126 Open Ai Jobs - Page 4

Job Summary: We are looking for an innovative and technically skilled Generative AI Developer with 2 - 4 years of experience to join our team, focusing on the development and deployment of intelligent agents using Agentforce, Salesforces GenAI platform, or similar frameworks. The ideal candidate will be passionate about applying large language models (LLMs) to real-world business workflows, building conversational agents, and delivering high-impact AI-powered solutions within the Salesforce ecosystem and beyond. Key Responsibilities: • Design, develop, and deploy Generative AI agents using Agentforce, LLMs (like GPT-4), and related frameworks. • Build and integrate intelligent, context-aware workflows into CRM, support, and operational systems. • Collaborate with cross-functional teams (Product, Engineering, Data, and Business) to understand business challenges and deliver scalable AI solutions. • Fine-tune and prompt LLMs for specific use cases such as market outreach, sales assistance, document summarization, and automation tasks. • Maintain and optimize agent performance through evaluation, prompt engineering, and feedback loops. • Stay up-to-date with the latest in generative AI, Salesforce AI tools (Einstein Copilot, Agentforce), and open-source frameworks. • Create technical documentation and provide support for production deployments and ongoing enhancements. Qualifications Required : • 2 - 4 years of experience in AI/ML or Software Development, with at least 1 year working directly with LLMs or GenAI applications. • Hands-on experience with Agentforce, OpenAI, LangChain, or other GenAI frameworks. • Proficiency in Python, JavaScript, or relevant programming languages for AI agent development. • Experience integrating GenAI capabilities into Salesforce, web apps, or enterprise systems. • Strong understanding of prompt engineering, vector databases, and agent orchestration. Preferred : • Experience with Salesforce Einstein Copilot, Salesforce Data Cloud, or MuleSoft integration. • Familiarity with LLMOps, model evaluation, or responsible AI best practices. • Knowledge of REST APIs, OAuth, and cloud platforms (AWS, GCP, Azure). Preferred candidate profile

AI/ML Engineer Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API NOTE: ONLY REGISTERED CANDIDATES WILL ALLOWED TO PARTICIPATE IN THE WALKIN DRIVE https://lnkd.in/gfXVUE8U Location: Hyderabad Walkin Date: 5th July 2025 Time: 11:00 am to 3:00pm

Data Scientist—Generative AI: Design, finetune & deploy LLMs, GANs & diffusion models. Build RAG pipelines with FAISS/Pinecone; use Python, PyTorch/TensorFlow, and Hugging Face. Create ML pipelines, ensure model ethics, and deploy via cloud.

Role & responsibilities AI/ML Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Preferred candidate profile

AWS Data Engineer Employment Type: Full Time Employment Work Mode: Work From Office Job Location: Hyderabad Contact Recruiter: Anishma Alexen Walkin Date: 5-July-2025 Time: 11:00 am to 3:00pm Years of experience: 4 to 10 years (with minimum 4 years of relevant experience) Notice: Immediate to 30 days Venue: Agilisium Consulting, RMZ Spire, Tower -100, Hitec City , Hyderabad . Skillset: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Kindly complete the registration process as it mandate for participation Registration Link: https://lnkd.in/gfXVUE8U

We are an award-winning multinational professional legal services firm that provides enterprise legal solutions to global corporations and law firms located on four continents. Our unique services include review, management, and analysis for document-intensive legal matters. We use world-class process management, quality control, and technologies that enable us to deliver measurably better services and results for our clients. We are seeking an energetic, goal-oriented, and intellectually curious Generative AI professional with 4 - 9 years of experience who is interested in working collaboratively with our team members. You will be part of a global team that supports a diverse and innovative technology environment. Responsibilities Your role will involve developing, maintaining, and optimizing AI-powered applications, leveraging the latest advancements in Generative AI and machine learning. Responsibilities include: Designing, developing, and deploying Generative AI models to solve business challenges. Training and fine-tuning AI systems, including custom language models and generative models. Leveraging cloud platforms (Azure) to scale and deploy AI solutions effectively. Collaborating with cross-functional teams to integrate AI functionalities into applications. Staying updated on AI advancements and incorporating innovative solutions into the firm's operations. Documenting processes, models, and solutions. Technical Skills Minimum 3 years of experience with Generative AI frameworks and tools (e.g., AI Foundry, Copilot Agents, Azure Assistant and OpenAI). Proficiency in machine learning and AI development, including fine-tuning large language models (Claude LLMs). Strong knowledge of Python and its AI/ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Experience with Azure AI services, including Azure OpenAI or Cognitive Services. Hands-on experience in web application development (REST APIs, HTTP, web services). Knowledge of modern JavaScript frameworks like React, TypeScript, or Blazor is a plus. Experience with containerization tools like Docker and version control systems like Azure DevOps. Microsoft Certifications (e.g., Azure AI Engineer) are a plus. Qualifications Bachelor's degree in Computer Science, AI, Data Science, or a related field. A passion for innovation and staying updated on the latest trends in AI and machine learning. Good problem solving skills and a collaborative mindset with the ability to work in a diverse and dynamic team environment. Our culture empowers our team members with respect, autonomy, transparency, and opportunity in a growth-oriented environment. We are an equal opportunity employer fostering an inclusive and supportive culture.

