LLM Engineer | 2026HP02006/#bpRLsuyn at Mindverse Consulting Services Limited

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Llm, Open Ai, Anthropic, Llama, Mistral, Rag Architecture, Version Tunning, Devops, Prompt Engineering, RAG Optimization, Tool-Use Logic, Latency Optimization, LLMOps

Industry

IT Services and IT Consulting

Description

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.

Responsibilities

The engineer will be responsible for building, optimizing, and deploying LLM models for Agentic AI initiatives, focusing on model selection, prompt engineering at scale, and RAG optimization to ensure precise execution grounded in business logic. Key tasks include implementing and optimizing LLM pipelines using proprietary and open-source models, building RAG systems, developing prompt templates, and programming tool-use logic for external APIs.