Urgent! Gen AI Engineer Job Opening In Anand – Now Hiring ADP
Job Summary:
We are seeking a highly skilled and experienced Senior Generative AI Engineer to lead the development of intelligent agents powered by advanced generative AI models.
In this role, you will be responsible for designing, implementing, and optimizing AI-driven agents that interact naturally with users and systems.
You will collaborate with cross-functional teams to bring cutting-edge generative models to life, with a strong emphasis on Python programming, machine learning, and deep learning.
Key Responsibilities:
• Design, build, and optimize generative AI agents for use in complex applications and workflows.
•Develop and fine-tune LLM-based (e.g., GPT, LLaMA, Mistral) agents for autonomous or semi-autonomous decision-making and task execution.
• Write robust, scalable Python code to support AI pipelines, model serving, and agent orchestration.
• Integrate various ML and deep learning techniques to enhance agent capabilities, including memory, reasoning, and tool usage.
• Leverage frameworks such as LangChain and LlamaIndex build and chain agent actions.
•Work with structured and unstructured data sources (e.g., text, embeddings, knowledge graphs) to train and inform agents.
• Collaborate with product managers, data scientists, and software engineers to deploy agent-based systems into production environments.
• Stay updated on the latest research and trends in GenAI, LLMs, and autonomous agents.
Requirements:
Must-Have:
• 5+ years of experience in software development, with at least 2–3 years in machine learning or deep learning.
•Strong proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, etc.
• Experience building or customizing generative models (text generation, summarization, question answering).
• Proven experience developing AI agents using frameworks like LangChain, CrewAI, AutoGen, etc.
• Solid understanding of LLM architecture, prompt engineering, and retrieval-augmented generation (RAG).
• Familiarity with orchestration tools and APIs for tool-use and multi-agent coordination.
•Experience with model fine-tuning, embeddings, vector databases (e.g., FAISS, Weaviate), and serving ML models in production.
• Strong problem-solving skills, ability to work independently and in a team.
Nice-to-Have:
•Experience with multi-modal AI (text + vision/audio).
• Familiarity with reinforcement learning or human-in-the-loop systems.
• Contributions to open-source GenAI tools or frameworks.
•MLOps experience: model deployment, monitoring, and scaling.
Tools & Technologies Required
Programming & Frameworks:
• Python – Primary language for AI development (Required)
•PyTorch / TensorFlow – Deep learning frameworks (Required)
• Hugging Face Transformers – For using and fine-tuning LLMs (Required)
•LangChain / CrewAI / AutoGen / Haystack – For building LLM-powered agents (Required)
LLM & NLP:
•OpenAI GPT (e.g., GPT-4 / GPT-4o), Anthropic Claude, LLaMA, Mistral, Mixtral, or similar – Familiarity with both proprietary and open-source LLMs (Required)
• Prompt engineering and optimization – Crafting and refining system and user prompts (Required)
• RAG (Retrieval-Augmented Generation) pipelines (Required)
Data & Vector Search:
•Vector Databases: FAISS, Weaviate, Pinecone, Chroma (Required)
•Embeddings APIs: OpenAI, Hugging Face, Cohere (Required)
• Oracle DB
Model Deployment & MLOps:
•FastAPI / Flask – For serving models as APIs (Required)
•Docker / Kubernetes – Containerization and orchestration (Nice-to-Have)
•MLflow / Weights & Biases – Model tracking and experiment management (Nice-to-Have)
Orchestration & Tool Use:
•Agent Frameworks: LangGraph, Semantic Kernel, or similar (Required)
•Tool Calling APIs: OpenAI function calling, Toolformer-like tool integration (Required)
DevOps & Infrastructure:
•Git/GitHub – Version control (Required)
•Cloud platforms: AWS, GCP, Azure – Especially for GPU/TPU access (Nice-to-Have)
•CI/CD tools – GitHub Actions, Jenkins (Nice-to-Have)
Other Helpful Tools :
•VSCode / Jupyter Notebooks – Development environments (Required)
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Unlock Your Gen AI Potential: Insight & Career Growth Guide
Real-time Gen AI Jobs Trends in Anand, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Gen AI in Anand, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 114706 jobs in India and 886 jobs in Anand. This comprehensive analysis highlights market share and opportunities for professionals in Gen AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! ADP is currently hiring and seeking a Gen AI Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Gen AI Engineer Jobs Anand.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ADP adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Gen AI Engineer Jobs India varies, but the pay scale is rated "Standard" in Anand. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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