Job Description We are seeking a Senior Software Engineer to lead and guide our engineering team in building and enhancing our internal AI Gateway platform. This platform empowers internal organizations to create and deploy AI use cases, integrating with Azure OpenAI, AWS Bedrock, Databricks, and other cloud platforms. You will drive architecture, design, and implementation of scalable data/model management pipelines, agentic AI, RAGs, tracing, and MCP server components. Essential to have hands on Development experience in Python JavaScript, TypeScript, Node JS Essential to have hands on experience in building scalable GenAI applications leveraging LLMs e.g. GPT, Claude, Anthropic using various techniques e.g. RAG, Agentic AI etc. Preferred experience in Developing GenAI Solutions using frameworks e.g. Langchain, LlamaIndex. Preferred experience in building AI pipelines for interaction via Chatbots, User Interface, Autonomous Agents. Must have excellent communication skills to understand complex AI concepts & work with architects to build the solution as well as the ability to explain it to Nontechnical Stakeholders. Preferred experience of deploying solutions on AWS with best, practices. Good to have built capabilities in GenAI backed by evaluation (any existing framework for evaluation or custom built for the specific use case).Contributions to AI research, opensource models or AI hackathons are a plus. Responsib0ilities: Lead the design and development of the AI Gateway platform and its integrations (Azure OpenAI, AWS Bedrock, Databricks, etc.). Architect and implement scalable, secure, and maintainable data/model management pipelines. Guide the team in building agentic AI, RAG (Retrieval-Augmented Generation), tracing, and MCP server solutions. Mentor and upskill team members, conduct code reviews, and enforce best practices. Collaborate with product, DevOps, and data science teams to deliver robust solutions. Drive automation and CI/CD for model and data pipeline deployments. Ensure platform reliability, observability, and security. Requirements: 7+ years of software engineering experience, with at least 2 years in a technical leadership role. Strong Python (FastAPI, asyncio), cloud (Azure, AWS), and data engineering skills. Experience with LLMs, agentic AI, RAGs, and orchestration frameworks. Hands-on with cloud ML services (Azure OpenAI, AWS Bedrock, Databricks). Familiarity with CI/CD, Docker, Kubernetes, and infrastructure-as-code.

Role & responsibilities: Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models. Design and optimize AI prompts for content generation, customer support, and business analytics. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage. Preferred candidate profile: Bachelors/Masters in Computer Science, AI/ML, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn. Hands-on experience with LLMs, prompt engineering, and model fine-tuning. Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer). Experience in workflow automation tools (e.g., Crew AI, LangChain). Knowledge of REST APIs, microservices, and containerization. Analytical mindset with a focus on process improvement. Perks and benefits: Competitive Salary and Professional development opportunities and training. Opportunity to work with cutting-edge technologies in a fast-paced environment. Collaborative and supportive work environment.

Roles and Responsibilities: Experience with Data Science, AI/ML and Generative AI technologies Extensive hands-on experience in implementing end to end projects utilizing Generative AI using Microsoft Azure AI , Open AI Extensive hands-on experience in building Generative AI application using methodologies such as RAG Experience in automating various aspects of the overall RAG pipeline for Generative AI based application Experience in designing solutions utilizing Generative AI , AI and ML components. Hands-on experience in working with Azure Open AI services or other managed large language models Experience with AI/ML, search and data services within Azure ecosystem such as Azure Open AI, AI Search, Cosmos DB, Functions, etc. Experience with evaluation, validation and refinement of results from Generative AI RAG based applications Experience with setting up monitoring, observability and guardrails for Generative AI solutions Extensive experience in Python programming languages along with popular frameworks such as Flask, Fast API, etc. Experience with AIML, deep learning, Tensor Flow, Python, NLP Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with deploying applications to Microsoft Azure or other cloud platforms. Skills PythonAI, RAG, LLM. Traditional DS, NLP, DL, AI , MLOPS, Any cloud

