledge of real-world AI evaluation, benchmarking, and observability
  • Understanding of retrieval metrics, vector optimization, and agent evaluation frameworks
  • Exposure to multi-tenant AI systems, enterprise-grade AI workflows, or secure AI deployments
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