825 Llms Jobs - Page 33

At least 3 years focused on AI & ML solutions. AI Engagements Strategic Consulting & Road mapping LLM/RAG Solution Design & Implementation Agentic Systems Hands-on Prototyping Thought Leadership

As a Principal Engineer in the Enterprise Security & Resiliency Office (ESRO) , youll lead a core platform engineering team focused on building secure, scalable, and developer-centric solutions for UnitedHealth Group. You will architect and deliver high-impact tooling such as AI-powered assistants, enterprise search, infrastructure automation, and developer utilities that accelerate cloud adoption and secure-by-default engineering across the enterprise. This role is both strategic and hands-on , combining deep technical leadership with mentoring responsibilities. Youll guide a team of 10+ engineers across various levels, shape engineering culture, and drive alignment across product, UX, infrastructure, and security. In parallel, youll help grow our security engineering influence by supporting developer outreach, internal adoption, and brand presence within the engineering community. Primary Responsibilities: Technical Leadership: Architect scalable, secure services and frameworks supporting AI assistants, search infrastructure, asset tracking, developer tooling, and platform APIs Lead end-to-end solution design and implementation using React, Node.js, GraphQL, and DevOps best practices Contribute to long-term platform strategy and architectural direction, balancing innovation with operational excellence Team Development & Mentorship: Mentor and grow a high-performing team of engineers across multiple levels (Lead, Senior, Mid, Associate) Drive engineering best practices including testing, observability, CI/CD, documentation, and platform standardization Cultivate a solid engineering culture of ownership, collaboration, and quality Execution & Delivery: Lead the delivery of cross-cutting features across AI, developer utilities, search, cloud infrastructure, and security tooling Remove roadblocks, clarify scope, and ensure solutions are aligned with platform standards and business goals Partner with product managers, UX designers, and stakeholders across multiple domains to deliver impactful outcomes Innovation & Strategy: Drive the adoption of generative AI and cloud-native development through responsible, secure platform enhancements Identify opportunities for intelligent automation, developer enablement, and data-driven insights Stay current with emerging technologies and champion their practical application within the engineering organization Required Qualifications: Masters degree in Computer Science, Engineering, or a related field, or equivalent experience Undergraduate degree in Computer Science, Engineering, or a related field, or equivalent experience 10+ years of experience delivering scalable software systems, with deep experience in full-stack development 2+ years of experience in a technical leadership or people mentorship role Hands-on experience integrating LLMs or generative AI into enterprise applications or developer workflows Experience deploying and operating applications in Kubernetes environments (EKS, AKS) Experience working on internal developer portals, scaffolding tools, or CI/CD frameworks Familiarity with enterprise search technologies (Meilisearch, Elasticsearch) Familiarity with CI/CD automation, GitHub Actions, and DevOps pipelines Expertise in JavaScript/TypeScript, React, Node.js, and API development using REST and GraphQL Background in platform engineering or developer experience teams Solid architectural background in designing high-availability systems, frameworks, and distributed platforms Exposure to observability tooling, error monitoring systems, and developer productivity metrics Proficiency with infrastructure-as-code tools like Terraform and cloud platforms such as AWS or Azure Track record of driving inner-source initiatives or internal engineering community engagement Proven solid grasp of secure coding practices and cloud security principles Proven excellent communication skills and ability to lead across global, cross-functional teams Proven to be comfortable navigating ambiguity and driving clarity in fast-paced environments Proven ability to simplify complex systems and reduce engineering inefficiencies at scale What Sets This Role Apart: Strategic Ownership: Youll lead platform initiatives that directly impact how engineers across UHG build, secure, and ship software Engineering Culture: Mentor future leaders, uphold technical excellence, and foster a culture of innovation and collaboration Visibility & Impact: Work closely with senior engineering leaders to influence the vision, architecture, and execution of platform strategy Innovation Focus: Champion adoption of modern cloud patterns, generative AI, and developer-first tooling that reduces friction and boosts productivity What Youll Gain: The opportunity to shape platform engineering best practices at scale across a Fortune 5 enterprise The opportunity to lead high-impact initiatives in AI, developer enablement, and platform extensibility A collaborative, engineering-led environment that values autonomy, innovation, and continuous growth High visibility with platform leadership and the ability to influence how engineering teams build software across UHG Working Model & Team Culture: Hybrid collaboration model with flexible overlap hours (7 AM - 11 AM Central Time) to engage with U.S.-based teams Agile, full-stack team focused on building reusable, scalable systems that serve thousands of engineers Culture of mentorship, knowledge sharing, and continuous improvement Emphasis on clean architecture, pragmatic solutions, and shared responsibility for platform success.

