AI Engineer for LLM Inference and Integration

@tadinhkien

Greetings, Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@EngrAnasAwan5

With more than six years of professional experience and a track record of delivering reliable AI systems across multiple industries, I believe I'm the perfect fit for your AI Engineer role. I specialize in deploying production-grade AI systems and have a strong understanding of LLM inference, pre-trained language models, as well as prompt engineering techniques; all skills that are key to tailoring AI outputs that are reliable and safe for your business needs. Moreover, my proficiency in Python and experience with REST-based AI inference APIs make me adept at handling the programming and integration aspects required for the job. Not only do I deploy AI models, but I also understand the importance of monitoring them for biases, factual accuracy and domain relevance to ensure safety and consistency. Additionally, my experience with regulated enterprise environments will help me design interactions that respect data sensitivity and compliance requirements. Over the course of my career, I have completed over 180 AI/ML projects with a 100% on-time & on-budget delivery record, receiving a perfect 5.0 client rating. My clients value my clear communication style, structured delivery approach and, most importantly, sustainable code that is efficient in production. If you're looking for an AI engineer that focuses not only on building models but also on delivering end-to-end solutions that work at scale in the real world.

@KarthikTechCon

Hi, I’m Karthik, an AI engineer with 10+ years of experience in LLM inference, model integration, and enterprise AI solutions. I can help configure, validate, and integrate pre-trained open-source LLMs to deliver reliable, safe, and business-aligned outputs for BFSI and enterprise scenarios. I specialize in prompt engineering, tokenization, context window management, tuning inference parameters, and defining response guardrails to control hallucinations and unsafe outputs. I’ve designed AI evaluation frameworks, created test prompts and datasets, and documented model behavior, limitations, and enterprise usage guidelines. I am proficient in Python, REST-based AI API integration, and downstream system connections, with a strong understanding of regulated environments, data sensitivity, and compliance requirements. Experience with on-prem K8 deployments, AI safety, and enterprise-ready chat assistants ensures your models are production-ready, accurate, and safe. I can work closely with your platform team to implement, test, and document LLM inference behavior with full auditability and operational clarity. Best regards, Karthik

@citijayamala

I have successfully developed AI agents for social media management (Meta/Facebook), customer support, lead generation, and appointment booking—all powered by n8n and integrated seamlessly with existing business systems. My expertise lies in designing end-to-end automation workflows that combine n8n orchestration with advanced AI models such as OpenAI GPT-4, Claude,Vapi, LLaMA, and other state-of-the-art LLMs, enabling intelligent, context-aware, and scalable business solutions. Sure, I can handle your project on LLM Inference and Integration. Kindly please connect in chat to discuss. I specialize in: • n8n Workflow Development: API integrations, webhook automation, multi-step workflows, and data transformations. • AI Agent Design: Conversational models, NLP/NLU pipelines, prompt engineering, and fine-tuning for domain-specific tasks. • Cross-Platform Integration: Social media APIs (Meta/Facebook, Instagram, LinkedIn), CRM systems, email marketing platforms, and custom backend systems. • Automation Infrastructure: Self-hosted n8n on Docker/VPS, cloud deployments, API authentication (OAuth, tokens), and data security best practices. • Advanced Use Cases: Intelligent lead qualification, AI-driven customer engagement, automated scheduling, and content generation pipelines. Whether it’s creating a fully automated sales funnel, AI-powered content research tool, or real-time customer support agent, I deliver secure, documented, and scalable solutions tailored to business needs.

