S M Software Solutions Inc
Client:
Intuit Office location:
Mountain View ,CA, US
(Onsite)
Note
Only candidates who are legally authorized to work in the United States should apply. Candidates without valid work authorization are strictly advised not to apply, as they will not be considered or submitted to the client. Role Overview
Customer Need:
The project is focused on building
production-grade GenAI solutions
with emphasis on: RAG pipelines leveraging LLMs Prompt engineering (system/tool prompts, function calling, versioning with evals) Evaluation & observability (ground truth setup, confusion metrics, LLM-as-judge with human review, cost & latency monitoring) Retrieval strategies & prompt patterns (context management, hallucination mitigation) Lang Chain/Llama Index (or equivalent) proficiency Cloud LLM providers (Azure Open AI, AWS Bedrock, Vertex AI) Workflow orchestration (Airflow, Dragster) Security & privacy (PII handling, RBAC) Python expertise with strong practical experience Success Criteria A production-ready prompt RAG pipeline system with measurable quality lift (accuracy/confusion metrics) and reduced hallucinations, backed by a repeatable evaluation harness. How To Apply
If you are interested in this exciting opportunity, please submit the following documents to
hrteam@thethinkbeyond.com
: Updated Resume in Word format (Mandatory) Expected hourly rate (Mandatory) Note:
Applications without the mandatory documents cannot be processed. If this role is not suitable for you, please feel free to forward this message to anyone who may be interested. Thank you for considering this exciting opportunity with us!
If you have any questions or need further clarification, feel free to call or text at (512) 800-8781.
#J-18808-Ljbffr
Intuit Office location:
Mountain View ,CA, US
(Onsite)
Note
Only candidates who are legally authorized to work in the United States should apply. Candidates without valid work authorization are strictly advised not to apply, as they will not be considered or submitted to the client. Role Overview
Customer Need:
The project is focused on building
production-grade GenAI solutions
with emphasis on: RAG pipelines leveraging LLMs Prompt engineering (system/tool prompts, function calling, versioning with evals) Evaluation & observability (ground truth setup, confusion metrics, LLM-as-judge with human review, cost & latency monitoring) Retrieval strategies & prompt patterns (context management, hallucination mitigation) Lang Chain/Llama Index (or equivalent) proficiency Cloud LLM providers (Azure Open AI, AWS Bedrock, Vertex AI) Workflow orchestration (Airflow, Dragster) Security & privacy (PII handling, RBAC) Python expertise with strong practical experience Success Criteria A production-ready prompt RAG pipeline system with measurable quality lift (accuracy/confusion metrics) and reduced hallucinations, backed by a repeatable evaluation harness. How To Apply
If you are interested in this exciting opportunity, please submit the following documents to
hrteam@thethinkbeyond.com
: Updated Resume in Word format (Mandatory) Expected hourly rate (Mandatory) Note:
Applications without the mandatory documents cannot be processed. If this role is not suitable for you, please feel free to forward this message to anyone who may be interested. Thank you for considering this exciting opportunity with us!
If you have any questions or need further clarification, feel free to call or text at (512) 800-8781.
#J-18808-Ljbffr