Overview:

nLead end-to-end development of AI-powered business use cases.

nKey Responsibilities:

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- Own lifecycle: design build test maintain
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- Build Agentic workflows, RAG pipelines, APIs
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- Optimize for accuracy, latency, and cost
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- Partner with Product Managers and business stakeholders
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nQualifications:

nExperience:

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- 810 years engineering
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- 3-4 years developing AI/ML systems (traditional and Gen AI)
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nCore Skills;

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- Strong Python (must-have) ; Go/Java/Rust nice to have
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- Experience building APIs and data pipelines
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nAI Capabilities:

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- Hands-on with:
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- Prompt engineering (system prompts, structured outputs)
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- Advanced agentic techniques, using Langchain/langGraph, CrewAI or similar
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- Using LLM APIs (OpenAI, etc.)
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- RAG pipelines
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- Basic evaluation techniques
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nData Skills:

nExperience working with:

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- JSON, document parsing, ETL pipelines
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- Ability to clean and structure messy enterprise data
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nWhat Positive Looks Like

nCan independently:

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- Build a working AI feature
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- Debug model behavior
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- Improve outputs iteratively
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nCompetencies:

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- Product thinking
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- End-to-end ownership
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- Pragmatic AI engineering
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📌 Senior Engineer - AI Use Case (Bengaluru)
🏢 Suffolk Global
📍 Bengaluru