Lead Software Engineer

Job summary

Build and integrate generative AI applications, APIs, agents, and tools, including RAG and LLM-based solutions. Integrate these solutions with enterprise applications and data sources, deploy and maintain them on AWS, and apply production-grade engineering practices in collaboration with AI scientists.

Job details

Responsibilities Job Description: Build and integrate GenAI applications, APIs, agents, and tools. Develop RAG and LLM-based solutions using Python and LangChain/LangGraph. Integrate AI solutions with enterprise applications and data sources. Deploy and maintain AI applications on AWS. Implement testing, monitoring, security, and production-grade engineering practices. Work with AI Scientists to productionize AI/ML solutions. Required Skills Python, REST APIs, FastAPI LangChain/LangGraph, LLMs, RAG AWS, Docker, CI/CD Vector databases and SQL

What you’ll do

Build and integrate generative AI applications, APIs, agents, and tools, including RAG and LLM-based solutions. Integrate these solutions with enterprise applications and data sources, deploy and maintain them on AWS, and apply production-grade engineering practices in collaboration with AI scientists.

Requirements

The role requires experience with Python, REST APIs, and FastAPI, along with LangChain or LangGraph, LLMs, and RAG. Candidates should also be familiar with AWS, Docker, CI/CD, vector databases, and SQL.

Listed skills

• SQL · Preferred
• REST APIs · Preferred
• CI/CD · Preferred
• Docker · Preferred
• Amazon Web Services · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• REST APIs
• FastAPI
• LangChain
• LangGraph
• Large Language Models
• Retrieval-Augmented Generation
• AWS
• Docker
• CI/CD
• Vector Databases
• SQL
• GenAI
• AI Agents
• Testing
• Monitoring

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Consulting

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