Job role - Prompt engineer with Insurance Experience - 2 to 8 Years Location - Bangalore 2+ years relevant experience with prompt engineering preferably with OpenAI Proven expertise in prompt engineering strategies and their application to real-world problems, experience in Insurance usecases will be preferred Hands on experience in designing, developing and refining prompts, optimizing prompt performance, and improving the AI prompt generation process for various applications Hands-on experience in RAG-based solutions for data retrieval and conversational AI & chatbot development Experience with Voice AI platform e.g. ElevanLabs or similar with Voice Modulation experience to create conversational Voice Bots Experience with vector database PGVector and structured data sources Good exposure to Insurance Domain will be an added advantage

Job Description: We are hiring an AI Senior Engineer to design, develop, and deploy advanced AI/ML models including Large Language Models (LLMs), Generative AI, and Transformer architectures. The role requires strong expertise in deep learning, MLOps, and distributed computing with a focus on scalable AI solutions for real-world applications. Responsibilities: Build and optimize LLMs, GANs, and transformer-based models (GPT, BERT, etc.) Implement MLOps best practices CI/CD, model retraining, monitoring Develop LangChain, RAG pipelines, vector DB integrations (FAISS, Pinecone, Chroma) Optimize AI pipelines using GPUs/TPUs and distributed systems (Spark, Ray) Ensure explainability, transparency, and compliance in AI solutions Mentor junior engineers and contribute to technical strategy Key Skills Required: AI/ML Engineer / Senior Machine Learning Engineer / Deep Learning Engineer Python, TensorFlow, PyTorch, Hugging Face, JAX MLOps (Docker, Kubernetes, MLflow) , CI/CD pipelines LangChain, Agentic AI, RAG architecture Vector databases (FAISS, Pinecone, Chroma DB) Distributed computing (Spark, Ray) Experience with cloud AI deployments (AWS, Azure, GCP) Experience: 7+ years in AI/ML development Strong hands-on in deep learning, LLMs & Generative AI Regulated industry (healthcare/pharma) experience preferred Location: Bangalore | Hybrid Work Model

Role & responsibilities Design and deliver training programs on Generative AI fundamentals and advanced topics. Conduct hands-on workshops on building AI-powered applications using LLM APIs and frameworks. Teach prompt engineering techniques for text generation, summarization, and contextual reasoning. Demonstrate fine-tuning and model customization for domain-specific tasks. Guide participants in building RAG-based solutions using vector databases and document retrieval systems. Cover deployment strategies for GenAI models on cloud platforms and edge devices. Provide training on evaluation metrics for AI models accuracy, coherence, toxicity detection. Incorporate real-world case studies from finance, healthcare, retail, and customer service domains. Create training materials, labs, and coding exercises for self-paced and instructor-led sessions. Evaluate participant progress through projects, assignments, and quizzes. Stay up to date with latest GenAI research, tools, and best practices and integrate them into training content. Preferred candidate profile 5+ years of experience in AI/ML development , with at least 2 years in Generative AI . Strong coding skills in Python with experience in transformer-based models . Proven track record in LLM integration and application development . Experience with LangChain , Hugging Face , and vector databases . Previous experience in technical training, mentoring, or corporate workshops . Excellent communication and presentation skills. Passion for emerging AI technologies and ability to simplify complex topics for varied audiences.

Job Title: Agentic AI Engineer Location: Remote Employment Type: Long-Term Contract Experience: 3+ Years Notice Period: Immediate or serving notice period Who Were Looking For We're looking for a Senior AI Engineer to lead the design, development, and deployment of next-generation AI systems, with a focus on large language models (LLMs), real-time conversational agents, retrieval-augmented generation (RAG), multimodal intelligence, and enterprise-scale orchestration. This role combines deep expertise in AI and machine learning with systems architecture and hands-on implementation, making it ideal for someone who is excited to turn breakthrough AI research into real-world, production-ready solutions. You will play a key role in building agentic AI capabilities intelligent, autonomous agents that can reason, plan, and act on behalf of users and teams, seamlessly integrated into business workflows. From advanced document understanding with computer vision to intelligent scheduling and multilingual chatbots, you will be creating systems that enhance productivity, improve decision-making, and enable operations to scale. This is a high-impact and strategic role with significant influence over our AI roadmap. You will work closely with product, engineering, and operations teams to shape our technical direction, while collaborating remotely with colleagues across the United States. Key Responsibilities Architect and enhance our agentic AI systems for enterprise-scale deployments using multi-agent workflows and advanced coordination patterns Design and develop AI-driven solutions including chatbots, voicebots, and intelligent routing engines. Contribute to AI architecture decisions and align solutions with enterprise standards and cloud infrastructure. Deliver prototypes, proofs of concept (PoCs), and production-grade implementations that scale. Build and improve AI models through testing, tuning, and feedback loops. To keep yourself updated with the latest developments in AI and the fast-paced environment of generative AI You should be eager to take on new challenges when exploring these new technologies and to think outside of the box Performing other responsibilities and projects as directed by the Chief Technology Officer The Skills You Need 3+ years of hands-on experience with agentic AI and/or LLM-based agent frameworks, with a proven track record of deploying real-world use cases such as sales automation, operations agents, or analytics bots. Advanced proficiency in Python, with deep knowledge of AI/ML libraries including PyTorch, Transformers, and LangChain Experience with dialog and conversational AI platforms (e.g., Google Dialogflow CX/ conversation agents) and other agent tooling frameworks. Strong experience with LLMs, including fine-tuning using methods such as QLoRA and RLHF, and building retrieval-augmented generation (RAG) pipelines with tools like Pinecone and ChromaDB. Knowledge of computer vision techniques including OCR, Vision Transformers, and multimodal model development (images, PDFs, audio). Proven experience designing and building middleware platforms, REST APIs, and distributed systems at scale. Strong understanding of cloud deployment (GCP preferred), containerized services, and scalable infrastructure. Excellent communication skills with the ability to translate complex technical concepts into actionable strategies. Even better if you have Bachelors or master’s degree in computer science, Computer Engineering, Machine Learning, or a related field, with 5+ years of overall industry experience. Strong computer science fundamentals; able to design and implement efficient algorithms with ease Experience with Django web framework CRM experience, such as Zoho or Salesforce Experience with cloud programming environments such as GCP, AWS, or Azure

