AI Technical Lead – Generative AI

Robotic Technologies Automation; Pennsylvania; On-site; USD 86,000 - 123,000; Full time

Job summary

Robotic Technologies Automation in Malvern, PA seeks an AI Technical Lead specializing in Generative AI with 10+ years of software engineering experience. You will lead design and delivery of production-grade AI applications, leveraging LLMs, LangChain, and RAG workflows.

Responsibilities include building scalable systems on AWS Bedrock, integrating with vector databases, and ensuring security and governance.

Qualifications

• 10+ years of software engineering experience.
• Strong hands-on Python programming and backend development.
• Extensive experience with Generative AI, LLMs, and foundation models.
• Strong hands-on experience with AWS Bedrock and its foundation model integrations.
• Advanced experience with LangChain and LangGraph for building LLM applications and agentic workflows.
• Proven experience designing and implementing RAG-based applications and AI agents.
• Strong understanding of prompt engineering, embeddings, semantic search, and vector search.
• Experience with vector databases such as Amazon OpenSearch, Pinecone, FAISS, or Chroma.
• Hands-on experience with AWS services, REST APIs, microservices, and distributed systems.
• Experience with Docker, Kubernetes, CI/CD pipelines, and cloud deployment.
• Knowledge of LLM security, guardrails, model evaluation, and performance optimization.
• Experience building scalable, secure, and production-ready AI applications.

Skills

Python programming

Backend development

Generative AI

LLMs

Foundation models

LangChain

LangGraph

RAG applications

AI agents

Prompt engineering

Embeddings

Semantic search

Vector search

Vector databases

AWS services

REST APIs

Microservices

Distributed systems

Docker

Kubernetes

CI/CD

Cloud deployment

LLM security

Guardrails

Model evaluation

Performance optimization

Production-ready AI

Education

10+ years software engineering experience

Tools

AWS Bedrock

Docker

Kubernetes

OpenSearch

Pinecone

FAISS

Chroma

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Technical Lead – Generative AI
Location: Malvern, PA
Duration: 9 Months + Extension
Bill Rate: $76/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

• 10+ years of overall software engineering and application development experience.
• Strong hands-on expertise in Python programming and backend development.
• Extensive experience with Generative AI, Large Language Models (LLMs), and foundation models.
• Strong hands-on experience with AWS Bedrock and its foundation model integrations.
• Advanced experience with LangChain and LangGraph for building LLM applications and agentic workflows.
• Proven experience designing and implementing RAG-based applications and AI agents.
• Strong understanding of prompt engineering, embeddings, semantic search, and vector search.
• Experience with vector databases such as Amazon OpenSearch, Pinecone, FAISS, or Chroma.
• Hands-on experience with AWS services, including:
• Strong understanding of REST APIs, microservices architecture, and distributed systems.
• Experience with Docker, Kubernetes, CI/CD pipelines, and cloud deployment.
• Knowledge of LLM security, responsible AI, guardrails, model evaluation, and performance optimization.
• Experience building scalable, secure, and production-ready AI applications.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.