Excellent with Python (scikit-learn, tensorflow, matplotlib, pandas, plotly, numpy) Excellent with Exploratory Data Analysis (EDA), Feature Engineering. Machine learning: Supervised, Unsupervised, Statistical Analysis & Time Series Modeling Deep Learning: LSTM, GRU for sequential data, Variational Autoencoders (VAEs) Generative AI: NLP, Transformers (BERT, GPT), LLM, Fine-tunning LLM, Vector Databases (FAISS, Postgres) Cloud Platform: GCP, Azure, AI Agents,RAG Tools & Frameworks: Hugging Face Transformers, LangChain or LlamaIndex, OpenAI API or similar LLM APIs, Streamlit or Gradio (for prototyping) Soft Skills & Other Requirements: Strong problem-solving and analytical thinking, Ability to communicate technical concepts to non-technical stakeholders, Experience working in cross-functional teams, Familiarity with data privacy and ethical AI practices.

Working knowledge of Azure AI Working knowledge of LLM , RAG- Data insights , Reasoning Agent , Chain of thought Knowledge of Graph DB , COSMOS DB , Neo4j Prompt engineering API building Domain knowledge in Finance , data management Should have worked on enterprise AI use cases and one go live solution.

Site Reliability Engineer Required Technical Skill Set-: • Practical experience with Monitoring tools, such as: Grafana, Azure Monitor, Log Analytics, Network Monitoring and Alerting Tools (i.e. Big Panda). • Experience with Automation Tooling, such as: Azure Open AI, Amelia Automation, Service Now Orchestration, Power Apps / Power Platform, Python and PowerShell. Good foundational understanding of Agile Methodologies, AI/ML for automating operational initiatives and ITIL / Change Management processes. • Knowledge of core Azure Cloud computing concepts (AZ-900 Certification as a minimum requirement, with AZ-104 certification preferred). • Knowledge of Azure Chaos Studio for Chaos Engineering Minimum 5 mandate details are mandate with two or 3 liners 1. Implementing proactive remediation automation based on past issues / incidents and hypothesising use cases where an issue / incident may, thereby, automatically restoring stability, should the incident occur. 2. Track record of implementing Monitoring tooling to encompass: Health state of Infrastructure, Network, Log & Events, Performance, Capacity and Synthetic monitoring. 3. Experience in Data Correlation & Analysis and Configuring Alerts for detected issues / incidents. 4. Knowledge of Azure Open AI, and how various data sources can be integrated with the AI for data analysis, in order to initiate events based on informed decision making. 5. Experience in leading Blameless Post-Mortems, following production incidents / outages, in order to identify opportunities for improvement

Job Title : AI Engineer Location: Chennai Experience: 5+ Years (Hands-On Data Science & AI) Employment Type: Full-Time Work type - Work from office. About the Role We are seeking a skilled AI Engineer with deep hands-on experience in ML, NLP, LLMs, GenAI, and Agentic AI to join our technology team focused on automating US mortgage loan processing workflows. This role involves designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure. Key Responsibilities Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes. Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks. Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents. Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering. Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models. Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services). Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions. Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows. Required Skills & Qualifications 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems. Proven expertise with LLMs (e.g., OpenAI, Ollama, GPT-4, Mistral) and LangChain / AutoGen / Agentic AI design. Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers. Strong knowledge of Azure Cloud including Azure ML, Azure Functions, Azure DevOps. Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models into production-scale environments. Nice to Have Understanding of US mortgage or lending workflows (1003, 1008, bank statements, etc.). Experience with OCR, document intelligence tools (Azure Form Recognizer, Amazon Textract). Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining. Knowledge of privacy and compliance frameworks (HIPAA, SOC2) in AI deployments. What We Offer Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation. Access to top-tier tools, frameworks, and cloud platforms. Remote flexibility and career growth in an innovation-first team. Impactful work transforming legacy loan operations through AI. Interested candidates kindly share your resume to SGrace@ca-usa.com.

