Job Description
Job description
Exp - 5 to 8 years
Immediate Joiners Only
Key Responsibilities:
• Agent Orchestration: Design and implement complex agentic workflows using LangChain and LangGraph. Manage state, cyclic graphs, and decision-making loops for autonomous agents.
• LLM Evaluation (LLM-as-a-Judge): Build robust evaluation pipelines. specific code/prompts where a stronger model (e.g., GPT-4) acts as a judge to verify the accuracy, safety, and adherence of the application's responses against strict requirements.
• Model Optimization: Execute Prompt Tuning and advanced prompt engineering strategies to align model outputs with user needs. Manage invocation calls to various foundation models (OpenAI, Anthropic, Open Source).
• Data Integrity: Analyze input/output data streams to ensure strict adherence to project requirements and schema validation.
• Ownership: operate as a core independent contributor.
Required Technical Skills:
• Deep expertise in Python and the modern AI stack.
• Orchestration: Proven experience with LangChain; specific experience with LangGraph for multi-agent systems is highly preferred.
• Evaluation: Experience implementing "LLM-as-a-Judge" patterns, or similar evaluation frameworks.
• Fine-Tuning: Understanding of PEFT (Parameter-Efficient Fine-Tuning) and Prompt Tuning techniques.
Exp - 5 to 8 years
Immediate Joiners Only
Key Responsibilities:
• Agent Orchestration: Design and implement complex agentic workflows using LangChain and LangGraph. Manage state, cyclic graphs, and decision-making loops for autonomous agents.
• LLM Evaluation (LLM-as-a-Judge): Build robust evaluation pipelines. specific code/prompts where a stronger model (e.g., GPT-4) acts as a judge to verify the accuracy, safety, and adherence of the application's responses against strict requirements.
• Model Optimization: Execute Prompt Tuning and advanced prompt engineering strategies to align model outputs with user needs. Manage invocation calls to various foundation models (OpenAI, Anthropic, Open Source).
• Data Integrity: Analyze input/output data streams to ensure strict adherence to project requirements and schema validation.
• Ownership: operate as a core independent contributor.
Required Technical Skills:
• Deep expertise in Python and the modern AI stack.
• Orchestration: Proven experience with LangChain; specific experience with LangGraph for multi-agent systems is highly preferred.
• Evaluation: Experience implementing "LLM-as-a-Judge" patterns, or similar evaluation frameworks.
• Fine-Tuning: Understanding of PEFT (Parameter-Efficient Fine-Tuning) and Prompt Tuning techniques.
💡 Quick Summary
Seeking a career-building opportunity? The AI LLM Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Hyderabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
