69 Open Ai Jobs - Page 2

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 Location: Chennai Walkin Date: 26th July 2025 Time: 11:00 am to 3:00pm

Collaborate with cross-functional teams to analyse, design, and ship new features for our mobile applications. Develop high-quality software design and architecture. Work closely with product management and UX/UI designers to implement user- friendly interfaces. Diagnose and fix bugs and performance bottlenecks for performance that feels native. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Stay updated with the latest trends and best practices in mobile application development.Skills Requirements: - Required: 4 - 8 years of relevant experience in iOS native development using Objective C / Swift and cross-platform app development using Flutter. Strong proficiency in IOS & Flutterfor building high-quality, high-performance mobile applications. Solid understanding of the full mobile development life cycle. Excellent problem-solving skills and ability to think critically. Must have experience with Dart, Swift. Familiarity with RESTful APIs to connect mobile applications to back-end services. Strong understanding of design patterns like BLoC, MVP, MVVM, and MVC. Experience working with SQLite, BLE, Wi-Fi, Firebase and Push Notification. Good knowledge on scrum and agile practices. Knowledge of UI/UX best practices and design standards Excellent debugging skills and knowledge of debug and test tools like layout Inspector, App Inspection and memory profiling etc. Strong communication skills and ability to work effectively in a team. Good Academic Records with > 60% marks and no gaps. Preferred: Demonstrated track record of introducing new ideas, processes, or technologies that have positively impacted a project, team, or organization. Understanding of security best practices in CI/CD pipelines, including vulnerability scanning, code analysis, and secure configurations to maintain a high level of application security. Understanding of cloud services example AWS. Knowledge of AI tools (Open AI, GitHub Co-pilot).

Job Title : Dot Net Architect Location : PAN INDIA Qualification : Graduation/Post-Graduation Experience : 11+ Years Required skills - Experience in .Net Architect Experience in .Net Core, Azure Experience in Angular or React Experience in Gen AI Mandatory Excellent communication skill. Interested candidates can send their resume and below details at priyanka.v@sigmacareers.in 1. Notice Period (LWD)- 2. Current CTC- 3. Expected CTC Per Month- 4. Current company- 5. Total year of experience- 6. Relevant experience- 7. Do have any offer how much offer you are having offer- 8. Current location- 9. Preferred location- Pune/ Bangalore

Job Title: Python AI/ML Engineer Location: Gurugram Experience: 5 to 8 years Job Summary: We are looking for a passionate and skilled Python AI/ML Engineer who brings strong expertise in building AI/ML solutions, productionizing models, and contributing to end-to-end ML pipelines. The ideal candidate should possess deep knowledge of traditional and deep learning concepts, hands-on programming capabilities, experience in enterprise-grade software engineering, and a good understanding of MLOps practices. Key Responsibilities: Design, develop, and deploy scalable machine learning models for classification, regression, NLP, and generative tasks. Build and optimize data transformation workflows using Python and Pandas. Lead AI/ML project pipelines from data ingestion to model deployment and monitoring. Implement model observability, monitoring for drift, and continuous model evaluation. Develop REST APIs and integrate ML models with production systems using frameworks like FastAPI. Participate in code reviews, write unit/integration tests, and ensure high code quality. Collaborate with cross-functional teams including Data Engineers, DevOps, and Product Managers. Stay current with the latest developments in AI, GenAI, ML frameworks, and tools. Use DevOps/MLOps tools to automate and manage model lifecycle processes. Required Skills: Programming & Python Ecosystem: Advanced proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Strong understanding of asynchronous programming, FastAPI, and concurrency (Starlette). Deep understanding of multithreading, multiprocessing, and the Python GIL. Ability to write clean, efficient, and testable code. Machine Learning & Deep Learning: Solid grasp of traditional ML concepts: classification, regression, overfitting/underfitting, regularization (L1/L2), multicollinearity. Experience with deep learning: RNNs, attention mechanisms, dropout, early stopping, loss functions (BCE, categorical cross entropy), diffusion models vs GANs. Familiarity with transfer learning and pre-trained model fine-tuning. MLOps: Understanding of ML pipeline design including model training, deployment, and monitoring. Experience in detecting and mitigating data drift and concept drift. Exposure to model observability, monitoring unstructured data drift, and automated drift alerts. Software Engineering & DevOps: Strong skills in REST API development, integration testing, and CI/CD practices. Experience with containerization tools like Docker. Familiarity with cloud-based ML deployment (AWS/Azure) and logging frameworks. Hands-On Problem Solving & Data Engineering: Ability to perform data transformation and aggregation using Python/Pandas. Experience handling dataframes, joins, ranking, filtering, mapping, and custom logic for preprocessing tasks. Nice-to-Have: Experience in GenAI and working with LLMs. Exposure to tools like MLflow, Kubeflow, Airflow, or similar MLOps platforms. Understanding of NLP, embeddings, and transformer-based models. Prior contributions to open-source ML tools or GitHub repositories.

