696 Langchain Jobs - Page 19

We are hiring an AI Engineer with 35 years of experience for a 6-month full-time remote role. The ideal candidate should have strong expertise in deploying machine learning models in real-world environments, with hands-on experience in Automated Valuation Models (AVM), LangChain, and LLM-powered applications. The role requires proficiency with Python-based data science tools such as Pandas, NumPy, Scikit-learn, XGBoost, and LightGBM. Candidates must be skilled in feature engineering, data intelligence extraction, and handling structured, semi-structured, and unstructured data. Experience integrating models into APIs and production environments is essential. Immediate joiners only.

Hi, Wishes from GSN! Pleasure connecting with you. About the job: We are hiring SCRUM MASTERs for a leading bootstrapped product company, a valued client of GSN HR. Job Title: Scrum Master Experience: 8+ yrs Work Loc : Bangalore Work Mode : WFO Work Timing : General CTC Range : Rs 25 LPA to Rs 30 LPA *** Strictly from DEVELOPMENT background *** ***** Looking for SHORT JOINERs ***** Who are we looking for? We are seeking a highly skilled and experienced Senior Scrum Master who will be responsible for leading Agile teams in delivering high-quality software solutions, ensuring that Scrum principles are effectively implemented and that teams are operating at peak performance. This role requires strong facilitation skills, a deep understanding of Agile methodologies, and a commitment to fostering a collaborative and innovative team environment. Technical Skills: Primary Skills 8+ years of EXP in Agile project management , with at least 3+ years as a Scrum Master . Proven EXP in leading cross-functional teams through the full Agile development lifecycle . JavaScript - Basics of JavaScript frameworks such as Node.js, React, Angular, etc. Generative AI - Knowledge of Generative AI, Gen AI based tools like GitHub Copilot, and basics on frameworks such as Langchain, Llamaindex. Strong understanding of Agile frameworks (Scrum, Kanban, etc.) and tools (e.g., JIRA, Confluence). EXP in scaling Agile practices (e.g., SAFe, LeSS) is a HUGE PLUS . Proficiency in Agile metrics and reporting to drive continuous improvement. Process Skills: Knowledge of Agile and Scrum development lifecycles along with modern project management practices. Experience in coaching teams to adopt Agile principles and practices effectively. *** Strictly from DEVELOPMENT background *** Feel free to CALL 8939666294 or click APPLY for IMMEDIATE response. Best Wishes, SHOBANA | GSN | 8939666294 | Google review : https://g.co/kgs/UAsF9W

About the Role: We are seeking a visionary AI Architect to drive our AI/ML and GenAI roadmap. You will lead the design of multi-modal generative workflows that combine image, video, and LLM-driven tasks for media workflow automation. This role will influence our core platform strategy by integrating custom and open-source diffusion models, prompt-to-image generation, segmentation, and agentic task orchestration using LLMs. Key Responsibilities: Architect AI solutions for image/video generation, segmentation, pose estimation, and retouching using diffusion models and GANs. Design agentic workflows leveraging LLMs (OpenAI, Claude, etc.) for orchestrating creative task chains, model prompting, or hybrid AI-human loops. Lead data pipeline and preparation strategy define data requirements, build annotation pipelines, and guide synthetic data generation. Evaluate and fine-tune foundation models like Stable Diffusion, ControlNet, OpenPose, DeepFaceLab, CP-VTON. Guide research, benchmarking, fine-tuning, and deployment of models. Evaluate build vs. buy decisions for third-party APIs or in-house model development. Ensure compliance with IP, client data protection, fairness, and ethical AI practices. Desired Skills: Deep experience in computer vision, generative AI (diffusion, transformers), and LLM integration Hands-on with PyTorch, Hugging Face, Diffusion/ GAN Architectures Hands-on with LLM and agentic frameworks like LangChain, AWS Bedrock Strong understanding of synthetic data pipelines, model evaluation metrics, and prompt engineering Strong understanding of image harmonization, segmentation, texture transfer Ability to architect scalable ML pipelines combining image/video generation with LLM reasoning Experience leading a technical team or managing AI initiatives end-to-end. Familiarity with AWS/GCP, GPU infrastructure, and scalable AI model serving Familiarity with co-pilot tools and AI-assisted code generation to accelerate prototyping and implementation of AI systems Desired Profile & Qualification: 8+ years in AI/ML roles including leadership in GenAI or CV-heavy platforms Degree in Computer Science, Machine Learning, or related field (MS/PhD preferred). Prior contributions to open-source AI or research publications is an advantage Note: This is an on-site position.

