Process Manager
Actively Reviewing the ApplicationseClerx
India, Maharashtra
Full-Time
On-site
Posted 8 hours ago
•
Apply by June 4, 2026
Job Description
Job Description
We are seeking a highly skilled and experienced Senior Python Developer with expertise in Generative AI (GenAI) and Prompt Engineering to join our dynamic team. The ideal candidate will have 10–12 years of relevant experience and be well-versed in Python, SQL, LLM (Large Language Models), Langchain, and GenAI prompt engineering techniques. If you are passionate about leveraging cutting-edge AI technologies and are looking for an opportunity to make an impactful contribution, we would love to hear from you!
Key Responsibilities:
eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.
We are seeking a highly skilled and experienced Senior Python Developer with expertise in Generative AI (GenAI) and Prompt Engineering to join our dynamic team. The ideal candidate will have 10–12 years of relevant experience and be well-versed in Python, SQL, LLM (Large Language Models), Langchain, and GenAI prompt engineering techniques. If you are passionate about leveraging cutting-edge AI technologies and are looking for an opportunity to make an impactful contribution, we would love to hear from you!
Key Responsibilities:
- AI and Machine Learning Model Design: Lead the design, development, and optimization of Batch LLM (Large Language Models) and GenAI-driven applications, ensuring performance, scalability, and robustness.
- Prompt Engineering: Develop and refine AI prompt flows to enhance the effectiveness and accuracy of LLMs, OpenAI models, and other AI-driven systems.
- Python Development: Write clean, efficient, and maintainable Python code for AI, data processing, and backend services.
- REST API Development: Design, develop, and integrate REST APIs to interact with AI models and third-party systems.
- Database Management: Work with SQL databases to manage and query data for AI systems and applications.
- Version Control & CI/CD: Utilize Git for version control and CI/CD pipelines for automated deployment processes.
- Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to design and deploy AI-powered solutions.
- Documentation: Create clear, detailed documentation for code, model workflows, and system architecture.
- Required Skills:
- Python: Proficient in Python programming for AI model development, data analysis, and backend services.
- SQL: Strong knowledge of SQL for querying, managing, and manipulating data.
- GenAI Prompting: In-depth experience in designing and optimizing prompts for GenAI applications, particularly in the context of LLMs (e.g., OpenAI).
- REST API: Experience in building and consuming REST APIs for seamless integration between AI models and other systems.
- Pandas: Expertise in using Pandas for data manipulation, analysis, and processing in AI workflows.
- Batch LLM Design: Hands-on experience in designing and deploying batch processing workflows for large-scale LLMs.
- Git & CI/CD: Strong experience with version control using Git and continuous integration/deployment (CI/CD) practices.
- Communication: Excellent verbal and written communication skills to effectively communicate with both technical and non-technical stakeholders.
- Good to Have:
- Prompt Flow: Knowledge of designing efficient prompt flow systems for complex AI tasks.
- Langchain: Familiarity with Langchain or similar frameworks for building end-to-end AI systems, particularly with LLMs.
- 6+years of hands-on experience in Python development, with a focus on AI/ML and GenAI technologies.
- Proven experience with LLMs, prompt engineering, and related technologies, such as OpenAI, Langchain, etc.
- A track record of deploying AI-driven systems and solutions at scale.
- Strong problem-solving abilities and experience in debugging complex systems.
eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.
Required Skills
Communication
Machine Learning
Engineering
Data Analysis
Documentation
Git
Python
SQL
Database Management
API Development
CI/CD Pipelines
Pandas
REST API
LangChain
CI/CD
REST APIs
Debugging
Model design
Batch Processing
Version control
System architecture
Continuous Integration
Model development
Data processing
Data manipulation
Generative
REST API Development
Large Language Models
OpenAI
Manipulation
Robustness
GenAI
Prompt engineering
LLMs
Generative AI
Batch
AI/ML
LLM
Written Communication
Querying
Sql Databases
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