Data Engineer - AWS/AI Platform
First seen by Alion on Jul 28, 2026.
Position : Data Engineer - AWS AI
Type of Employment : Full-time
Purpose of the Position :
This role is ideal for individuals who are passionate about applying their expertise in AI Engineering, Data Engineering, programming, data analysis, and problem-solving to real-world challenges.
As a key member of our engineering team, you will support clients on their AI journey by developing solutions that drive measurable business value.
This position plays a critical role in advancing Infocepts' strategic goals by delivering data-driven insights and enabling transformative AI/ML programs.
Key Result Areas and Activities :
Data & Cloud Engineering :
- Design and maintain high-performance ETL/ELT pipelines on AWS using PySpark, Python, SQL across EMR, Glue, Lambda, Step Functions, Redshift, and S3.
Applied AI - LLM, RAG, Agentic Workflows :
- Develop, fine-tune, and deploy LLMs (GPT-4 class, BERT, T5) for enterprise applications.
- Implement RAG using FAISS, Elasticsearch, LangChain, LlamaIndex, or similar frameworks for grounding, vector search, and knowledge retrieval.
AI Platform & Tooling (Modern Stack) :
- Work with emerging enterprise AI platforms including : Snowflake Cortex for secure LLM inferencing, embeddings, and feature pipelines; Databricks Lakehouse AI / Databricks Genie for model training, inference, and agentic workloads.
Architecture, Governance & Collaboration :
- Contribute to solution architecture, AI governance, data security, and model lifecycle frameworks.
Essential Skills :
- Expert-level skills in Python, PySpark, Scala and advanced SQL.
- Hands-on experience with AWS (EMR) services.
- Working experience with LLMs, RAG, vector databases, and transformer-based architectures.
- Solid understanding of distributed systems, data modeling, and data platform design.
Desirable Skills :
- Experience with Snowflake Cortex for secure enterprise LLM workloads.
- Experience with Databricks Genie / Lakehouse AI, Unity Catalog, Delta Live Tables.
- Good functional knowledge of Media & Entertainment domain.
- Knowledge of prompt engineering, safety guardrails, and agent tooling.
- Familiarity with feature stores, model registries, MLflow, or similar tooling.
- Knowledge of statistical methods, deep learning, NLP techniques.
Qualifications :
- 3+ years of experience across AI/ML and Data Engineering.
- Bachelors degree in computer science engineering, or related field (masters degree is a plus).
Qualities :
- Strong collaboration across cross-functional and cross-time-zone teams.
- Persuasive communicator with strong presentation and storytelling skills.
Location :
- Pune, Maharashtra, India
Years Of Exp :
- 3 to 7 years
Skills
Data Engineering, AWS, ETL, PySpark, Python, SQL, LLM, RAG, Agentic AI, Artificial Intelligence, Azure Databricks