Must have Experience in GenAI + Python + Langchain + SQL Work Mode - Hybrid (3-4 Days from office NP Immediate to 30 Days Candidates available in Bengaluru for walk in Drive would be preferred For the quick response wp 8287377768 Ayush ( Don't call )

Job Description: Python Gen AI Developer Seeking an experienced Python Developer with expertise in Generative AI to join our AI & ML Engineering team. The ideal candidate will work on building intelligent applications leveraging large language models (LLMs) and deep learning to enhance customer experience and streamline business processes. Key Responsibilities: Design, develop, and deploy GenAI solutions using Python and modern AI frameworks. Work with LLMs (e.g., GPT, LLaMA, Claude) and fine-tune them for enterprise use cases. Develop prompt engineering strategies and support prompt optimization. Integrate AI models with backend services and data pipelines. Implement scalable and secure APIs and services for GenAI use cases. Collaborate with data scientists, ML engineers, and product teams. Ensure compliance with enterprise security, data governance, and regulatory standards. Required Skills: 5+ years of experience with Python in enterprise application development. Strong knowledge of GenAI tools (OpenAI, HuggingFace, LangChain, etc.). Experience with LLMs, prompt tuning, RAG (Retrieval Augmented Generation). Experience with Flask/FastAPI or similar frameworks. Familiarity with vector databases (e.g., FAISS, Pinecone). Understanding of NLP and transformer models. Good knowledge of Git, Docker, CI/CD. Nice to Have: Knowledge of Azure OpenAI or AWS Bedrock. Experience working in the finance or banking domain. Exposure to Kubernetes and model deployment pipelines

4+ years of experience in implementing and deploying Django applications in an enterprise-grade environment Experts in using source control management tools like Git and GitHub Experience in creating and scaling highly performing REST APIs Experience working with PostgreSQL, My SQL, and MS SQL A good understanding of AWS and the core services they offer Must have a hands-on experience with the OpenAI model (such as GPT4 / 4o mini) Must know LLM Model Training & Fine-tuning. Must know OpenCV and Pytorch / TensorFlow Knowledge of software development methodologies, such as Agile or Scrum Good to have, Hands-on experience on generative AI projects in real-world applications Experience in optimizing and fine-tuning generative models to improve performance, efficiency, and scalability, considering factors such as model size, computational requirements, and memory constraints knowledge of LangChain; And different chain types like ConversationalRetrieval Chain, SQLDatabase Chain etc. Knowledge of ChromaDb or Pinecone Vector Db Design, develop and refine AI-generated text prompts for various applications. Familiarity with cloud platforms such as Azure

Greetings We are looking for GEN AI Developers at Bangalore location Below are the details :- Primary Skill Genai, Langchain, Python, SQL Location –Bangalore Experience – 3 Years to 6 Years Work Mode : Hybrid If anyone interested, kindly come to our Bangalore office directly for Face-to-Face interview. Timings:- 11 AM to 3:30 PM

Senior Gen AI Engineer (Python, Lang chain) Location: India Experience: 5+years Notice Period: Immediate Employment: Fulltime About the Role As a Senior Gen AI Engineer, you'll take charge of designing, building, and deploying cutting-edge Generative AI / LLM systems. Your hands-on expertise in Python and LLM tools (Lang chain, RAG, prompt engineering, agent workflows) will drive our AI roadmap and translate business needs into scalable solutions. Key Responsibilities Architect and develop Gen AI/LLM-based applications using Lang chain and RAG pipelines. Engineer effective prompt strategies and autonomous agent workflows. Collaborate with engineering, ML/Ops, and domain experts to define and execute the LLM roadmap. Convert product/business requirements into secure, production-grade AI systems. Participate in code reviews, system design discussions, and performance tuning. Required Skills Strong proficiency in Python , Lang chain, SQL , and LLM tooling (prompt tuning, embeddings, vector DBs, agent frameworks). Understanding of LLM architecture and internals. Experience with cloud platforms ( AWS, Azure, or GCP). Solid foundation in machine learning or software engineering; systems-level mindset. Excellent communication, documentation, and stakeholder management skills. Preferred Qualifications 1+ years of hands-on experience with LLM development or Generative AI in production. Exposure to RAG , prompt engineering, and embeddings usage. Experience with ML pipelines, MLOps, and scalable model deployment. Previous involvement in client-facing AI engagements or cross-functional project delivery.

