Software Developer

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

Senior Python Developer

Experience: 4–8 Years

About the Role

We are looking for a Senior Python Developer Engineer to join our team. This role focuses on building and maintaining data-intensive backend systems, handling large-scale datasets, and exposing insights through robust, scalable APIs.

You will work closely with operational and transactional data, design efficient data pipelines, and build backend services that power analytics, reports, and ERP workflows. The ideal candidate is strong in Python, excellent with data and databases, and capable of owning features end-to-end.

Key Responsibilities

• Analyze large datasets to identify trends, inconsistencies, and operational insights.
• Design, build, and maintain backend services and REST APIs using Python and FastAPI.
• Perform advanced data manipulation and aggregation using Pandas, NumPy, and SQL.
• Design and optimize data pipelines for analytics, reporting, and downstream systems.
• Implement automated data quality checks, validations, and monitoring scripts.
• Work closely with product, application, and business teams to translate raw data into clear, actionable outputs.
• Optimize query performance across relational and analytical databases.
• Expose processed data and insights via APIs or dashboards for consumption by web or ERP applications.
• Ensure high standards of code quality, performance, scalability, and maintainability.
• Write clear documentation for APIs, data flows, and processing logic.

Required Skills & Qualifications

• 4–8 years of strong, hands-on experience with Python in production systems.
• Excellent experience with data handling, processing, and large datasets.
• Strong experience building APIs using FastAPI (or similar frameworks).
• Deep expertise in Pandas, NumPy, and SQL.
• Solid experience with MySQL and PostgreSQL.
• Experience working with analytical or reporting workloads.
• Strong understanding of data modeling, joins, aggregations, and performance tuning.
• Proficiency with Git and collaborative development workflows.
• Strong analytical and problem-solving skills with the ability to work independently.

Good to Have

• Experience with ClickHouse, Databricks, or Elasticsearch.
• Exposure to data engineering concepts such as ETL/ELT, batch processing, and data pipelines.
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster).
• Familiarity with data visualization libraries (Plotly, Matplotlib, Seaborn).
• Experience with AWS services (S3, EC2, RDS, Lambda).
• Prior experience integrating data services into ERP or business applications.

Soft Skills

• Strong analytical mindset and attention to detail.
• High ownership and accountability.
• Ability to work independently with minimal supervision.
• Clear communication and documentation skills.
• Proactive, solution-oriented approach.