AI Technical Lead – Generative AI

Valiant Technologies LLC; Pennsylvania; On-site; USD 86,000 - 123,000; Full time

Job summary

Valiant Technologies LLC in Malvern, PA seeks an AI Technical Lead specialized in Generative AI to drive design and implementation of enterprise-grade AI solutions. The role requires hands-on leadership with Python backend development, LLMs, and experience deploying on AWS Bedrock, LangChain, and vector databases.

You will guide architecture, governance, and production readiness for scalable AI apps. Candidates should have 10+ years of software engineering, strong knowledge of distributed

Qualifications

• 10+ years of software engineering and application development experience.
• Strong hands-on expertise in 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, 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.

Responsibilities

• 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 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.

Skills

Python

Generative AI

AWS Bedrock

LangChain

LangGraph

RAG

Prompt engineering

Embeddings

Vector search

Vector databases

Docker

Kubernetes

REST APIs

Microservices

LLM Security

Tools

Python

AWS

CI/CD

Cloud deployment

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.