Primary Skills (Must have hands on Exp): Gen AI, RAG, LLM, Agentic AI, Data Science, Python, AI/ML, API Integration GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. • Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. • Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. • Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. • API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. • Documentation: Excellent documentation and communication skills. Role & responsibilities As a Technical Architect with expertise in OpenAI technology, you will play a pivotal role in the design, implementation, and optimization of AI applications and systems. You will collaborate closely with cross-functional teams, software engineers, data scientists, and product managers to ensure the successful deployment of OpenAI technology. Your responsibilities will include: Primary Responsibilities: • AI Solution Design: Lead the design of AI solutions powered by OpenAI technology, defining system architecture and components. • Technical Leadership: Provide technical leadership and guidance to development teams in implementing OpenAI solutions. • OpenAI Model Selection: Identify and recommend the appropriate OpenAI models, such as GPT-3, GPT-4, or specific language models, based on project requirements. • Scalability and Performance: Ensure that AI solutions are scalable and optimized for performance, especially when dealing with large datasets. • API Integration: Integrate OpenAI APIs and SDKs into applications and services, ensuring seamless functionality. • Model Fine-Tuning: Collaborate with data scientists to fine-tune OpenAI models for specific use cases or domains. • Data Processing: Oversee data preprocessing and feature engineering to prepare data for input into OpenAI models. • Security and Compliance: Address security and compliance considerations in OpenAI-powered solutions, particularly when handling sensitive data. • Documentation: Create and maintain technical documentation for OpenAI architectures, model usage, and best practices. • Training and Mentorship: Mentor team members and facilitate knowledge sharing and skill development. • Conduct code reviews and refactoring wherever possible Preferred candidate profile

Job Description We are seeking a Senior Software Engineer to lead and guide our engineering team in building and enhancing our internal AI Gateway platform. This platform empowers internal organizations to create and deploy AI use cases, integrating with Azure OpenAI, AWS Bedrock, Databricks, and other cloud platforms. You will drive architecture, design, and implementation of scalable data/model management pipelines, agentic AI, RAGs, tracing, and MCP server components. Essential to have hands on Development experience in Python JavaScript, TypeScript, Node JS Essential to have hands on experience in building scalable GenAI applications leveraging LLMs e.g. GPT, Claude, Anthropic using various techniques e.g. RAG, Agentic AI etc. Preferred experience in Developing GenAI Solutions using frameworks e.g. Langchain, LlamaIndex. Preferred experience in building AI pipelines for interaction via Chatbots, User Interface, Autonomous Agents. Must have excellent communication skills to understand complex AI concepts & work with architects to build the solution as well as the ability to explain it to Nontechnical Stakeholders. Preferred experience of deploying solutions on AWS with best, practices. Good to have built capabilities in GenAI backed by evaluation (any existing framework for evaluation or custom built for the specific use case).Contributions to AI research, opensource models or AI hackathons are a plus. Responsib0ilities: Lead the design and development of the AI Gateway platform and its integrations (Azure OpenAI, AWS Bedrock, Databricks, etc.). Architect and implement scalable, secure, and maintainable data/model management pipelines. Guide the team in building agentic AI, RAG (Retrieval-Augmented Generation), tracing, and MCP server solutions. Mentor and upskill team members, conduct code reviews, and enforce best practices. Collaborate with product, DevOps, and data science teams to deliver robust solutions. Drive automation and CI/CD for model and data pipeline deployments. Ensure platform reliability, observability, and security. Requirements: 7+ years of software engineering experience, with at least 2 years in a technical leadership role. Strong Python (FastAPI, asyncio), cloud (Azure, AWS), and data engineering skills. Experience with LLMs, agentic AI, RAGs, and orchestration frameworks. Hands-on with cloud ML services (Azure OpenAI, AWS Bedrock, Databricks). Familiarity with CI/CD, Docker, Kubernetes, and infrastructure-as-code.

Role: AIML Engineer Experience: 2 to 8 Yrs Notice period: 0- 10 Days Job Location: Hyderabad and Bangalore. (Hybrid) Job Description: Strong proficiency in Python for AI/ML development. Hands-on experience with OpenAI, GPT models, and LangChain or LlamaIndex. Deep understanding of Retrieval-Augmented Generation (RAG) concepts and implementations. Familiarity with vector databases like FAISS, Pinecone, or Weaviate. Good knowledge of data engineering principles (ETL, data modeling, batch/streaming pipelines). Experience with cloud platforms (Azure, AWS, or GCP) for deploying AI/ML solutions. Proficient in tools like Pandas, NumPy, Scikit-learn, and MLflow. Exposure to LLMOps, model versioning, and monitoring is a plus.

