AI Engineer

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• Build, deploy, and optimize full-stack AI-powered applications using LLMs, intelligent agents, and ML.
• Design and scale RAG pipelines, vector search systems, and LLM evaluation workflows.
• Create AI agents with frameworks such as Lang Chain, Auto Gen, Llama Index, or Lang Graph.
• Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval).
• Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows.
• Integrate enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf.
• Drive document automation and multilingual NLP (summarization, translation, NER).
• Implement observability, governance, and responsible AI practices in compliance with regulations.
• Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions.
• 5+ years in software engineering or data science, with 1+ year in GenAI/LLM/Agentic AI.
• Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD).
• Hands-on experience with AWS AI services (Bedrock, Sage Maker, Textract, Translate, etc.).
• Strong knowledge of LLMs, embeddings, prompt engineering, and tool use.
• Proven ability to prototype, iterate, and scale AI-enabled features.
• Familiarity with compliance/regulatory needs in insurance or financial services (preferred).
• AI-first developer mindset: using AI for scaffolding, testing, and refactoring code.

Job Description

AI Engineer

Must Have Technical/Functional Skills

• Build, deploy, and optimize full-stack AI-powered applications using LLMs, intelligent agents, and ML.
• Design and scale RAG pipelines, vector search systems, and LLM evaluation workflows.
• Create AI agents with frameworks such as Lang Chain, Auto Gen, Llama Index, or Lang Graph.
• Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval).
• Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows.
• Integrate enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf.
• Drive document automation and multilingual NLP (summarization, translation, NER).
• Implement observability, governance, and responsible AI practices in compliance with regulations.
• Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions.

Roles & Responsibilities

• 5+ years in software engineering or data science, with 1+ year in GenAI/LLM/Agentic AI.
• Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD).
• Hands-on experience with AWS AI services (Bedrock, Sage Maker, Textract, Translate, etc.).
• Strong knowledge of LLMs, embeddings, prompt engineering, and tool use.
• Proven ability to prototype, iterate, and scale AI-enabled features.
• Familiarity with compliance/regulatory needs in insurance or financial services (preferred).
• AI-first developer mindset: using AI for scaffolding, testing, and refactoring code.

Salary Range- $85,000-$105,000 a year

Qualifications: BACHELOR OF COMPUTER SCIENCE

Seniority level

• Seniority level
  
  Mid-Senior level

Employment type

• Employment type
  
  Full-time

Job function

• Job function
  
  Engineering and Information Technology
• Industries
  
  IT Services and IT Consulting

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