The Role
Designs, develops, deploys, and scales predictive machine learning, deep learning, generative AI, and agentic AI solutions. Builds LLM, RAG, and cloud-based AI systems, performs research, develops ETL pipelines using SQL, and translates business requirements into production solutions. Leads junior AI engineers and communicates technical concepts to technical and non-technical stakeholders.
Summary Generated by Built In
We are seeking an experienced and driven Senior AI/ML Engineer with 5-8 years of experience in AI/ML – Predictive ML, GenAI and Agentic AI. The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving.
- As an AI/ML Solution Engineer, build AI/ML, Gen AI, Agentic AI empowered practical in-depth solutions for solving customer’s business problems.
- As an AI/ML Solution Engineer, design, develop, and deploy machine learning models and algorithms.
- Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI.
- Lead a team of junior AI engineers, providing direction and support.
Requirements
- Bachelor’s or Master’s degree in computer science / AIML / Data Science.
- 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and LLM models for solving business problems.
- Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems.
- Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face), or MLlib.
- Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc
- Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen AI services.
- Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments.
- Experience with scripting in SQL, extracting large datasets, and designing ETL flows.
- Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions.
- Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Skills Required
- Bachelor’s or master’s degree in computer science, AI/ML, or data science
- 5 to 8 years of overall AI/ML experience
- Hands-on experience designing and implementing machine learning, deep learning, and LLM models
- Experience with generative AI, prompt engineering, LLM fine-tuning, embeddings, vector databases, and RAG systems
- Expertise in Python, NumPy, Scikit-learn, Pandas, TensorFlow, PyTorch, Transformers, or MLlib
- Experience with agentic AI frameworks including Autogen, LangGraph, CrewAI, or Agentforce
- Expertise designing and implementing cloud-based data and AI solutions using GCP, AWS, or Azure
- Experience building scalable machine learning and generative AI solutions and deploying them to production
- Experience with SQL, large dataset extraction, and ETL flow design
- Strong problem-solving, analytical, communication, and stakeholder translation skills
- Experience leading and supporting junior AI engineers
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The Company
What We Do
Agivant Technologies is a new-age, AI-first digital and cloud engineering services company. It helps enterprises use cutting-edge technology, AI, automation, and platform engineering to create new business models, accelerate growth, and deliver measurable impact. The company also emphasizes a dual mission: driving client business success while expanding access to opportunities for technology talent in underserved, mid-tier locations across global markets.