We are looking for DS Gen AI Lead with Azure Cloud experience. Location - PAN India Experience - 12+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG, Azure and Open AI Job description Deep understanding of RAG Open AI LLM embedding models Good knowledge of Vector database and how it works Experience in designing solutions Ability to do research for use cases and discuss various approaches with pros and cons Evaluate and recommend appropriate AI technologies and frameworks Lead the development and mentor development team in technical challenges Understanding of Data privacy concerns in GenAI application Excellent communication skills Ability and willingness to work late hrs as needed by business

1+ years of experience in full-stack development, particularly with Node.js and Python, Proficiency in front-end technologies (such as React, Angular, or similar) and back-end development. Familiarity with RESTful APIs is a plus

Should lead key initiatives in GenAI COE on new tech trends, R and D on new product POC Work on proposals, Provide solutions architecture design solution on different business use cases Ability to work across various different GenAI Models and cloud providers Should have a strong experience in implementing projects in Digital Engineering Or Data Analytics Technically lead a team of developers and groom talent Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug & troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints. Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS Basic data engineering skills to load structured & unstructured data from source systems to target data stores. Build and maintain data pipelines and infrastructure to support Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and should be hands on in using Agentic AI Framework, RAG

Role & responsibilities : Requirements: Strong expertise in NLP, text summarization, semantic search, and LLM APIs. Practical experience with Amazon Bedrock, OpenAI, or Hugging Face transformers. Familiar with prompt tuning and few-shot learning. Python (pandas, langchain, boto3, NumPy, etc.) Experience working with unstructured audio-to-text data (e.g., call transcripts). Key Responsibilities: Design and Development: Design, develop, and deploy LLM-based solutions for text summarization, semantic search, and other NLP tasks LLM APIs: Integrate LLM APIs from Amazon Bedrock, OpenAI, or Hugging Face transformers into existing applications Prompt Tuning and Few-Shot Learning: Implement prompt tuning and few-shot learning techniques to improve LLM performance Unstructured Audio-to-Text Data: Work with unstructured audio-to-text data, such as call transcripts, to develop accurate and efficient NLP models Python Programming: Utilize Python libraries like pandas, LangChain, boto3, and NumPy for data processing and model development Preferred candidate profile : We're seeking a highly skilled NLP Engineer with expertise in Large Language Models (LLMs) and text summarization to join our team. The ideal candidate will have hands-on experience with Amazon Bedrock, OpenAI, or Hugging Face transformers and a strong background in Python programming. This role involves working with unstructured audio-to-text data, such as call transcripts, and developing innovative solutions using LLMs.

Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelors degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset

Design, develop, & optimize AI-powered apps Implement large language models (LLMs) & generative AI apps Integrate Copilot Studio, Azure AI Search, and other AI/ML platforms into enterprise solutions RAG (Retrieval-Augmented Generation) architecture Required Candidate profile 7+ yrs of exp in Python, C#, Java, JavaScript, C++ Generative AI capabilities Strong .NET Full Stack exp 3+ yrs of experience as Full Stack Developers & AI exposure can apply not a Data Scientist role

"We're Hiring For Generative Ai Engineer Role at Bangalore Location" Position: Generative Ai Engineer Experience: 7+ Years Location: Bangalore Responsibilities Develop and deploy scalable big data and AI solutions using Databricks and Azure. Implement RAG pipelines and integrate GenAI APIs for document and image retrieval. Perform finetuning of LLM models and manage prompt engineering workflows. Ensure the end-to-end solution is optimized for performance and scalability. Collaborate with software and ML teams for integration of AI capabilities. Deploy GenAI projects in production in Azure and Databricks. (Must) Required Qualifications Bachelors or Masters degree in Computer Science or related field. 7+ years of experience in big data and AI development. Strong experience with Databricks, Pyspark, and Python. Experience in deploying GenAI projects in production. Preferred Qualifications Familiarity with RAG architecture and document-based retrieval systems. Experience with Azure OpenAI, LangChain, Pinecone or similar tools. Experience with deploying LLM, VLM Models in Cloud Experience with MLOps tools such as MLFlow or similar tools. Technologies Used Python, Pyspark, Databricks, Azure ML, LangChain, OpenAI API, Pinecone, MLFlow More information: +91 73597 10155 | rushit@tekpillar.com

V2Soft India Pvt Ltd Experience: 10+ years of experience in the field of AI and ML ( Machine Learning ) Overall Experience : Location: Bangalore and Chennai Work Mode: Hybrid Mode: Notice Period: Immediate to 30 days Experience : 3 Years of relevant experience and previous work in any related AI is a plus. Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol ) Agentic AI LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy Deploying Models on-prem and on the cloud

Role - AI/ ML Engineer Location - Gurugram We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelors or Master’s degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.