Job Summary

We are seeking a highly technical LLM / AI Engineer to
build, optimize, and deploy the models that power our Agentic AI initiatives.
You will be the primary person responsible for ensuring our agents don't just
"chat," but execute with precision.

Your focus will be on model selection, prompt engineering
at scale, RAG (Retrieval-Augmented Generation) optimization, and ensuring our
AI output is grounded in our specific business logic.

This role requires a "builder" mentality,
someone who can take a raw model and turn it into a production-ready asset
that significantly shortens our support cycles

Job Responsibilities

·
Model Engineering: Implement and optimize LLM
pipelines using both proprietary (OpenAI, Anthropic) and open-source models
(Llama, Mistral) to find the best cost-to-performance ratio.

·
RAG Architecture: Build and maintain
sophisticated RAG systems to ensure agents have real-time access to our
internal documentation, customer history, and trading platform data.

·
Prompt Engineering & Tuning: Develop and
version-control complex prompt templates, utilizing techniques like Few-Shot
prompting and Chain-of-Thought to improve reasoning.

·
Evaluation & Testing: Establish
"LLM-as-a-judge" frameworks and automated testing to measure
hallucination rates, toxicity, and accuracy before agents hit the
non-production environments.

·
Tool-Use Logic: Program the logic that allows
agents to use external tools (APIs, Database queries, Moltbot functions)
reliably and safely.

·
Latency Optimization: Streamline model
inference and data retrieval to ensure the "Super Employee"
responds in near real-time, improving customer satisfaction.

·
DevOps for AI: Familiarity with LLMOps tools
for monitoring model performance and drift in production.

Essential Skills

·
LLM

·
Open AI

·
Anthropic

·
Llama

·
Mistral

·
RAG Architecture

·
Version Tunning

·
DevOps

Additional qualifications:

·
Experience in high-throughput environments
(e.g., Trading, FinTech, or Global Logistics).

·
Previous experience building and deploying
autonomous agents in a production environment.

·
Familiarity with Claude and OpenClaw
ecosystem.

Background Check required

No criminal record

Others

Work mode- Hybrid model working (3 days work from office)

Office Location-Rai Durg, Hyderabad

Interview rounds-3-4 rounds of interviews.