GEN AI / AI/ML Engineer - San Jose, CA (Hybrid)

Hybrid in San Jose, CA, US • Posted 6 hours ago • Updated 56 minutes ago
Contract W2
Contract Independent
Hybrid
$80 - $85/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI/ML. GenAi
  • RAG
  • LLM
  • NLP
  • Python

Summary

Looking for near to Bay Area consultants.

Remote position. Once in a month onsite.

Available rate : $80/hr - $85/hr on W2 (without benefits)

About R Systems:
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Company Link:

Job Description:

  • Engineers to design and implement RAG-based and agent-driven GenAI systems
  • Work on LLM orchestration, intent resolution, and evaluation frameworks

Scope of Work:

  • Build RAG pipelines (retrieval + generation)
  • Develop multi-agent systems and orchestration logic
  • Implement intent classification and entity extraction
  • Optimize LLM usage for cost and performance
  • Design and execute evaluation frameworks (accuracy, benchmarking)

Must Have:

  • Experience with AWS Bedrock (Knowledge Bases, embeddings, Claude LLMs)
  • Hands-on with agent frameworks (AgentCore, LangChain, LangGraph, or similar)
  • Strong understanding of RAG architecture (chunking, embeddings, hybrid search)
  • Prompt engineering (system prompts, few-shot, CoT, intent prompts)
  • Strong Python skills
  • Experience with multi-agent orchestration patterns
  • Knowledge of LLM cost optimization techniques
  • Understanding of NLP concepts (intent classification, entity resolution)
  • Experience with evaluation frameworks (e.g., RAGAS or similar)

Good to Have:

  • Experience with tool integration in agents
  • Knowledge of LLM observability and monitoring
  • Prior experience building production-grade GenAI systems

Why Join R Systems?
  • Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
  • Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
  • Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
  • Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
  • E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
  • Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.
If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
#LI-AP2
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
Employers have access to artificial intelligence language tools ( AI ) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: rsystems
  • Position Id: Gen-AI
  • Posted 6 hours ago
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