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), or prompt tuning. Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Haystack, or OpenAI Assistants API. Use embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock, Azure OpenAI, Google Vertex AI, Anthropic Claude, or OpenAI API. Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails, content moderation, and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields. 36+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems. Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex. Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters. Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services. Preferred Skills: Experience with open-source LLMs: Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows, or multi-agent LLM orchestration. Experience with multi-turn conversation modeling, dialogue state tracking. Understanding of model quantization, distillation, or fine-tuning in low-resource environments. Familiarity with ethical AI practices, hallucination mitigation, and user alignment. Tools & Technologies: Category Tools & Platforms LLM Frameworks Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring Prometheus, MLflow, Langfuse, Weights & Biases.

About us Exotel is one of Asias largest cloud telephony companies. Our aim is to change the way enterprises look at customer communication. We build the best-in-class communication products that power the companies of today and tomorrow. Our technology enables customer communication for our clients such as Uber, Ola, Go-Jek, ICICI, IDFC, Redbus, Flipkart, Quikr, Practo, Lazada, Redmart, etc. to name a few. We are a 9-year-old company with humble beginnings. We started as a 3-member team. Currently, we are a 120-member team catering to over 3000 customers across the globe. Our technology has connected over 400 million people across the world and powered over 10 billion conversations. Read our growth story here. Tech @ Exotel Exotel Engineering solves some really cool infrastructure-level problems with the goal of ensuring no one misses a call or an SMS. Our focus is on building a very fault-tolerant, loosely coupled, scalable and real-time distributed system We are generally agnostic of language, technology or tools. Currently, our tech stack is built on Golang, Node.js, Ruby, Java and PHP. We use Aerospike, and MySQL as data stores, ElasticSearch for search and Beanstalkd for queuing We emphasize a lot on clean abstractions of code, loosely coupled services and good coding practices We are very strong believers in "you built it, you own it!". And running a distributed system is very different from just building one! We are crazy about high availability What are we looking for? We are looking for candidates with strong programming skills, and a strong understanding of computer/distributed systems. We want people who love designing and building infrastructure components and large complex services. Being a Software Engineer at Exotel takes a bit more than the following What are we looking for? Champion (lead) projects for Implementation, testing of GenAI solutions for Exotels customers Work with support team wherever needed Liaise with pre-sales teams and customers for understanding of requirements and timelines Liaise with product team to understand the product to ensure efficient implementation as well as to suggest product improvements Team mentoring Must Haves Proven track record of project delivery for 1+ years Good coding (Preferably Python) skills and DSA Good problem solving and communication skills. Good Knowledge of Gen-AI technologies (LLM prompt engineering) Familiarity with React, HTML, CSS, JS or similar frameworks Familiarity with HTTP, REST, microservices, concurrency and Multithreading Willingness to work in a dynamic and fast paced environment. 4-6 years of experience with a Bachelor / Master's Degree in Computer Science or equivalent. Ownership and commitment towards work Good-to-haves Experience with cloud deployments

