GenAI App Developer / Engineer

HCLTech

Chennai

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

A leading technology company in Chennai is looking for an Associate Manager specializing in GenAI App Development. The role involves API integration, machine learning, and designing multi-agent workflows. Ideal candidates should have extensive experience in Python, backend development, and API security. The position offers a full-time job with opportunities in a collaborative environment.

Qualifications

Strong knowledge of Python, machine learning, and NLP.
Expertise in API development and documentation.
Experience with task queues and multi-agent workflows.

Responsibilities

Design and implement API endpoints.
Develop prompting logic for Large Language Models.
Build multi-agentic systems for efficient task delegation.

Skills

Python

Machine Learning (PyTorch)

NLP (spaCy)

API Authentication (OAuth)

Database Integration (MySQL, PostgreSQL)

Tools

Docker

Kubernetes

Celery

Job description

Direct message the job poster from HCLTech

Associate Manager - TAG @ Engineering and R&D Services (ERS)

Job Title:

GenAI App Developer / Full Stack Developer / Python Backend Developer / API Developer / Prompt Engineer

Experience - 6Yrs to 12 Yrs

We are seeking a skilled GenAI App Developer (or Full Stack Developer, Python Backend Developer, API Developer, Prompt Engineer) with expertise in API development, backend logic, machine learning, and NLP to contribute to large-scale GenAI applications. You'll work on API integrations, system performance optimization, and developing multi-agent workflows, all within a dynamic, collaborative environment.

About the Role

Responsibilities

API Integration & Development:
Identify and define API integration points, ensuring clear documentation.
Design, implement, and test API endpoints (e.g., /generate, /status).
Implement rate limiting (Flask-Limiter) and authentication (OAuth, API keys).
LLM & NLP Integration:
Develop prompting logic for Large Language Models (LLMs) to ensure accurate responses.
Integrate machine learning frameworks (e.g., PyTorch) and NLP libraries (e.g., spaCy).
Design and implement multi-agentic workflows using patterns like actor model, publish-subscribe, and client-server.
Multi-Agentic System Design:
Build and coordinate multi-agentic systems, ensuring efficient task delegation, communication, and failure handling across agents.
Develop distributed task management using tools like Celery and Kubernetes.
Write unit/integration tests with Pytest.
Set up logging and monitoring for system health and debugging.
Database & Caching:
Integrate with MySQL, PostgreSQL, NoSQL (e.g., BigQuery, MongoDB), and vector databases (e.g., Pinecone).
Implement caching strategies (e.g., Redis, Memcached) to optimize performance.
Security & Compliance:
Ensure secure API access and data protection (OAuth, API keys, input validation).

Qualifications

Strong knowledge of Python, machine learning (PyTorch), and NLP (e.g., spaCy).
Expertise in API authentication (OAuth, API keys) and API documentation (Swagger).
Experience with task queues (Celery) and multi-agent workflows.
Hands-on experience with databases (MySQL, PostgreSQL, BigQuery, NoSQL).
Familiarity with caching (Redis, Memcached) and cloud platforms (AWS, Google Cloud, Azure).

Required Skills

Experience with vector databases (e.g., Pinecone, Weaviate, Cloud-based AI search (Azure AI Search).
Knowledge of CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
Familiarity with API design tools (e.g., Postman) and rate limiting (Flask-Limiter).

Preferred Skills