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Tech Lead; AI

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-06-07
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 160000 - 180000 USD Yearly USD 160000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Tech Lead (AI)

Role:
Tech Lead (AI) Department:
Wealth Management

Location:

Alpharetta, GA and NYC, NY (3 days onsite in a week) Position Type:
Fulltime Salary: $160K-$180K H1B transfer is fine Skills

  • GenAI & MLOps
  • LLM, RAG, Elastic Search
  • Hands‑on Python coding & code review
  • Chatbot Development
  • NLP
  • MCP
Role Summary

We are seeking a hands‑on AI Tech Lead to design and build enterprise‑grade LLM and RAG‑based solutions. The role requires strong expertise in Generative AI, system design, and scalable architecture, along with the ability to lead development and optimize real‑world AI applications.

Key Responsibilities
  • Design and implement LLM‑powered applications using RAG, embeddings, and agentic AI
  • Build scalable end‑to‑end AI architectures integrating enterprise data
  • Optimize LLM performance (RPM, TPM, latency, cost)
  • Improve accuracy by handling hallucinations and retrieval issues
  • Work with Azure AI Services and AI Gateways
  • Ensure data security and masking for sensitive information
  • Lead hands‑on development (Python / APIs)
Core Skills
  • Strong experience in Generative AI, LLMs, and RAG
  • Prompt engineering (temperature, top‑p)
  • Vector databases & embeddings
  • API integrations (OpenAI / Azure OpenAI)
  • Solid coding in Python (mandatory);
    Java/Spring Boot (preferred)
  • Experience in system design and scalable architectures
Must Have
  • End‑to‑end LLM + RAG implementation experience
  • Strong problem‑solving & debugging skills
  • Ability to translate business requirements into technical solutions
  • Prior client‑facing / leadership experience
Good to Have
  • Experience with MCP, Agentic AI
  • Exposure to Banking / Financial domain
Ideal Candidate
  • A hands‑on AI lead who can architect, code, have hands‑on experience in production environment and scale real‑world GenAI solutions in enterprise environments.
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