POSITION: AI Senior Engineer /Lead Position Overview: This position at GrowthAXL will help in making the group an AI First, AI Native leader by supporting AI strategy and implementation across products, services, solutions and internal use. This role requires a hands-on but visionary engineer who can harness the power of AI, machine learning, and advanced analytics to drive innovation, efficiency, and growth. The ideal candidate will have a deep understanding of AI technologies, a proven track record of successful AI projects, and the ability to lead and inspire a team of AI professionals. Key Responsibilities: Help drive AI First and Native approach at Growth AXL as a major differentiator and moat in products, services and in group operations Can drive the lifecycle of AI projects from problem definition to deployment and continuous monitoring and improvement Provide innovation pipeline for products through ideating using customer data or organic data or synthetic data by developing core models, frameworks, algorithms and new inventions Develop PoCs/ PoVs for customers using Agentic or Custom Frameworks and help proving the product or solutions value Develop IP and Patentable differentiators in Knowledge Graphs, Graph Design, Knowledge Bases, Reasoning, Planning and in the economics of using LLMs Support services and delivery through AI in Engineering, Program Management, Project Execution and Shared Services Drive AI innovation by staying updated with the latest advancements in AI, ML, and related technologies Foster a culture of continuous learning and improvement within the AI team. Represent GrowthAXL in industry forums, conferences, and client meetings. Must Have Skills Well versed with the latest in AI including Gen AI, Agentic AI frameworks, LLMs, LVMs, Edge AI. Experience in delivering production grade solutions in verticals such as Healthcare, Logistics, Supply Chain or Retail/ Commerce/ Online Commerce Proficient in Computer Vision, Language Models, Speech and Audio Processing Hands on coding in Python + Web Services + Frameworks Experience on Cloud Platforms GCP or AWS or Azure and ability to run data and AI workloads as serverless/ managed services Experience on Agentic Frameworks such as Gemini ADK, Langgraph, Langchain, CREW, Autogen etc. Experience in data engineering and pipelining through Airflow, AWS Glue, Azure Synapse or Databricks or Snowflake Strong understanding of heterogenous compute environment such as CUDA, Open CL, Qualcomm AIC etc. and also Tensorflow Lite on Android etc.

5+ years of experience in product development, with at least 2 years focused on AI-based SaaS products. Demonstrated experience in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features. Candidate should have strong experience in Python based framework, langchain, langgraph (LLM), RAG models, Vector databases, Machine learning, semantic search. Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms. Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud). Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs. Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments. Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization. Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success. Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance.

About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore . Website: https://www.straive.com/ Key Responsibilities: Data Analysis & Insights Perform in-depth data analysis using Excel, SQL, or Python to uncover trends, identify opportunities, and support strategic decision-making. Data Storytelling & Presentation Develop compelling, client-facing decks that transform raw data into clear, persuasive narratives, enabling informed business decisions. Stakeholder Management Act as a bridge between business teams and technical delivery teams, ensuring clear communication, alignment, and smooth execution. Project Planning & Execution – Define requirements, estimate timelines, manage priorities, and ensure timely delivery while balancing ad-hoc requests with ongoing sprints. Agile Delivery – Coordinate global teams using Agile methodologies, manage backlogs, and resolve escalations efficiently. Required Skills & Experience: Proven experience in data analytics with proficiency in Excel, SQL, or Python. Strong expertise in data storytelling using PowerPoint, Excel, Power BI (or similar tools). Basic working knowledge of LLMs and should have used Generative AI applications in daily work. Excellent communication, problem-solving, and client engagement skills. Preferred Qualifications: Master’s degree in computer science, Statistics, Business Analytics, or related field. 7+ years in data consulting, analytics, or AI-related project delivery. Familiarity with JIRA or other project management tools. Proficiency or certification in Power BI / Tableau / QlikView is an advantage. Accelerate your Career Growth: Work on cutting-edge AI projects , leveraging the latest tools, frameworks, and techniques shaping the industry. Accelerate your expertise through hands-on experience, cross-functional collaboration, and exposure to diverse, real-world business challenges.

Role & responsibilities Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks, with a focus on text generation, summarization, question answering, classification, and similar tasks. Expertise in transformer models like GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar models. Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation, summarization, question answering, classification, and translation. Familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs. Experience in instruction-based prompting Use of zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. Experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. Proficiency in Python and experience with NLP libraries (e.g., Hugging Face, SpaCy, NLTK). Experience with transformer-based models (e.g., GPT, BERT, T5) for text generation tasks. Experience in training, fine-tuning, and deploying machine learning models in an NLP context. Understanding of model evaluation metrics (e.g., BLEU, ROUGE)

Job Title: Data Engineer GenAI Applications Company: Amzur Technologies Location: Hyderabad / Visakhapatnam / Remote (India) Experience: 48 Years Notice Period: Immediate to 15 Days (Preferred) Employment Type: Full-Time Position Overview We are looking for a skilled and passionate Data Engineer to join our GenAI Applications team. This role offers the opportunity to work at the intersection of traditional data engineering and cutting-edge AI/ML systems, helping us build scalable, cloud-native data infrastructure to support innovative Generative AI solutions. What We’re Looking For – Required Skills & Experience 4–8 years of experience in data engineering or related fields. Strong programming skills in Python and SQL , with experience in large-scale data processing. Proficient with cloud platforms (AWS, Azure, GCP) and native data services. Experience with open-source tools such as Apache NiFi, MLflow, or similar platforms. Hands-on experience with Apache Spark , Kafka , and Airflow . Skilled in working with both SQL and NoSQL databases , including performance tuning. Familiarity with modern data warehouses : Snowflake, Redshift, or BigQuery. Proven experience building scalable pipelines for batch and real-time processing. Experience implementing CI/CD pipelines and performance optimization in data workflows. Key Responsibilities Data Pipeline Development Design and optimize robust, scalable data pipelines for AI/ML model training and inference Enable batch and real-time data processing using big data technologies Collaborate with GenAI engineers to understand and meet data requirements Cloud Infrastructure & Tools Build and manage cloud-native data infrastructure using AWS, Azure, or Google Cloud Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation Ensure data reliability through monitoring and alerting system Preferred Skills Understanding of machine learning workflows and MLOps practices Familiarity with Generative AI concepts such as LLMs, RAG systems, and vector databases Experience implementing data quality frameworks and performance optimization Knowledge of model deployment pipelines and monitoring best practices

