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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.
Role Overview:
We are looking for a skilled Golang Developer with 3.5+ years of experience in building scalable backend services and deploying cloud-native applications using AWS. This is a key position that requires a deep understanding of Golang and cloud infrastructure to help us build robust solutions for global clients.
Key Responsibilities:
- Design and develop backend services, APIs, and microservices using Golang.
- Build and deploy cloud-native applications on AWS using services like Lambda, EC2, S3, RDS, and more.
- Optimize application performance, scalability, and reliability.
- Collaborate closely with frontend, DevOps, and product teams.
- Write clean, maintainable code and participate in code reviews.
- Implement best practices in security, performance, and cloud architecture.
- Contribute to CI/CD pipelines and automated deployment processes.
- Debug and resolve technical issues across the stack.
Required Skills & Qualifications:
- 3.5+ years of hands-on experience with Golang development.
- Strong experience with AWS services such as EC2, Lambda, S3, RDS, DynamoDB, CloudWatch, etc.
- Proficient in developing and consuming RESTful APIs.
- Familiar with Docker, Kubernetes or AWS ECS for container orchestration.
- Experience with Infrastructure as Code (Terraform, CloudFormation) is a plus.
- Good understanding of microservices architecture and distributed systems.
- Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Familiarity with Git, CI/CD pipelines, and agile workflows.
- Strong problem-solving, debugging, and communication skills.
Nice to Have:
- Experience with serverless applications and architecture (AWS Lambda, API Gateway, etc.)
- Exposure to NoSQL databases like DynamoDB or MongoDB.
- Contributions to open-source Golang projects or an active GitHub portfolio.

Mandatory Criteria :
- Candidate must have Strong hands-on experience with Kubernetes of atleast 2 years in production environments.
- Candidate should have Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI).
- Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
- Candidate should have strong Backend experience.
- Hands-on experience with BigQuery or Snowflake for data analytics and integration.
About the Role
We are looking for a highly skilled and motivated Cloud Backend Engineer with 4–7 years of experience, who has worked extensively on at least one major cloud platform (GCP, AWS, Azure, or OCI). Experience with multiple cloud providers is a strong plus. As a Senior Development Engineer, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.
# Experience with Kubernetes is mandatory.
Key Responsibilities
- Design and develop scalable, reliable backend services and cloud-native applications.
- Build and manage RESTful APIs, microservices, and asynchronous data processing systems.
- Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.
- Implement and manage CI/CD pipelines and infrastructure automation.
- Collaborate with frontend, DevOps, and product teams in an agile environment.
- Ensure high code quality through testing, reviews, and documentation.
Required Skills
- Strong hands-on experience with Kubernetes of atleast 2 years in production environments (mandatory).
- Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI].
- Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
- Solid understanding of distributed systems, microservices, and cloud-native architecture.
- Experience with containerization using Docker and Kubernetes-native deployment workflows.
- Working knowledge of SQL and relational databases.
Preferred Qualifications
- Experience working across multiple cloud platforms.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).
- Hands-on experience with BigQuery or Snowflake for data analytics and integration.
Nice to Have
- Knowledge of NoSQL databases or event-driven/message-based architectures.
- Experience with serverless services, managed data pipelines, or data lake platforms.
Python Full stack developer.
1. Product based Full stack developer - Python back end - Core Python
2. Worked with Database - MongoDB/ MySql
3. Should have worked with ORMs
4. Knowledge of REST APIs
5. Should have developed Python applications.
6. Cloud Technology - Worked with AWS/ Azure. Not yet decided on what we
are going to go with.
7. Deplyment tools knowledge
8. Good knowledge of Front end dev - CSS/ JS/ React
9. Version Control - Git
10. Frameworks - Flask/ Django. (Ideally Flask)
11. Script writing
Should have worked on a full system design and architecture along with
coding up the same.
The 10BedICU team within eGovernments Foundation works as a small distributed start-up in the NGO space. We are a technology oriented team on the journey to make critical healthcare more accessible across the country.
As a banckend dev in the team, you will be working on some of the most interesting challenges and collaborating with telented and highly skilled individuals across the industry.
Period: 6 months+
JD:
● 4-7 years of experience building and scaling APIs and web applications.
● Experience building and managing large scale data/analytics systems.
● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good
understanding of software design principles and architectural best practices.
● Be passionate about writing code and have experience coding in multiple languages, including at least
one scripting language, preferably Python.
● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision
is right/wrong, and so on.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● Have experience working with multiple storage and indexing technologies such as MySQL, Redis,
MongoDB, Cassandra, Elastic.
● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana,
Graylog, StatsD, Datadog etc.
● Working knowledge of building websites and apps. Good understanding of integration complexities and
dependencies.
● Working knowledge linux server administration as well as the AWS ecosystem is desirable.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.