Generative AI Engineer Overview We are seeking a visionary GenAI Engineer to lead the design and development of next-generation AI applications using advanced AI services. The ideal candidate will bring deep expertise in GenAI technologies, including Retrieval-Augmented Generation (RAG), intelligent agents, and model fine-tuning, coupled with hands-on experience using tools like LangChain, Model Context Protocol, and Azures full AI stack. Task and Responsibilities: Implement end-to-end Generative AI solutions on the Azure Cloud Platform, leveraging services such as: Azure OpenAI Service, Azure AI Search, Azure Cognitive Services, Azure AI Foundry, Azure Machine Learning etc. Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence , Azure Databricks etc. Design and deploy RAG pipelines, incorporating structured and unstructured data to enhance LLM-based applications. Develop and orchestrate AI Agents and Autonomous Agents for real-time decision-making, task and automation. Fine-tune and optimize Small Language Models ( SLMs ) for domain-specific applications with a focus on performance, cost, and inference latency. Integrate LLMs/SLMs into applications using frameworks such as LangChain , Model Context Protocol ( MCP ), etc. Collaborate with data scientists, ML engineers, and product teams to align AI capabilities with business goals. Lead technical discussions and create architecture blueprints, best practices, and governance models for GenAI adoption across the enterprise. Monitor and optimize deployed solutions for scalability, latency, security, and compliance. Qualifications: Bachelor's or master's degree in computer science, Data Science, AI/ML, information technology, or a related field. Overall 8+ years’ combined experience in IT, 5+ years of experience in AI/ML solution engineering with at least 2+ years focused on Generative AI. Strong experience with LLMs and SLMs, including integration of open source models, prompt engineering, evaluation, and fine-tuning techniques. Proven track record using LangChain, Semantic Kernel, RAG, AI Agents, and MCP (Model Context Protocol) in production environments. Solid understanding and Hands-on experience with vector databases, embeddings, and Azure AI Search integration for semantic retrieval. Hands-on experience with tools like MLFlow, Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Cognitive Services, Azure AI Foundry, Azure Machine Learning etc. Familiarity with MLOps, CI/CD pipelines, and responsible AI practices. Experience deploying AI models on Azure Kubernetes Services (AKS) or Azure Container Apps. Understanding of security and compliance in AI deployments (e.g., data privacy, bias detection). Proficiency in programming languages like Python (essential). Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills to work effectively in a team environment. A passion for innovation and a desire to push the boundaries of what's possible with Gen AI. Relevant industry certifications, such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc. is a plus.

ServiceNow Now Assist, Open AI Integration with ServiceNow ITSM,ITSM & CSM,workflows, UI policies, business rules, and UI actions,Write and modify scripts in JavaScript (both client and server-side),Open AI Integration

Job Description:- We are seeking an experienced AI Engineer to join our team and play a key role in developing and integrating cutting-edge AI tools into our SaaS products. The ideal candidate has hands-on expertise with platforms like OpenAI, LangChain, or Hugging Face, and a strong background in delivering scalable, production-ready AI solutions. In this role, you will lead AI feature development, collaborate cross-functionally, and mentor junior engineers. Responsibilities:- Design and develop AI-driven features leveraging large language models (LLMs) and embedding techniques. Integrate solutions using tools such as OpenAI, vector databases (e.g.,Pinecone, FAISS), and generative AI frameworks like LangChain or HuggingFace. Build and maintain Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows. Collaborate closely with backend and frontend engineering teams to ensure seamless integration of AI capabilities into the product. Continuously optimize AI models and pipelines for performance, scalability, and accuracy. Requirements: 2-4 years of experience in AI/ML-focused software development Proficiency in Python and hands-on experience with AI frameworks and toolkits such as LangChain, Pinecone, and OpenAI Strong problem-solving abilities and solid understanding of system architecture and design Excellent communication and collaboration skills