Job description Profile: Software Development Engineer (SDE) | Location: Remote / Hybrid | Experience: 1-2 years | Budget: 4LPA to 5LPA | Type: Full-time | Start Date: Immediate joiners preferred Note: If you want your CV gets shortlisted, Copy, Paste and fill out the below form for a better response. Job Apply Link: t.ly/FPqSB What Youll Do Contribute to development of scalable product features using modern JavaScript frameworks. Work across both backend and frontend (MERN stack) in a fast-paced, product-first environment. Collaborate closely with the core tech team on building modular, reusable, and testable code. Experiment with Generative AI APIs and libraries to build automation and AI-led features. Participate in agile processes like stand-ups, sprint planning, and retrospectives. What Were Looking For 12 years of hands-on experience in full-stack or frontend/backend JavaScript development. Working knowledge of the MERN stack. Exposure to or interest in working with Generative AI technologies (e.g., OpenAI, LLMs). Strong coding, debugging, and logical thinking skills. Ability to work independently and take full ownership of assigned tasks. Collaborative mindset and good communication skills. Why Join Us Work on a next-gen AI product with real users across the globe. Collaborate in a startup-style team that values execution, autonomy, and speed. Opportunity to work on meaningful, high-impact features that reach thousands of users. Freedom to explore and build on emerging technologies, including AI and automation. Interested candidates can apply or share their updated CVs at essveeconsultant4@gmail.com Current Openings ( Naukri ) : https://www.naukri.com/essvee-consultant-jobs-careers-123488705 Current Openings ( LinkedIn ) : https://www.linkedin.com/company/essvee-consultants/posts/ Thanks HR

Role Overview: As an Engineering Manager in the AI team, you will lead and mentor a team of 10+ software engineers working on a wide range of AI/ML/GenAI-driven initiatives. You will be responsible for the end-to-end delivery of AI solutions, guiding your team through the full software and machine learning lifecycle, from ideation and design to deployment and continuous improvement. In this hands-on leadership role, you will collaborate closely with engineering leaders, data scientists, product managers, and other stakeholders to deliver high-quality AI applications that power our products and services. Responsibilities: Leadership and Mentorship: Lead, mentor, and develop a team of 10+ AI/ML software engineers, fostering a culture of growth, collaboration, and technical excellence. Ensure high performance by providing regular feedback, coaching, and career development opportunities. AI/GenAI Architecture and Delivery: Oversee the design and delivery of AI and generative AI systems, ensuring that all solutions are scalable, robust, and high-quality. Guide your team to implement innovative AI models, tools, and infrastructure that drive business outcomes. Cross-Functional Collaboration: Partner with other engineering leaders, data scientists, product managers, and directors to align on strategic goals and deliverables. Collaborate closely with cross-functional teams to break down complex engineering tasks and drive the execution of the AI roadmap. Agile Leadership: Lead your team in an agile environment, participating in sprint planning, daily stand-ups, code reviews, and retrospectives. Help the team manage competing priorities while maintaining focus on delivering high-quality AI solutions. Technical Excellence: Promote best practices in software development, code quality, testing, and deployment. Drive the adoption of modern engineering practices like CI/CD, automated testing, and cloud-based AI/ML solutions to ensure the delivery of secure, scalable AI applications. Innovation: Stay up to date with the latest advancements in Generative AI and machine learning. Foster a culture of continuous learning, encouraging engineers to grow their technical skills and experiment with emerging technologies to contribute to the company's thought leadership in AI. Stakeholder Communication: Act as a liaison between the AI team and other stakeholders, effectively communicating progress, risks, and technical insights to non-technical leadership and product teams. Qualifications: Experience: 7-10 years of experience in software engineering, with at least 2-4 years in a leadership or management role, overseeing AI or machine learning teams. Proven track record of leading and delivering AI/ML and Generative AI initiatives at scale in fast-paced, dynamic environments. Technical Skills: Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Strong experience with AI, machine learning, and deep learning technologies as well as solid understanding of the software development lifecycle, object-oriented programming, concurrency, design patterns, RESTful services, and microservice architecture. AI Tools and Cloud Technologies: Experience with cloud platforms (AWS, Google Cloud, Azure), with a focus on AI/ML deployment (e.g., VertexAI, GKE, BigQuery, Kubeflow, TensorFlow Serving). Familiarity with MLOps practices and tools for model deployment and monitoring (e.g., Terraform, GitHub Actions, Concourse). Leadership and Collaboration: Strong people management and leadership skills, with experience leading cross-functional teams. Proven ability to mentor engineers, manage competing priorities, and align team efforts with business objectives. Agile Experience: Strong understanding of agile methodologies, with experience leading teams in an agile environment. Knowledge of best practices for managing sprints, tasks, and project timelines. Communication: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical stakeholders and build strong working relationships across the organization. Preferred Qualifications: Experience working with large language models (LLMs) or fine-tuning open-source models like GPT. Familiarity with modern AI development tools, such as Jupyter notebooks, Kubernetes, Docker, and CI/CD pipelines. Experience in high-compliance or enterprise-grade environments with a focus on AI ethics, privacy, and security. Education: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. Ph.D. is a plus.

