Hiring for AI Developer | Jaipur

ThoughtWin - A CMMI Level 3 Company

Jaipur

On-site

INR 203,112 - 243,288

Full time

14 days+
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Job summary

ThoughtWin - A CMMI Level 3 Company seeks an AI Developer in Jaipur to build agentic workflows and deploy autonomous AI agents. The role involves designing multi-step reasoning, tool usage, and monitoring of AI outputs to ensure safety and cost efficiency.

Responsibilities include developing SLM-based solutions, tuning small language models, and producing robust APIs and backend services for AI applications on on-site infrastructure in Vaisahli Nagar, Jaipur.

Responsibilities

  • Build agentic workflows.
  • Design and implement autonomous / semi-autonomous AI agents.
  • Orchestrate multi-step reasoning, tool usage, and decision loops.
  • Develop SLM-based solutions.
  • Fine‑tune and deploy small language models for cost‑efficient use cases.
  • Optimize models for latency, privacy, and edge deployment.
  • Experiment with quantization, distillation, and local inference.
  • Improve retrieval quality via re-ranking, hybrid search, and prompt strategies.
  • Productionize AI systems.
  • Build APIs and backend systems for AI applications.
  • Ensure monitoring, evaluation, and guardrails for AI outputs.
  • Handle scaling, caching, and cost optimization.

Job description

Job Details

Title: AI Developer
Location: Vaisahli Nagar, Jaipur
Experience: 6 months
Salary: ₹20k

Responsibilities
  • Build agentic workflows.
  • Design and implement autonomous / semi-autonomous AI agents.
  • Orchestrate multi-step reasoning, tool usage, and decision loops.
  • Develop SLM-based solutions.
  • Fine‑tune and deploy small language models for cost‑efficient use cases.
  • Optimize models for latency, privacy, and edge deployment.
  • Experiment with quantization, distillation, and local inference.
  • Improve retrieval quality via re-ranking, hybrid search, and prompt strategies.
  • Productionize AI systems.
  • Build APIs and backend systems for AI applications.
  • Ensure monitoring, evaluation, and guardrails for AI outputs.
  • Handle scaling, caching, and cost optimization.
Data & Evaluation
  • Create evaluation pipelines for LLM/SLM performance.
  • Define metrics for hallucination, accuracy, and usefulness.
  • Work with structured and unstructured datasets.
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