AI/ML Engineer Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Keeping abreast of developments in machine learning. AI/ML Engineer Requirements: Bachelor's degree in computer science, data science, mathematics, or a related field with at least 3+yrs of experience as an AI/ML Engineer Advanced proficiency with Python and FastAPI framework along with good exposure to libraries like scikit-learn, Pandas, NumPy etc.. Experience in working on ChatGPT, LangChain (Must), Large Language Models (Good to have) & Knowledge Graphs Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills.

Req ID: 312439 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Responsibilities: Conduct data analysis using Python. Develop AI models leveraging Langchain, LlamaIndex, and Azure OpenAI Services. Utilize Generative AI models and Natural Language Processing techniques. Implement Retrieval-Augmented Generation (RAG) solutions. Apply machine learning algorithms, data pre-processing, and manage AI lifecycle (model training, validation, monitoring). Minimum Skills Required: Qualifications: 2+ years of experience with AI Python development Bachelor's degree in computer science, Information Technology, or related field. Strong analytical skills and attention to detail. Ability to work independently or as part of a team. #GenAINTT About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

AI/ML & GenAI Development • Proven experience in building and deploying AI/ML and Generative AI applications • Hands of experience with RAG and Agentic AI based applications • Solid understanding of deep learning and Natural Language Processing (NLP) • Strong experience with Large Language Models (LLMs) and frameworks (e.g., Langchain, LlamaIndex) • Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar • Expertise in building enterprise-grade, secure data ingestion for structured/unstructured data, including indexing, search, and advanced retrieval --- Software Development & Cloud Platforms • Strong proficiency in Python programming language • Hands-on experience with cloud platforms such as Azure and Databricks (preferred) • Strong experience in building CI/CD pipeline templates for AI software development lifecycle (SDLC), including ML Ops, RAG pipelines, and data ingestion pipelines

Role: Python with Gen AI Developer Exp: 7+yrs Budget: Max 28 LPA Location: Bangalore (Hybrid) Must Have: Python libraries and frameworks,Generative AI, Prompt Engineering. Immediate to 30 Days. Ragul 8428065584

Responsibilities: * Design, develop, test & maintain Python software using Large Language Models with Langchain/Langflow framework * Collaborate with cross-functional teams on project requirements and deliverables Provident fund Health insurance