Architect and develop Agentic AI systems using open-source LLMs and frameworks Build lightweight edge agents and integrate them with central coordination agents Required Candidate profile • Collaborate with the IoT and ML teams to embed AI capabilities into operational environments • Optimise system performance across constrained and cloud environments

Notice Period : Candidates with up to 1-month notice preferred Findability Sciences is looking for a hands-on AI expert with experience in developing and implementing comprehensive predictive and generative AI solutions. This is a core technical role rather than a support-based one. You will lead innovation and delivery across multiple industries. What we are looking for: 3+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering Experience in predictive modeling, time series forecasting, and generative AI use cases Experience with ML Ops workflows model deployment, monitoring, versioning, and pipeline automation Key Responsibilities: Design and deploy predictive & GenAI solutions for real-world business use cases Build and optimize LLM-based workflows for summarization, retrieval, and Q&A Collaborate with cross-functional teams to define use cases and develop proof-of-concepts Translate business problems into ML/GenAI solutions and deliver outcomes Validate, compare, and optimize models for performance and scalability Apply basic ML Ops practices to ensure smooth deployment and monitoring of models Contribute to reusable pipelines, prompt tuning strategies, and production integration Present actionable insights and models to stakeholders clearly and effectively

Dear Candidates, Greetings!! seeking a Senior AI Architect with deep expertise in architecting and delivering end-to-end AI solutions on the cloud, including hands-on experience in Generative AI and Large Language Models (LLMs). Required Qualifications: 10+ years of experience in designing and delivering enterprise-grade AI/ML solutions. 2+ years of active experience in Generative AI, with strong exposure to LLMs, agent architectures, and vector-based search. Proven track record in delivering AI solutions on Azure, especially using Azure OpenAI, OpenAI GPT models, and other cloud-native ML tools. Deep experience with open-source LLMs, Hugging Face, and integration of custom/tuned models. Strong programming skills in Python, familiarity with ML frameworks like PyTorch, TensorFlow, and tools like LangChain, LlamaIndex. Practical experience implementing AI Governance, ML Ops/LLM Ops, and Responsible AI standards in real-world deployments. Proven ability to engage clients on technical strategy, architecture design, and solution trade-offs across performance, cost, and security. Experience creating AI/Gen AI thought leadership (whitepapers, blogs, reusable assets).

GenAI Engineer Build and deploy conversational agents using LLMs and multi-agent systems. Design RAG pipelines and integrate with enterprise systems. Experience: ~3 years overall, 2+ years in AI/ML engineering. Must have : Experience with LangGraph, Agno, AutoGen or CrewAI.

Job Title: Manager Technology (Full Stack | Product Engineering Lead) Location: Gurgaon Experience: 8+ years Function: Technology / Product Development Type: Full-time About the Role We are looking for a hands-on Technology Manager to lead and scale our core product engineering efforts. This role is ideal for a technically strong individual who thrives in a fast-paced environment, can take architectural ownership, drive technical excellence, and manage a high-performing development team across backend, frontend, mobile, and DevOps. You will work closely with product, design, and data science teams to build scalable products and systems that power next-gen applications using cutting-edge technologies like Generative AI, Voice AI, YOLO, and NLP. Key Responsibilities Lead end-to-end product development in collaboration with cross-functional teams. Architect, build, and scale backend services, APIs, data pipelines, and frontend applications. Provide technical guidance and mentorship to a team of developers (frontend, backend, mobile, DevOps). Translate product vision into technical solutions and ensure timely delivery with high quality. Lead the data science team to integrate AI/ML components into the product. Drive adoption of DevOps best practices including CI/CD pipelines, observability, and infrastructure automation. Set code quality, documentation, and security standards across the engineering function. Own team performance, hiring, mentoring, and growth planning. Tech Stack Backend: Python (FastAPI, Flask, Django), Go (Gin), REST/GraphQL APIs, PostgreSQL, Redis, Git Frontend: React.js, CoreJS Mobile: Native Android (Kotlin, Java), iOS (Swift) AI/Data Science Integration: NLP, YOLO, Voice AI, Generative AI, LLMs, ML, Deep Learning DevOps & Infrastructure: Docker, Kubernetes, AWS, CI/CD pipelines Monitoring & Observability Tools (e.g., Prometheus, Grafana, ELK, etc.) What We're Looking For 8+ years of experience in software engineering, with at least 2 years in a leadership or managerial role . Proven experience as a full-stack engineer with strong backend expertise and system design skills. Experience in building and scaling complex applications across cloud-native environments. Strong understanding of software development lifecycle, agile methodologies, and product mindset. Exposure to AI/ML integrations is a strong plus. Excellent communication, problem-solving, and decision-making skills. Strong people management, mentoring, and conflict-resolution abilities. What You’ll Get Ownership of the entire product engineering life cycle. Opportunity to work at the intersection of deep tech and real-world business use cases . Freedom to make architecture and technology choices. Collaborative and fast-paced work environment with talented teammates.

