Generative AI Engineer - LLM/LangChain in work from home, India
icc staffing services
India
Generative AI Engineer - LLM/LangChain in work from home, India is listed on Jobeax. Browse 30,000+ vacancies available.
Salary : 25 - 50 LPAAbout the Role :As a Gen AI Engineer at MNC, you will be responsible for developing and implementing applications using large language models (LLMs). Your expertise in Python and LangChain will be essential in creating scalable, efficient, and innovative AI solutions. You will work closely with cross-functional teams to design, develop, and deploy state-of-the-art AI https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities :- Develop and implement AI applications using large language models (LLMs) with Python and LangChain.- Design, build, and optimize machine learning algorithms for generative AI applications.- Collaborate with data scientists, software engineers, and product managers to create robust AI-driven applications.- Conduct research to stay updated with the latest advancements in generative AI and LLMs.- Analyze and preprocess large datasets to ensure high-quality input for model training.- Evaluate and fine-tune models to achieve optimal performance and accuracy.- Write clean, maintainable, and efficient code adhering to best practices.- Participate in code reviews and provide constructive feedback to team members.- Document technical specifications, processes, and model performance https://jobeax.com/link/b2FqgaieFAmFIdoa :- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.- Proven experience in Python programming and developing AI models.- Strong expertise in LangChain and its applications in generative AI.- Solid understanding of large language models (LLMs) and their implementation.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing (NLP) techniques and tools.- Ability to work with large datasets and perform data preprocessing and analysis.- Excellent problem-solving skills and a proactive approach to challenges.- Strong communication skills and ability to work effectively in a collaborative team environment. (ref:hirist.tech)
... collaboration skills. Exposure to Large Language Models (LLMs) Experience with Retrieval-Augmented Generation (RAG) frameworks and implementations Familiarity with LangChain Roles & Responsibilities Design, develop, and implement generative AI applications using Python and GCP's AI/ML services (e.g., Vertex AI, GenAI APIs, Google ...
... capacity- Expert-level Java development with deep understanding of JVM behavior, memory management, concurrency patterns, threading, and performance tuning- Embraces AI-assisted developmentactively leverages LLMs, AI coding tools, and intelligent automation to accelerate engineering velocity, improve code quality, and multiply ...
... trade-offs clearly to both engineers and non-technical stakeholders. Preferred Qualifications - Agentic tooling: Experience with the Model Context Protocol (MCP), LangChain, LangGraph, or comparable agentic orchestration frameworks. - AI platform: Familiarity with Azure AI Foundry (good to have). - LLM platforms: Practical experience ...
... evaluating LLM output https://jobeax.com/link/x9syMwGh42X5veir Responsibilities :- Lead Engineering Teams: Provide technical leadership and mentorship to data engineers, fostering a culture of excellence, innovation, and continuous improvement.- AI/ML Enablement: Collaborate with Data Science and ML Engineering teams to operationalize ...
... standardize secure interactions between LLMs, agents, enterprise tools, APIs, databases, and local resources Design and deploy high-performance containerized Generative AI workloads in production using Docker, Kubernetes, model quantization, and KV-cache optimization to reduce latency and memory footprint Define engineering ...
... standardize secure interactions between LLMs, agents, enterprise tools, APIs, databases, and local resources Design and deploy high-performance containerized Generative AI workloads in production using Docker, Kubernetes, model quantization, and KV-cache optimization to reduce latency and memory footprint Define engineering ...
... production LLM/agentic systems: multi-agent orchestration, tool/function calling, RAG Deep familiarity with agent frameworks (LangGraph, LangChain, AutoGen, CrewAI, or similar) and Python Strong grasp of vector databases, context/memory management, and agent evaluation, safety, and observability practices Telecom Domain ~ ...
... production-quality software. - Strong understanding of machine learning algorithms, model development, evaluation, and optimisation. - Hands-on experience with Generative AI, LLMs, NLP, or modern AI frameworks is highly desirable. - Experience working with large datasets, data pipelines, feature engineering, and data processing. ...
... https://jobeax.com/link/znvmlvLTOQQbyOD6 Qualifications :- 10 - 15 years of experience in software engineering, AI, or data platforms (8+ years in AI/ML, 2 - 4 years in GenAI/LLM systems).- Proven track record designing and deploying production-grade AI/ML systems at scale.- Hands-on ownership of GenAI / LLM-based systems in production ...
... of Python, SQL, and modern data science libraries. Strong experience with machine learning, deep learning, and statistical modelling. Hands-on expertise in Generative AI, Large Language Models (LLMs), RAG frameworks, vector databases, and prompt engineering. Experience with Microsoft Azure cloud platform, AWS and Google ...
... OpenAI and Generative AI technologies . The ideal candidate will have a strong foundation in machine learning, natural language processing (NLP), and cloud-based AI solutions. You will be responsible for designing, developing, and deploying intelligent solutions that leverage large language models (LLMs) and generative AI ...
... month) (*Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling ...
... , including: - Agentic AI systems - Tools & LLM-based applications - Strong programming skills in Python with experience in APIs . - Hands-on experience with AI agent frameworks such as LangChain, LangGraph , or similar. - Experience in LLM integration and prompt engineering. - Experience working with vector databases ...
... including MLOps/LLMOps practices Must-Have Skills - 16–18 years in Infrastructure/Cloud engineering or architecture, with the last 5–6 years focused on applied AI/ML/LLM work - Strong hands-on coding ability — Python (must), API integration, SDK usage (OpenAI/Anthropic/LangChain/LlamaIndex) - Solid understanding of LLM fundamentals: ...
... and implement AI/ML-based solutions using Python.- Build and fine-tune models using TensorFlow, PyTorch, or similar frameworks.- Apply Large Language Models (LLMs) to build and optimize NLP-based services.- Preprocess large datasets, engineer features, and evaluate model performance.- Collaborate with senior engineers ...
... mobile applications. We are hiring passionate AI Software Engineers (Data Scientists) with experience in Python Programming Language, Machine Learning and Generative AI to join our technology team. As a key member, you will play a crucial role in designing, developing, and maintaining data-driven applications. As an AI ...
... deploying Gen AI solutions/LLMs through integration with software applications - Open AI GPT models, Google Gemini, Mistral, etc. and orchestration frameworks like LangChain, LangGraph.- Strong Python proficiency; expertise in designing modular, testable, maintainable ML systems; experience with design patterns and architectural ...