Data Engineer JLL Technologies Centre of Expertise What this job involves: #JLLTechAmbitions About the role JLL, an international real estate management company, is seeking a Business Analyst to join our JLL Technologies Team. This position will design and build Data and Business Intelligence solutions within the context of our applications and other client based customised needs. We are looking for a candidate with SSIS, SSRS, Alteryx and Tableau development experience along with expertise in Data Management using SQL. This individual will also have broad experience in database design and back-end development. Responsibilities Perform data management analysis using SSIS, Alteryx and SQL, including retrieving data from multiple sources, profiling, processing, validating, and migrating data to centralized data platforms. Regularly work in SQL and be able to create views, tables, and develop queries to answer questions Design, develop and deploy BI solutions, including interactive dashboards in Tableau and Power BI, sourcing data from internal MS SQL Server databases, Tableau published data sources, external sources, and leveraging ETL tools when needed. Devise and promote creative data visualizations, reports, tools, and dashboards to derive actionable real-time insights to business data pertinent to the audience (Tableau, etc.) Validate the calculations and results against known figures, other reports, peer reviews, etc. Develops, executes, and monitors simple to moderately complex data management analytic processes to support ad hoc data and information delivery for assigned projects Proactively identify opportunities to optimize the performance and efficiency of existing processes/procedures Translate the business questions and hypothesis into a data analysis plan. Execute the analysis either autonomously or in collaboration with others, depending on what the task calls for. Translate the results of the analysis into actionable recommendations and concrete answers to the business questions Independently develop, execute, and monitor complex data management/analytic processes to ensure deadlines are met for all assigned deliverables Provide subject matter expertise for all data related processes and analysis Sounds like you To apply you need to be: Experience & Education Bachelors or masters degree in Information Technology, Statistics, Economics, Business Administration, Information Systems, MIS, Computer Science, Data Analytics, or related field 0+ years of deep technical experience in database environments specializing in SQL Server 0+ years experience in ETL technologies like SSIS , Alteryx 0+ years of experience in Tableau Dashboard development. Experience producing technical design documentation. High level of technical skills with demonstrated ability to manage, manipulate, analyse raw data, research data issues, draw conclusions, provide resolution, and develop actionable recommendations Must have demonstrated experience in building and analysing reports and dashboards along with summarizing the data for business users - Able to take abstract ideas or requirements and work independently towards development of a report/dashboard Business analysis, consulting/advisory and/or project or client management experience will be a strong plus Strong SQL skills with experience developing complex queries and stored procedures Experience with Power BI, Microsoft Azure, and Big Data technologies would be a plus. Excellent oral, written, and presentation skills; can communicate comfortably across several levels including senior managers Impeccable attention to details and never compromising attitude for data accuracy Reliable, self-motivated, and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment Broad understanding of the Corporate Real Estate business is a plus Technical Skills & Competencies BI Development Tableau, SSRS Data Development SSIS Alteryx SQL Server (sql/stored procedures/views/SSIS) Database design/normalization experience Database Performance tuning Cloud Technologies Azure , AWS AI Application Architecture : Design and implementation of enterprise-grade AI solutions LangGraph & Langchain : Experience building complex AI agent workflows and applications Azure AI Integration : Proficiency with Azure OpenAI Service and related Azure AI offerings Open Source AI Models : Experience deploying and customizing open source LLMs React Application Development : Frontend development for AI-powered applications

candidates with experience in Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel), LLM who are passionate about product development and AI/ML Engineering.

Notice Period : Immediate - 30 days Job Summary : We are looking for a highly skilled Full Stack Developer with strong expertise in backend technologies like Python, Django, Flask/FastAPI, and frontend development using React.js. The ideal candidate will also have hands-on experience with SQL databases, familiarity with Generative AI concepts, and a foundational understanding of Microsoft Azure cloud services. Key Responsibilities : - Design, develop, test, and deploy scalable web applications using Django or FastAPI. - Build interactive UIs with React.js and integrate them with backend APIs. - Work with relational databases (e.g., PostgreSQL, MySQL) and write optimized SQL queries. - Develop and integrate AI-based features using Gen AI frameworks and tools (e.g., OpenAI APIs). - Follow Agile/Scrum methodologies and participate in sprint planning, reviews, and retrospectives. - Collaborate with DevOps teams for deployment and CI/CD setup on Azure. - Write clean, maintainable, and well-documented code. - Conduct code reviews and mentor junior developers if required. Mandatory Skills : - Strong Python programming experience. - Experience with Django and either Flask or FastAPI. - Proficiency in building RESTful APIs and backend services. - Solid frontend skills using React.js, HTML, CSS, and JavaScript. - Hands-on with SQL databases (PostgreSQL, MySQL, or equivalent). - Experience integrating Gen AI models or APIs (e.g., OpenAI, LangChain, Hugging Face). - Basic understanding of Azure cloud services (App Services, Azure Functions, Storage, etc.). Good to Have : - Experience with NoSQL databases (e.g., MongoDB). - Knowledge of containerization (Docker) and CI/CD pipelines. - Familiarity with authentication/authorization using OAuth, JWT, etc. - Exposure to cloud-native development or serverless architecture. - Knowledge of unit testing frameworks (pytest, unittest, etc.). Soft Skills : - Strong problem-solving and analytical skills. - Good communication and teamwork abilities. - Proactive attitude and willingness to take ownership.