SEO Analyst / Manager The SEO Analyst/ Manager is responsible for developing, implementing, and managing comprehensive search engine optimization (SEO) and AI search platform strategies to drive organic traffic, improve search engine rankings, and generate qualified leads for our core banking solutions. This role will approach SEO with a data-driven mindset, continually analyzing performance and adapting strategies to align with evolving search algorithms, AI search platforms, and business objectives. The SEO Manager collaborates closely with content, development, product, and marketing teams to ensure a fully integrated and high-impact organic search presence. Responsibilities Develop and execute a robust SEO strategy, encompassing on-page, off-page, and technical SEO, to achieve ambitious organic growth targets. Conduct in-depth keyword research to identify high-potential opportunities, inform content strategy, and optimize existing web assets for both traditional search engines and AI search platforms. Perform regular technical SEO audits to identify and resolve issues related to crawlability, indexability, site speed, mobile-friendliness, and site architecture. Collaborate with the content team to optimize existing content and guide the creation of new, SEO-friendly content that resonates with our target audience and addresses their pain points, ensuring it is optimized for discoverability by large language models (LLMs) and AI summarizers. Develop and implement effective link-building strategies to enhance domain authority and organic search visibility. Monitor and analyze SEO performance using various tools, providing actionable insights and recommendations to stakeholders. Stay continuously updated with the latest search engine algorithm changes, advancements in AI search technology, industry trends, and SEO best practices, adapting strategies proactively. Work closely with web development and IT teams to ensure SEO best practices are integrated into website design, development, and maintenance. Partner with marketing and sales teams to align SEO efforts with lead generation goals, ensuring organic traffic contributes effectively to the sales funnel. Manage and optimize SEO tools and platforms, ensuring accurate data collection and reporting. Oversee the implementation of relevant schema markup (e.g., Product, Organization, FAQ schema) to enhance rich snippet visibility in SERPs and improve content understanding for AI search. Requirements 5 - 7 years of proven experience in managing SEO strategies. Good to have exposure within the B2B enterprise software, SaaS, or IT consulting industry. Strong understanding of search engine algorithms, ranking factors, technical SEO principles, and how content is processed and presented by AI search platforms. Proficiency with leading SEO tools such as SEMrush, Ahrefs, Moz, Screaming Frog, Google Analytics, Google Search Console, Google Tag Manager, and familiarity with tools or strategies for AI content optimization. Demonstrated ability to develop and execute comprehensive SEO plans that drive measurable organic traffic and lead generation. Experience with content optimization, keyword mapping, and on-page SEO best practices, including optimization for LLM-based search interfaces. Analytical mindset with the ability to interpret complex data, identify trends, and provide actionable recommendations. Excellent communication skills, capable of articulating complex SEO concepts to both technical and non-technical stakeholders. Strong project management skills, with the ability to prioritize and manage multiple SEO initiatives simultaneously. Proven ability to work collaboratively in a cross-functional environment with development, content, product, and sales teams. Proactive, self-starter with a high degree of initiative and critical thinking skills. Performance Indicators Organic search traffic growth (sessions, users, engagement). Improvement in keyword rankings for target keywords. Percentage increase in organic MQLs (Marketing Qualified Leads). Organic conversion rate optimization. Website health score and technical SEO audit improvements. Growth in referring domains and quality backlinks. Visibility and featured snippet capture in AI search platforms (e.g., ChatGPT, Gemini, Perplexity).

As our AI Developer, you wont just write codeyoull partner with AI tools to conceptualize, prototype, and build full-stack features in record time. You'll convert user needs and contract workflows into functioning, AI-driven softwareend to end. This role bridges software engineering, product execution, and AI-engineeringthere is no separation between front-end, back-end, and model integration: you do it all. Key Responsibilities Use tools like Windsurf, Cursor, GitHub Copilot, etc., to accelerate development of full-stack features. Design, prototype, test, and deploy CLM modules: clause extraction, contract review UI, workflow automation. Integrate LLMs, vector embeddings, rule engines, and APIs for tasks like clause summarization, risk detection, redlining. Collaborate closely with product, legal/contract experts, and UX to translate business needs into AI-first applications. Optimize for scalability, security, and reliability in production environments. Continuously evaluate and adopt emerging AI tools and best practices, including prompt engineering, new assistive coding workflows, and MLOps pipelines (X-Team). Ensure ethical and privacy-compliant AIbias detection, data protection, and auditability are built-in (Wikipedia)