Key Responsibilities: Design and implement AI solutions using large language models (LLMs) for tasks such as summarization, question answering, and document understanding. Build and optimize retrieval-augmented generation (RAG) pipelines combining OCR and LLMs for unstructured document processing. Integrate LLMs and OCR tools (e.g., Azure Document Intelligence, Tesseract) into scalable applications. Preprocess scanned and digital documents using OCR to extract structured and semi-structured text for LLM input. Perform prompt engineering and fine-tuning of LLMs to enhance accuracy and task-specific performance. Evaluate and monitor LLM+OCR system outputs for quality, bias, and hallucination risks. Collaborate with cross-functional teams to deliver AI solutions tailored to domain-specific needs. Stay updated on the latest developments in foundation models, Agentic AI and OCR technologies. Required Skills: Hands-on experience with LLM frameworks such as LangChain, Semantic Kernel. Strong understanding of vector search, embedding models, and semantic retrieval (e.g., FAISS, Pinecone, Azure Cognitive Search). Proficiency in Python, with experience integrating APIs, Function Calling, Regular Expression, and handling LLM outputs. Deep expertise in prompt engineering, including few-shot prompting, prompt tuning, prompt chaining, and optimization techniques for task-specific accuracy and cost control. Solid knowledge of RAG architectures and agent design patterns (e.g., tool use, memory, planning). Experience with OCR technologies (e.g., Tesseract, Azure Document Intelligence) for document understanding and information extraction from scanned or image-based content. Familiarity with LLM platforms and tools like Azure OpenAI, LLMOps. Experience deploying LLM-based applications in cloud environments, with attention to performance, reliability, and scalability. Practical understanding of SAFe Agile methodologies, with experience delivering AI/ML solutions in cross-functional Agile teams. Proven ability to work independently without supervision, demonstrating initiative, ownership, and accountability across all phases of solution development.

We are seeking an innovative and forward-thinking AI Strategist to join our team. In this role, you will lead the development and implementation of AI-driven strategies that align with our organization's long-term goals. You will work closely with cross-functional teams to identify opportunities where artificial intelligence can drive business growth, operational efficiency, and competitive advantage. Role & responsibilities Required Skills: Proven experience with Large Language Models (e.g., GPT, BERT, LLaMA) and customizing them for business-specific use cases. Proficient in AI code tools, including GitHub Copilot, Cursor, and more. Expertise in prompt engineering and prompt optimization for effective LLM outputs. Strong understanding of security principles, specifically concerning LLM implementation and internal data protection Preferred candidate profile LLM Model Customization & Implementation Customize and fine-tune Large Language Models (LLMs) to address specific business and functional requirements. Design and implement LLM integrations to optimize business workflows and support various functional areas, ensuring high-quality and relevant outputs. Conduct regular assessments to maintain alignment with organizational goals and security standards, preventing any unintended exposure to external networks.

We are looking for immediate joiners only We are seeking an innovative and forward-thinking AI Strategist with .Net/Java Full stack to join our team. In this role, you will lead the development and implementation of AI-driven strategies that align with our organization's long-term goals. You will work closely with cross-functional teams to identify opportunities where artificial intelligence can drive business growth, operational efficiency, and competitive advantage. Role & responsibilities Required Skills: We are looking for a Full Stack Architect / Associate Architect with strong architectural expertise and deep hands-on experience across Angular, .NET Core, SQL Server, and especially IIS . The ideal candidate must be proficient in application architecture design , performance tuning , and end-to-end ownership of enterprise-grade solutions with significant exposure to hosting and configuration environments. Key Responsibilities Architect, design, and deliver high-performance enterprise applications using Angular, .NET Core, and SQL Server. Define and implement best practices around coding, architecture, security, and performance. Take complete ownership of IIS setup, deployment pipelines , and application hosting architecture , ensuring secure and scalable configuration. Troubleshoot and resolve issues related to Windows Authentication, Application Pools, and service account connectivity. Proven experience with Large Language Models (e.g., GPT, BERT, LLaMA) and customizing them for business-specific use cases. Proficient in AI code tools, including GitHub Copilot, Cursor, and more. Expertise in prompt engineering and prompt optimization for effective LLM outputs. Strong understanding of security principles, specifically concerning LLM implementation and internal data protection Preferred candidate profile LLM Model Customization & Implementation Customize and fine-tune Large Language Models (LLMs) to address specific business and functional requirements. Design and implement LLM integrations to optimize business workflows and support various functional areas, ensuring high-quality and relevant outputs. Conduct regular assessments to maintain alignment with organizational goals and security standards, preventing any unintended exposure to external networks.

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.