Deep, hands-on experience in GenAI, LLM fine-tuning, and multi-agent orchestration frameworks (LangChain, DSPy, Haystack, or similar), with a track record of delivering production-ready systems. 5+ years of proven experience in Machine Learning and AI engineering, with a strong emphasis on leadership, architecture ownership, and scaling ML systems in real-world environments. A solid ML/AI engineering background spanning both foundational modeling (NLP, transformers, RAG) and traditional machine learning approaches. Strong Python engineering skills you write clean, scalable, production-ready code, not just research notebooks. A startup mindset — curiosity, speed, resourcefulness, and a relentless focus on shipping solutions that move the needle. Proven ability to mentor and guide ML specialists and engineers, fostering technical growth and best practices within a fast-paced team. Bonus: Experience in insurance tech or document intelligence (SOVs, Loss Runs, ACORDs) is highly valued.Here are responses, by order:

8+ yrs of exp with min 3 years on building, training & deploying AI/ML models in a production environment. Will lead end-to-end design, development, prototyping, deployment of custom AI & Machine Learning models that address specific client need Required Candidate profile Hands-on exp in designing & implementing Retrieval-Augmented Generation (RAG) systems using modern frameworks like LangChain or LlamaIndex & vector databases (e.g., Pinecone, Chroma). Perks and benefits Connect at +91 7975273124 / Prakrity@workoid.in

Responsibilities : Build and deploy GenAI applications using LLMs, prompt engineering, and RAG frameworks. Hands-on with prompt engineering, RAG, LLM fine-tuning, and deployment workflows. Implement AI-driven solutions for analyzing, understanding, and migrating legacy codebases. Utilize AI tools to analyze complex legacy systems, identify business logic, dependencies, and potential risks associated with migration. Integrate APIs like OpenAI, Claude, Azure OpenAI, etc., into products or tools. Develop reusable components for prompt handling, embeddings, vector search, etc. Collaborate with designers, BAs, and QA teams to iterate on MVPs and features. Optimize performance, prompt quality, and latency in GenAI pipelines. Requirements : Proficiency in Python, LangChain, LangGraph and GenAI APIs. Hands-on experience with vector databases (Pinecone, FAISS, ChromaDB). Understanding of Agentic AI, LLMs, transformers, and orchestration frameworks. Exposure to cloud services (AWS/GCP/Azure) and CI/CD practices. Stay current with AI trends and tools. Role & responsibilities

About Position: We are seeking a highly skilled Senior Python AI Developer with proven experience in Generative AI, LangChain, and data pipeline integration tools like Logstash and Elasticsearch. Role: Python AI Developer Location: Pune Experience: 4-8 Years Job Type: Full Time Employment What You'll Do: Design and implement scalable and secure AI applications using Generative AI models (e.g., GPT, Claude, LLaMA). Develop and optimize pipelines using LangChain for prompt engineering, document retrieval (RAG), and intelligent agent workflows. Build RESTful APIs to expose AI/ML services and integrate them into applications. Architect and manage data flows from structured/unstructured sources using Logstash and Elasticsearch. Index, search, and analyze large datasets using Elasticsearch and integrate them with vector embeddings. Collaborate with product, data, and ML teams to define AI application scope and deliver robust solutions. Ensure performance, scalability, and security in AI and API services. Document system architecture, workflows, and API specifications. Expertise You'll Bring: 4+ years of professional experience in Python development. Strong hands-on experience with LangChain and Generative AI architectures. Proficiency in building and consuming REST APIs. Solid understanding of Elasticsearch (indexing, querying, vector search) and Logstash for data ingestion and transformation. Experience working with LLMs (OpenAI, Cohere, Hugging Face, etc.) and building RAG (Retrieval-Augmented Generation) pipelines. Familiarity with vector stores (e.g., FAISS, Weaviate, Pinecone). Strong knowledge of software engineering principles, version control (Git), and agile methodologies. Excellent problem-solving skills, with a focus on quality and attention to detail. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Immediate joiners can apply.Design and develop AI solutions like chatbots using LangChain or Llama to automate tasks, improve decision-making, and extract insights from data. Collaborate with developers, and other stakeholders to understand business needs and translate them into technical requirements. Develop and maintain code to interact with databases and retrieve store, and prepare data for AI models. Integrate AI LLMS in LangChain or Llama with existing workflows and applications. Write clean, maintainable, and well-documented code.

About the Role We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions. You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems. Responsibilities Generative AI Pipeline Development Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads. Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs. Build CI/CD pipelines with integrated prompt regression testing and version control. Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows. Monitor system performance using tools like Langfuse or Prometheus. Data and Document Ingestion Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data. Apply preprocessing pipelines for text, images, and code. Ensure data integrity, format consistency, and security across sources. AI Service Integration Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.). Build internal APIs for smooth backend-AI communication. Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets. Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy. Retrieval-Augmented Generation (RAG) Pipelines Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API). Design custom retrieval strategies for multi-modal or multi-source documents. Apply post-retrieval ranking using DPO or feedback-based techniques. Improve contextual relevance through re-ranking, chunk merging, and scoring logic. LLM Integration and Optimization Manage prompt engineering, model interaction, and tuning workflows. Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design. Optimize generation using temperature tuning, token limits, and speculative decoding. Integrate observability and cost-monitoring into LLM workflows. Backend Services Ownership Design and maintain scalable backend services supporting GenAI applications. Implement monitoring, logging, and performance tracing. Build RBAC (Role-Based Access Control) and multi-tenant personalization. Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production. Required Skills and Qualifications Education Bachelors or Masters in Computer Science, Artificial Intelligence, Machine Learning, or related field. Experience 5+ years of experience in AI/ML engineering with end-to-end pipeline development. Hands-on experience building and deploying LLM/RAG systems in production. Strong experience with public cloud platforms (AWS, Azure, or GCP). Technical Skills Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch. Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph. Experience with RESTful API development and version control using Git. Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval. Familiarity with Docker, Kubernetes, and scalable microservice design. Experience with observability tools like Prometheus, Grafana, or Langfuse. Generative AI Specific Skills Knowledge of LLMs, VAEs, Diffusion Models, GANs. Experience building structured + unstructured RAG pipelines. Prompt engineering with safety controls, schema enforcement, and hallucination mitigation. Experience with prompt testing, caching strategies, output filtering, and fallback logic. Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods. Soft Skills Strong analytical, problem-solving, and debugging skills. Excellent collaboration with cross-functional teams: product, QA, and DevOps. Ability to work in fast-paced, agile environments and deliver production-grade solutions. Clear communication and strong documentation practices. Preferred Qualifications Experience with OCR, document parsing, and layout-aware chunking. Hands-on with MLOps and LLMOps tools for Generative AI. Contributions to open-source GenAI or AI infrastructure projects. Knowledge of GenAI governance, ethical deployment, and usage controls. Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI. Experience and Shift Shift Time: 2:30 PM to 11:30 PM IST Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

JOB DESCRIPTION Job Position: Principal Technical Expert/ Sr. SDE Experience Required: 8 - 12 Yrs Location: Bangalore **Candidates Applying Should be Proficient and should have Hands on experience With Java Full Stack** Summary entomo is an Equal Opportunity Employer. The company promotes and supports a diverse workforce at all levels across the Company. The Company ensures that its associates or potential hires, third-party support staff and suppliers are not discriminated against, directly or indirectly, as a result of their colour, creed, cast, race, nationality, ethnicity or national origin, marital status, pregnancy, age, disability, religion or similar philosophical belief, sexual orientation, gender or gender reassignment, etc. Under the direct supervision of the Director Engineering this position provides Principal Technical Expert to create amazing user interface and experience. A Principal Technical Expert is responsible for many duties throughout the development lifecycle of applications, from concept and design to testing. Responsibilities : Leads technical design and development. Ensure high-quality, scalable, and testable application architecture through rigorous design leadership and best practices. Owning complex features, writing quality code and tests, mentoring engineers, and championing quality standards within a CI/CD environment. Experience and Expertise Requirement : 8+ years related software development experience. Proficiency in Java, SQL, Mongo and Angular, JavaScript, TypeScript, Node JS. Working experience in Angular 6+ Expertise in Gen AI frameworks, LangChain ecosystem, HuggingFace, LLM capabilities, AI cost optimization Very strong programming skills and should be able to write optimized, modular code. Should have good communication, and interpersonal skills. Ability to work in faced-paced agile environment and cope with the speed of scrum process. Strong problem-solving skills and attention to detail. Traits to take ownership of the components and deliver work that including development, unit testing, and bug-fixing. Supervisory Responsibility This position may have supervisory responsibilities. Educational Qualification Bachelors degree in computers or software engineering or Masters degree in computer science, Computer Applications

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Role: Artificial Intelligence Engineer Location Bangalore (Ashok Nagar) Experience : 3 to 5 years Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office Job Description We are looking for an experienced AI Engineer to join our team and develop advanced AI solutions. The role involves designing, training, and deploying machine learning models to address complex business challenges. Proficiency in Python, TensorFlow, and experience working with large datasets are critical for success. Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -