AI LLM Agent Engineer

You are an intelligent, skilled, and approachable professional with a passion for business and technology. You excel in understanding and resolving complex issues, quickly grasping technical details, and clearly communicating solutions. Your ability to simplify and streaLLMine complicated problems makes you an invaluable team member.

We are a team of innovators, strategic problem solvers, and collaboration experts who leverage analytical thinking and cutting-edge technology to address our customers' most critical challenges. Our focus is on Sales and Conversational Intelligence applications, driving smarter interactions and outcomes for our clients.

The Role

As an AI LLM  Agent  Engineer, you will be responsible for designing, building, and fine-tuning LLM models, multi-modal models, and implementing large language model (LLM) agents to solve complex business challenges. Leveraging technologies such as AWS Serverless and Bedrock, you will integrate various data modalities—including text, image, audio, and video—to create comprehensive AI solutions. You will play a key role in developing intuitive and efficient model architectures that enhance user experiences and optimize business processes across different platforms. The position demands strong  hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM based agent design and  development, and exceptional debugging capabilities

The Responsibilities

You will be responsible for implementation of LLM & Mult-modal agent solution, data pipeline integration, and metrics interpretation. This includes designing scalable and optimized solutions for training, retraining, deploying, scheduling, monitoring, and improving Agent frameworks. Key responsibilities include:

• Model & Agent POC: Conceptualize and implement POCs for multi-modal solutions, including LLM agents tailored to specific business needs. 
• Hands-on Coding: Write, test, and maintain clean, efficient, and scalable code for LLM endpoint and LLM agents, with a strong emphasis on Python programming.
• LLM Agent Framework Design and Development: Design and development of scalable LLM agent frameworks and solutions tailored to specific business needs. Focus on creating modular and extensible architectures that facilitate easy integration, deployment, and maintenance across various platforms. Leverage different Open source and closed LLM to their best strength to build robust and efficient agents. Collaborate with cross-functional teams to align agent frameworks with overall system architecture and business objectives, driving innovation in AI-powered solutions.
• Performance Monitoring: Monitor, optimize, and maintain Agent frameworks and multi-modal solutions along with LLM agents. Implement model explainability techniques, handle model drift, and ensure robustness and reliability across different data types.
• Research Implementation: Ability to read, comprehend, and implement Agent frameworks research papers into practical solutions. Stay abreast of the latest academic and industry research to apply cutting-edge methodologies and techniques.
• Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to LLM models, including model inaccuracies, performance bottlenecks, and system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
• Ethical AI Practices: Ensure that all agen tsolutions adhere to ethical guidelines and industry best practices, particularly concerning data privacy,

Requirements

• Hands-on Agent frameworks framework & Agent Coding: Extensive experience in coding LLM agents, with advanced proficiency in Python (3.10+), including knowledge of frameworks such as PyTorch, or similar.
• LLM Agent Design & Deployment: 1-2 years of experience in fine-tuning LLMs and deploying LLM agents, including practical experience with AWS Bedrock, OpenAI Function Calling, Anthropic Function Calling, CrewiAI, Meta GPT framework, and other relevant platforms.
• Strong Python Skillset: Proven track record of developing high-quality, efficient Python code, including experience with advanced Python features and best practices.
• Intermediate Agent frameworks & LLM Knowledge: Intermediate understanding of model/agent engineering, experience with AWS Bedrock agent models, and practical experience in fine-tuning models for specific use cases.
• Intermediate knowledge and development skills in deploying models and agents on cloud platforms, particularly AWS, and implementing serverless Engineerures (Utilizing AWS Lambda, Kinesis, Lambda Layer, SQS, DDB, Bedrock, OpenAI API, S3, Step Function)..
• Debugging & Troubleshooting: Expertise in debugging and fixing issues related to LLMs, including identifying root causes of errors, resolving discrepancies in model outputs, and optimizing system performance.
• Communication Skills: Excellent written and verbal communication skills in English, with the ability to present technical concepts clearly with team and clients. Should be excelling in designing utilizing mi
• Experience in understanding latest technologies/papers and implementing the sane into the solution 
• Intermediate development knowledge of Multimodal and Voice based agent and their 
• Nice to have a good understanding of multimodal solution finetune and deployment.

The Tech Stack

• LLMs and Agent frameworks Models: Expertise in working with large language models (LLMs) like GPT, Claude, Gemini, LLAMA3, Anthropic, and others, including experience in fine-tuning and deploying these models.
• AWS Platform Services: Proficiency in AWS services (Lambda, Step Functions, S3, DynamoDB, SQS, SNS, CloudWatch Logs).
• Serverless Engineering: Experience in designing and implementing serverless solutions.
• Integration Skills: Experience integrating Agent frameworks solutions and LLM agents with platforms like Salesforce and using Atlassian agile tools (Jira & Confluence).
• Communication Tools: Proficiency in using Zoom and Gong.io for communication and AI-based analysis.

Benefits

• Health Insurance, PTO, and Leave time
• Ongoing paid professional training and certifications 
• Fully Remote work Opportunity
• Strong Onboarding & Training program

Work Timings - 1 pm -10 pm IST

Expedite Commerce is launching a new Company! Re:them

About Re:them

At Re:them, we believe the future of sales is not about pushing products but empowering buyers to make informed decisions. Our AI-driven platform transforms the traditional sales process by guiding your reps to uncover the true needs of your customers through insightful questioning, driving faster, more meaningful outcomes.

EEO Statement

All qualified applicants to Expedite Commerce are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status or any other protected characteristic.