Experience 10-15 years Location: Gurgaon/Noida Education: BE/B. Tech./Master of Computer Application Work Experience: Overall 10+ years of quality engineering experience with DWH/ETL for enterprise grade applications Hands on experience with functional, non-functional and automation of products Hands on experience with leverage LLMs/GenAI for improving efficiency & effectiveness of overall delivery process Role & Responsibilities: Leading end-to-end QE for product suite Authoring QE test strategy for a release and executing it for a release Driving quality releases by closely working with development, PMs, DevOps, support and business teams Achieving automation coverage for product suite with good line coverage Manage risks and resolves issues that affect release scope, schedule and quality Work with product teams to understand impacts of branches and code merges, etc. Lead and co-ordinate the release activities including the execution of overall Ability to lead team of SDETs and help them in addressing their issues Mentoring and coaching members in the team Technical Skills: Experience in ETL / BI Testing, using any ETL and Reporting Tool with Oracle / SQL Server / as Database Exposure to Data Warehousing and Dimensional Modelling Concepts Hands-on with coding preferably Python Extensive experience in writing and troubleshooting SQL Queries Ability to achieve good functional coverage of product suite Hands on experience with automation tools (Selenium, TestNg, etc.) Experience with CI/CD tools e.g., Jenkins Experience with tools like JIRA, Confluence, SharePoint, TestRails, Zephyr etc. Experience with performance, volume and stress testing Solid understanding of cloud services platforms e.g., AWS, GCP, Azure etc. Well versed with DBs and SQLs Hand-on experience with GenAI/LLMs/RAGs/Agents Soft Skills: Excellent communication skills. Ability to convey hard/sensitive messages without any apprehensions as well as avoid creating frictions. Ability to navigate through organization independently. About AXTRIA (www.axtria.com) Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Preferred Skills (Bonus Points): Familiarity with multi-agent orchestration frameworks . Experience in human-in-the-loop AI , knowledge extraction , or clinical/pharma R&D . Knowledge of Responsible AI principles , red teaming , or AI risk assessment . Strong backend development experience with emphasis on code quality , logging , and automated testing . Exposure to semantic search , vector databases , or embedding optimization techniques . Why Join Us? Work at the cutting edge of GenAI, multi-agent systems, and enterprise automation . Build impactful AI solutions in domains such as healthcare , life sciences , R&D , and finance . Collaborate with world-class engineers, scientists, and innovators in a high-performance team. Opportunity to define and shape the next-gen AI platforms and infrastructure. About the Role: We are hiring an experienced AI/ML Engineer with strong expertise in Generative AI , LLMOps , and agentic AI systems . This role blends the cutting edge of multi-agent orchestration , LLM pipelines , and MLOps best practices . You will be responsible for designing and deploying autonomous agents powered by LLMs, optimizing GenAI pipelines, and ensuring responsible, secure, and scalable AI operations. Youll work across diverse domains including annotation automation, knowledge graph generation, drug discovery, clinical R&D, and enterprise data orchestration . Key Responsibilities: Design & Develop GenAI Agents: Build intelligent agents using frameworks like LangChain , AutoGen , LangGraph , or Semantic Kernel for tasks such as summarization, labeling, document classification, and data annotation. Orchestrate Multi-Agent Systems: Implement memory/state management, decision-making strategies, and inter-agent communication using LLMs and reinforcement learning. LLMOps & Pipeline Development: Develop end-to-end LLMOps pipelines for fine-tuning, deployment, monitoring, and evaluation of LLMs using MLflow , Azure , GCP , or AWS . Responsible AI & Governance: Enforce compliance with governance frameworks (GDPR, AI Act) and embed explainability, fairness, and transparency into AI systems. Security & Infrastructure: Integrate secure deployment practices, access controls, model sandboxing, and cloud-native CI/CD systems for scalable GenAI products. RAG & Vector Search: Build Retrieval-Augmented Generation (RAG) pipelines using FAISS , Pinecone , or similar tools, and optimize LLM context windows and embeddings. Model Lifecycle & Observability: Automate training, fine-tuning (PEFT, RLHF), rollback, and real-time monitoring for GenAI agents and models. Collaboration & Impact: Work closely with MLOps, DevSecOps, Data Scientists , and product teams to drive real-world GenAI applications in healthcare, pharma, finance, and enterprise data systems. Required Qualifications: Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or related fields. 36 years of experience in AI/ML Engineering with at least 12 years in GenAI/LLM-based systems . Strong hands-on experience with Python , PyTorch/TensorFlow , and LLM frameworks like LangChain , LlamaIndex , Hugging Face , or AutoGen . Proficiency in cloud platforms: Azure , GCP , or AWS and containerization tools like Docker . Sound understanding of prompt engineering , NLP , Reinforcement Learning , and model evaluation . Experience building or integrating agentic frameworks , LLM pipelines , and AI observability systems . Apply Now if You Have: A passion for building intelligent, autonomous AI systems Proven track record of deploying LLM-based applications at scale A drive to create real-world impact with GenAI

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning