Generative AI Engineer

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services

Position: Generative AI Engineer

Location: Atlanta GA

Duration: 6 Months

Job Type: Temporary Assignment

Work Type: Hybrid

Job Description:

Semantic Search & LLM Platforms

Job Summary:

We are looking for a Generative AI Engineer to design build and scale an enterprise AI-powered semantic search platform for API discovery and knowledge retrieval.
The role focuses on developing LLM-driven search RAG pipelines and cloud-native AI services that enable natural language interaction with large-scale technical repositories.
The ideal candidate has strong hands-on experience with LLMs embeddings vector databases FastAPI microservices and multi-cloud AI deployments and is passionate about building reliable production-grade GenAI systems.

Key Responsibilities:

Design and implement AI-powered semantic search solutions for large-scale API and technical documentation repositories.
Develop Retrieval-Augmented Generation (RAG) pipelines using OpenAI embeddings LangChain LangGraph and vector databases (FAISS pgvector).
Build and maintain FastAPI-based microservices for LLM-powered search summarization and inference with secure authentication (JWT).
Create and manage data ingestion and indexing pipelines including document chunking metadata extraction embedding generation and vector refresh workflows.
Implement multi-cloud LLM integration and routing across Azure OpenAI AWS Bedrock and GPT-4 with fault-tolerant fallback mechanisms.
Apply grounding techniques and hallucination mitigation strategies to improve response accuracy and reliability.
Define and track RAG and LLM evaluation metrics such as precisionk grounding score latency and hallucination rate.
Integrate monitoring logging and observability using LangSmith and OpenTelemetry for model performance and system health.
Deploy and scale AI services using cloud-native architectures (AWS Lambda ECS Fargate API Gateway DynamoDB S3).
Collaborate with UI/UX and platform teams to deliver intuitive interfaces for natural-language API discovery.
Contribute to CI/CD pipelines to enable automated testing deployment and versioning of AI services.

Required Skills & Qualifications Technical Skills Programming:

Python APIs & Services: FastAPI REST APIs JWT authentication Generative AI & LLMs: GPT-4 OpenAI embeddings LangChain LangGraph RAG architectures
Vector Databases: FAISS pgvector
Cloud Platforms: AWS (Lambda ECS Fargate API Gateway DynamoDB S3) Azure OpenAI AWS Bedrock AI
Evaluation & Observability: LangSmith OpenTelemetry RAG evaluation metrics
DevOps & CI/CD: Docker CI/CD pipelines cloud-native deployments.
Experience Hands-on experience building production-grade GenAI or semantic search systems
Experience working with large-scale document or API repositories
Strong understanding of LLM reliability grounding and hallucination control
Experience deploying and operating AI systems in cloud environments

Preferred Qualifications:

Experience designing enterprise knowledge search or developer productivity platforms
Familiarity with multi-cloud AI architectures
Exposure to agent-based LLM workflows
Experience mentoring or providing technical guidance to other engineers

TekWissen Group is an equal opportunity employer supporting workforce diversity.

Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services Position: Generative AI Engin...