@realroshan102

Hi, I've thoroughly reviewed your project for an AI Engineer specializing in LLM Inference and Model Integration. With solid experience in working with open-source pre-trained LLMs and strong Python skills for inference API integration, I am confident in configuring models for BFSI needs while ensuring reliable, safe AI outputs. My approach includes defining precise prompt structures, tuning generation parameters, and rigorously validating responses for accuracy and compliance, especially in regulated environments. I will document AI behavior comprehensively for audit readiness and collaborate smoothly with platform teams for seamless integration. I can start immediately and deliver initial configurations and tests within 14 days. What specific open-source LLMs or toolkits are you currently using or planning to integrate? Thanks, Roshan

@pluralcode16

With my strong grasp of Python, I am exceptionally well-suited for the LLM Inference and Model Integration role you have available. Over the years, I have gained a solid comprehension of LLM inference concepts, working extensively with pre-trained language models to understand their behavior, improve their outputs, and ensure their alignment with business needs. This expertise has equipped me with robust knowledge in prompt engineering techniques, tokenization, context windows, and response generation, making me an ideal fit for your project's technical requirements. In addition to honing AI interaction and testing skills using REST-based AI inference APIs and calling on my proficiency in Python for programming and integration purposes, I also bring a unique line of experience in regulated enterprise environments- an incredibly valuable trait when working on an AI project like yours. Furthermore, my ability to design AI interactions that avoid sensitive data exposure aligns excellently with your need for BFSI & Enterprise Readiness. My work record showcases a deep understanding of data sensitivity and compliance requirements - attributes I will employ to help integrate the AI capabilities into your applications without jeopardizing compliance.

@arshig8

As a passionate AI engineer with expertise in NLP and vast experience, I confidently advocate my skills for this project. My understanding of tokenization, context windows, and response generation combined with my ability to analyze and enhance model output quality are the bedrock of successful LLM integration. I have configured and validated LLM inference behavior extensively, emphasizing reliability and safety, skills that will ensure your AI outputs align seamlessly with your business needs. Moreover, I possess a strong programming acumen, particularly in Python - a driving force behind proficient interaction with AI systems. My familiarity with calling REST-based AI inference APIs and integrating AI responses into downstream systems makes me perfectly positioned to handle and streamline such crucial aspects of your project. It is noteworthy to mention that nOTP, not only am I well-versed in digital environments but also have an awareness of regulated enterprise scenarios similar to BFSI domains. This guarantees due diligence throughout the project execution phase by adhering meticulously to data sensitivity and compliance requirements. Additionally, I bring robust documentation skills that ensure meticulous reporting at every stage of the process, an essential attribute for audit and review purposes in regulated industries like yours. I'd be thrilled to bring my creativity, proficiency, and industry insights to maximise your Large Language Model endeavours.

@paruls154

Hi As an AI-driven full-stack web and mobile app developer with a decade of hands-on experience, your LLM Inference & Model Integration project aligns perfectly with my expertise. My knowledge in pre-trained language models and understanding of LLM inference concepts will ensure smooth configuration, validation, and fine-tuning of the models to precisely meet your needs. Moreover, my dedication to transparent collaboration and maintaining clarity throughout each project will provide you with a steady stream of responsive updates, ensuring no detail is missed. Let me leverage my skillset to craft tailor-made solutions for you that boost business efficiency within your defined compliance requirements. With me as a part of your team, you can be confident that together we'll create reliable AI outputs aligned fully with your distinct business necessities. Regards Parul Saini

@ssquare489

I am Sumit Joshi from Sacesta Technologies. LLM inference and behavior tuning • Configure and validate model behavior for real-world business use cases • Tune temperature, max tokens, top-p, and context windows to balance creativity and determinism • Define response formats and prompt structures that are predictable and application-safe Prompting and output quality • Design prompts for structured, auditable outputs suitable for enterprise and BFSI • Create test prompt suites and evaluation sets to benchmark consistency and accuracy • Identify hallucination patterns and apply prompt and policy-based guardrails Model evaluation and safety • Validate responses for factual accuracy, bias, and domain relevance • Define acceptance criteria and rejection thresholds for AI outputs • Apply filtering and safety layers for unsafe or off-domain responses Programming and integration • Use Python for prompt testing, batch inference, logging, and response analysis • Integrate inference APIs into downstream systems with clean contracts • Design AI usage patterns for internal tools and customer-facing flows Relevant experience • Built AI-driven systems for medical, finance-style, and enterprise SaaS platforms involving strict output control, RAG patterns, and safe response design • Worked on AI assistants and automation workflows where model reliability and guardrails were non-negotiable

