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Futran Tech Solutions Pvt. Logo
Futran Tech Solutions Pvt.
Princeton,NJ

Description

GenAI Engineer

Location - (Hybrid from Altimetrik office) Altimetrik's office locations in the USA: Southfield, MI 48075, Princeton, NJ 08540, Santa Clara, CA 95054, Austin, TX 78750, Dardenne Prairie, MO 63368, San Francisco, CA 94105. Selected candidate can work from any of the locations above as Onsite Hybrid Mode.

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)
  • LangChain/LlamaIndex (or equivalent) proficiency
  • Cloud LLM providers (Azure OpenAI, AWS Bedrock, Vertex AI)
  • Workflow orchestration (Airflow, Dagster)
  • 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.

Turn Job Alerts On
Futran Tech Solutions Pvt. Logo
Futran Tech Solutions Pvt.
Princeton,NJ

Description

GenAI Engineer

Location - (Hybrid from Altimetrik office) Altimetrik's office locations in the USA: Southfield, MI 48075, Princeton, NJ 08540, Santa Clara, CA 95054, Austin, TX 78750, Dardenne Prairie, MO 63368, San Francisco, CA 94105. Selected candidate can work from any of the locations above as Onsite Hybrid Mode.

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)
  • LangChain/LlamaIndex (or equivalent) proficiency
  • Cloud LLM providers (Azure OpenAI, AWS Bedrock, Vertex AI)
  • Workflow orchestration (Airflow, Dagster)
  • 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.


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