Agentic AI Engineer
First seen by Alion on Aug 17, 2026.
Job Details :
Role : Senior DS (ATA)
Experience : 7 - 10 Years
Mode of work : Hybrid Model
Work Location : Hyderabad
Role Overview :
- Analyse client data landscapes of varying quality and consistency, and design AI/ML solutions that fit within our existing product and solution offering.
- Build and maintain end-to-end GenAI and Agentic AI solutions RAG pipelines, LLM integrations, NLP workflows using LangChain, HuggingFace and FastAPI.
- Design, implement and maintain data infrastructure and pipelines supporting machine learning operations (ETL, PySpark, Databricks).
- Collect, clean and pre-process large multi-source datasets to ensure accuracy and consistency.
- Implement and tune machine learning and deep learning models using TensorFlow, PyTorch, scikit-learn and Keras.
- Evaluate LLM and RAG solution quality using frameworks such as RAGAS; conduct ad-hoc analysis to answer specific business questions.
- Develop and integrate APIs to expose AI/ML capabilities to downstream applications.
- Build and maintain dashboards and monitoring tools (Power BI or similar) to track key performance indicators.
- Deploy and operate solutions on Azure and AWS using Docker, App Insights and standard DevOps practices.
- Identify and evaluate new technologies to improve performance, maintainability and reliability of existing ML systems.
- Collaborate with business stakeholders, data scientists, software engineers, QA and DevOps teams; communicate insights and recommendations clearly.
Roles & Responsibilities :
- Overall 5+ years of experience in AI/ML implementation, data engineering and software development.
- Hands-on end-to-end delivery experience across GenAI, Agentic AI, NLP, RAG, LangChain, HuggingFace, RAGAS, FastAPI and OCR.
- Strong proficiency in Python with proven API integration and software engineering discipline.
- Experience working with cloud platforms Microsoft Azure and AWS including Databricks, Docker and App Insights.
- Working knowledge of ML/DL frameworks : TensorFlow, PyTorch, scikit-learn, Keras, Pandas.
- Experience with data technologies data wrangling, ETL/data integration, data profiling, data quality and data discovery; PySpark exposure.
- Familiarity with metadata management tools and visualisation platforms such as Power BI.
- Clear understanding of data engineering, classical ML, AI models and LLMs.
- Strong analytical and problem-solving skills, with all-round communication and collaborative working style.
- Bachelor's/Master's in Computer Science or Information Science (B. Tech, MCA, MS Computers).
Skills
Agentic AI, Artificial Intelligence, Generative AI, RAG, LLM, LangChain, Data Infrastructure, Deep Learning, Machine Learning, Monitoring Tools, Python