@chiragardeshna

Hi there, I have reviewed your project titled AI Engineer for LLM Inference and Integration and I am a strong fit due to my experience shaping reliable LLM inference behavior for enterprise and regulated environments. I have over 7 years of experience working with AI-driven systems, including configuring LLM inference, prompt structures, response schemas, and tuning parameters such as temperature, max tokens, and context length. I regularly work with Python, REST-based inference APIs, open-source LLMs, and structured evaluation workflows to validate accuracy, safety, and domain relevance. I reduce client risk by defining clear acceptance criteria for AI outputs, building repeatable test prompts, and documenting model behavior, limitations, and guardrails for audit readiness. I am comfortable designing AI usage patterns for BFSI scenarios while avoiding sensitive data exposure and aligning with on-prem K8 deployment constraints. I am available to start immediately. Regards Chirag

@WiredAI

I’m WiredAI, an AI engineering agency with hands-on experience in LLM inference, prompt engineering, and enterprise AI integrations. I’ve delivered multiple PoCs and production pilots using open-source LLMs, focusing purely on model behavior, output reliability, safety, and business alignment—not infrastructure ops. I specialize in: Configuring & validating LLM inference behavior Designing prompt structures, response schemas, and guardrails Tuning temperature, max tokens, context windows Evaluating outputs for accuracy, hallucination control, bias, and domain relevance Creating test prompts, acceptance criteria, and evaluation datasets Python-based inference testing & REST API integrations BFSI-ready AI usage patterns, audit documentation, and compliance-safe interactions I work closely with platform teams for seamless integration while keeping AI predictable, safe, and enterprise-ready, including on-prem K8 inference environments.

@Mayanks010

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Mayank Sahu

@chiragm078

As a seasoned AI Engineer with a focus on LLM Inference and Model Integration, I have developed an in-depth understanding of LLM behavior, including prompt structures, response formats, and inference parameter tuning. My skill set aligns perfectly with the key responsibilities of this role: configuring LLM inference, evaluating model responses for accuracy and consistency, and designing AI usage patterns for BFSI scenarios. What sets me apart is my ability to analyze and improve model output quality as well as define acceptance criteria for AI outputs. In my previous projects, I’ve emphasized on factual accuracy, bias and unsafe outputs, and domain relevance - aspects critical for reliable and safe AI outputs aligned with business needs - just like your project demands. My aim has always been to ensure that not only do the models behave, but they also benefit their applications. Moreover, my strong proficiency in Python will enable smooth AI interactions and testing within your existing infrastructure. Additionally, my awareness of regulated enterprise environments and understanding of data sensitivity and compliance requirements make me the perfect candidate to design AI interactions that avoid sensitive data exposure within BFSI scenarios. I’m thrilled about the opportunity to work with you; let’s bring your LLM integration project to fruition!

@mariamz24

Hello Mihir K., We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Python, Compliance, REST API, Prompt Engineering, AI Chatbot Development, AI Model Development, Large Language Models (LLMs), AI Development Please come over chat and discuss your requirement in a detailed way. Thank You

@SergMakh

I'm ready to complete in the highest quiality. Hi there, Your need for an AI Engineer with hands-on expertise in LLM inference and business-aligned integration is exactly where I can deliver results you can count on. I’ve worked extensively with pre-trained language models, focused on fine-tuning prompt structures and parameters to ensure reliable and accurate responses that are safe for enterprise and BFSI use cases. My approach ensures each AI interaction is tested, documented, and controlled for both factual accuracy and regulatory compliance, giving you full confidence in every output. I’m well-versed in Python, REST API integrations, and the nuances of prompt engineering, tokenization, and model evaluation—including creating robust guardrails to prevent hallucinations and unsafe content. You’ll benefit from thorough documentation, clear AI usage guidelines, and integration support with your platform teams, making sure your AI solution is enterprise-ready, auditable, and aligned with your business goals. Let’s connect to discuss your project’s specific needs and how I can help you deliver secure, high-quality AI capabilities. Best regards, Sergey

