SDE Langraph
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Job Location:
Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Overview:
TekWissen is a global workforce management provider that offers strategic talent solutions to our clients throughout India and world-wide. The below client is the global software quality assurance and testing services company specializing in software testing quality management and DevOps solutions including functional performance and security testing for various software applications
Job Title: SDE -Langraph
Offshore: Mumbai
Offshore: Mumbai
Job Type: Contract
Duration: 11-12 Months
Work Type:Remote
Job Description:
- The ideal candidate has 10 years of Python experience deep expertise in evaluating and improving agent performance and strong proficiency with VLLM Docker and Kubernetes.
Key Responsibilities:
Agent Performance Evaluation
- Design and implement robust frameworks to evaluate agent performance across dimensions such as decision-making learning speed and adaptability.
Intelligence Enhancement
- Develop methodologies to improve agent intelligence enabling better reasoning adaptability and autonomous problem-solving.
Memory Architectures
- Create advanced short-term and long-term memory architectures that help agents retain and apply past experiences to future decisions.
LLM Fine-Tuning
- Fine-tune and optimize Large Language Models (LLMs) to improve contextual understanding reasoning and task performance within agents.
Agent Evaluation Metrics
- Establish quantitative and qualitative metrics to assess agent intelligence efficiency and long-term adaptability.
Feedback Loops & Reinforcement Learning
- Implement reinforcement learning strategies and feedback loops that enable agents to autonomously optimize their performance.
Optimization for Fast Learning
- Use technologies such as VLLM to ensure fast and accurate learning training and inference within agent systems.
Containerized Deployment
- Utilize Docker and Kubernetes to deploy scale and orchestrate agent systems in production environments.
Basic Qualifications
- 10 years of Python development experience with a strong focus on AI machine learning and agent-based systems.
- Proven expertise in agent performance evaluation and intelligence enhancement techniques.
- Strong experience with VLLM for fine-tuning and optimizing LLMs.
- Experience developing short-term and long-term memory architectures for intelligent agents.
- Deep knowledge of reinforcement learning self-learning frameworks and feedback-driven optimization.
- Proficiency with Docker and Kubernetes for containerization and orchestration.
- Expertise in building frameworks to assess and improve agent learning speed decision accuracy and adaptability.
- Hands-on experience with LLM fine-tuning and model optimization to improve reasoning and contextual understanding.
Preferred Qualifications
- Familiarity with advanced memory networks neural-symbolic integration and other intelligence-enhancing techniques.
- Experience deploying scaling and managing intelligent agent systems in cloud-native environments.
- Background in developing custom evaluation frameworks and performance metrics for intelligent agents.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
