Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.
Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.
Sr. AI Engineers / Architects
2-3 days / week in the client’s Irvine office, 1 day in their downtown LA office, 1 day remote
Long Term Contract
Any Visa
Mandatory Areas
• AI/ML Solution Architecture
• LLM & Generative AI Development
• Agent-Based Systems
• Retrieval-Augmented Systems (RAG)
• Enterprise AI Integration
Must Have Skills
• Skill 1 – Generative AI / LLM (RAG, embeddings, prompt engineering)
• Skill 2 – AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)
• Skill 3 – Vector Search & Retrieval Systems (OpenSearch / vector DB)
• Skill 4 – Graph Databases (Amazon Neptune, knowledge graphs)
• Skill 5 – LLM Frameworks (LangChain / LlamaIndex)
• Skill 6 – Agentic AI Frameworks (LangGraph / AutoGen / CrewAI)
• Skill 7 – Databricks & Apache Spark (data pipelines, embedding pipelines)
• Skill 8 – Backend/API Development (Python, scalable APIs, microservices)
________________________________________
Domain Experience (If any) –
• AI/ML Platform Engineering
• Generative AI / LLM Applications
• Data Platform / Big Data Engineering
What You Need:
At least 8+ years of experience in AI/ML, Data Science, or Software Engineering
Strong Python backend development experience
Hands-on experience with LLM-enabled applications and Generative AI
Experience building agent-based / agent-oriented AI systems
Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)
Experience with API development and backend system integration
AWS cloud-native development experience
Experience with CI/CD pipelines and environment management
Strong understanding of observability (logging, monitoring, tracing)
Experience deploying ML models in production environments
Exposure to enterprise AI workflows, automation, and governance models
Nice to Have Certifications –
• AWS Certification (Preferred):
• AWS Certified Solutions Architect OR
• AWS Certified Machine Learning Specialty OR
• AWS Data Engineer Certification
ML / AI certifications are good to have
Regards,
Puneet.
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