@himanshus642

Hello, I’m an AI Engineer with hands-on experience in LLM inference, prompt engineering, and model behavior tuning for enterprise-grade applications. I specialize in integrating and validating pre-trained open-source and API-based language models with a strong focus on output reliability, safety, and business alignment. For this role, I can help with: • Configuring and validating LLM inference behavior • Designing prompt structures and response formats • Tuning inference parameters (temperature, max tokens, context windows) • Evaluating outputs for accuracy, consistency, and hallucination control • Building test prompt sets and evaluation datasets • Defining guardrails and response boundaries for enterprise & BFSI use cases • Integrating AI inference via REST APIs using Python • Documenting model behavior, limitations, and usage guidelines I have worked on AI PoCs, internal assistants, and business-facing AI tools where response quality, compliance, and data sensitivity were critical. I understand regulated environments and design AI workflows that avoid sensitive data exposure. I focus on making AI systems predictable, explainable, and production-ready. Happy to discuss your use cases and start immediately. Best regards, Himanshu

@shailender18

With over a decade of experience as a full-stack developer, I'm well-versed in the languages and tools you require for AI and LLM inference. I've had extensive exposure to language models, including pre-trained ones, and a strong understanding of how these models behave and respond, ensuring their alignment with business objectives. My ability to validate AI responses for accuracy, consistency, safety, and relevance aligns perfectly with your needs. I thrive in enterprise environments and understand the necessity for documentation within regulated sectors like BFSI. My experience with data sensitivity and compliance requirements will drive designs that ensure sensitive data stays secure at all times. I also offer a unique perspective: though I don't directly handle Kubernetes operations, my familiarity with backend system architecture and cloud deployment (including K8) allows me to smoothly integrate my work into your platforms. My passion for improving model output quality is complemented by my proficiency in Python, which is crucial for testing and tuning inference parameters. In addition to this, my expertise in deploying REST-based AI inference APIs will further facilitate my integration into your applications effectively. Lastly, my experience with AI audits makes me an ideal candidate for documenting your AI behavior for future auditing purposes.

@Solutionzhere

Hey there, SolutionzHere delivers enterprise LLM inference. We configure open-source models (Llama/Mistral) for BFSI, tune prompts/parameters, evaluate outputs for safety/accuracy, and integrate via Python APIs with on-prem K8s deploys. ​ ₹2,10,000 fixed (full scope: inference setup, guardrails, docs, testing), 3–4 week delivery. One key question: specific models (Llama3, Mistral?) and K8s infra details (GPU nodes ready)? Cheers, SolutionzHere Team

@rahulb058

Drawing from my rich experience in both AI and Full-Stack Development, I am your ideal candidate for this role. I have a solid understanding of LLM inference concepts and have previously worked on pre-trained language models. Through my work, I have developed an in-depth understanding of prompt engineering techniques, tokenization, context windows, and response generation which are integral to this project. Moreover, my commitment to reliability and safety aligns well with the crucial task of ensuring AI outputs are safe and aligned with business needs. My experience in validating AI responses for factual accuracy, bias and unsafe outputs will perfectly design acceptance criteria for the AI outputs your project requires. In my career, I have maintained a strong focus on data sensitivity and compliance requirements which makes me aware of the needs of regulated enterprise environments. Lastly, my strengths in Python, REST-based API calls, integrating with downstream systems combined with analytical abilities to validate model outputs make me a valuable addition for your project. With me on board not only will you be tapping into deep competencies that match your LLM inference requirements well but also a "+" with skills like SQL, ETL & Data Processing that might come handy down the road. Let's work together to create maximum impact and value!