Project Manager

ExlService Holdings, Inc.; Delhi; On-site; INR 2,600,000 - 4,000,000; Full time

Job summary

ExlService Holdings, Inc. in Delhi, India seeks an experienced software professional to lead GenAI and NLP initiatives. You will develop LLM-powered applications, manage RAG pipelines, and optimize vector data workflows within a scalable backend environment.

The role emphasizes building AI agents, orchestration, and secure REST services, with cloud deployment and CI/CD integration. 4–8 years of software development and 2+ years in AI/GenAI are required, focusing on Python and data analytics.

Qualifications

• 4-8 years of software development experience.
• 2+ years working with AI/ML or GenAI applications.
• Strong proficiency in Python.
• Experience with LLM APIs, embeddings, and vector databases.
• Exposure to cloud-based deployments and containerization.
• Strong analytical and debugging capabilities.
• Experience with data handling and analytics using Python.

Responsibilities

• Develop LLM-powered applications using Python-based frameworks.
• Implement RAG pipelines and vector database integrations.
• Build prompt orchestration workflows and response optimization logic.
• Develop AI agents with tool integration capabilities.
• Implement reasoning loops, memory modules, and execution controls.
• Integrate AI agents into backend systems and APIs.
• Build REST APIs and microservices for AI apps.
• Optimize inference performance, latency, and cost.
• Support CI/CD pipelines and cloud deployments.
• Implement evaluation metrics for hallucination control and accuracy.
• Debug and resolve performance bottlenecks.
• Document code, workflows, and solution design.

Skills

Python

AI/ML

GenAI

LLM frameworks

REST APIs

Education

Bachelor’s degree in CS/IS/Engineering

M.Tech/MS in CS/AI (preferred)

Tools

FastAPI

REST services

Vector databases (Pinecone/FAISS/Weaviate)

Pandas/NumPy/SQL

CI/CD/Cloud deployments

Job description

• Job Role Data Management and Analytics-NLP/Gen AI/LLM
• Experience (In Years) 3-6

Job Description

Responsibilities

GenAI Application Development

• Develop LLM-powered applications using Python-based frameworks.
• Implement RAG pipelines and vector database integrations.
• Build prompt orchestration workflows and response optimization logic.

Agentic Workflow Implementation

• Develop AI agents with tool integration capabilities.
• Implement reasoning loops, memory modules, and execution controls.
• Integrate AI agents into backend systems and APIs.

Deployment & Optimization

• Build REST APIs and microservices for AI applications.
• Optimize inference performance, latency, and cost.
• Support CI/CD pipelines and cloud deployments.

Testing & Quality

• Implement evaluation metrics for hallucination control and accuracy.
• Debug and resolve performance bottlenecks.
• Document code, workflows, and solution design.

Experience and Competency Requirements

• 4-8 years of software development experience.
• 2+ years working with AI/ML or GenAI applications.
• Strong proficiency in Python.
• Experience with LLM APIs, embeddings, and vector databases.
• Exposure to cloud-based deployments and containerization.
• Strong analytical and debugging capabilities.
• Should have decent to good experience in data handling and analytics with python

Skills

GenAI & LLM Frameworks (Mandatory)

• Prompt engineering and evaluation frameworks

Agentic Systems & Orchestration

• Tool integrations and API orchestration
• Memory frameworks and contextual reasoning
• Guardrails, observability, and monitoring

Data & Infrastructure

• Vector databases (Pinecone, FAISS, Weaviate or equivalent)
• Python, FastAPI, REST services
• Data preprocessing and ETL for structured and unstructured data
• Data manipulation using Pandas, NumPy, and SQL
• Exploratory data analysis (EDA) and statistical analysis
• Data visualization (Matplotlib, Seaborn, Plotly, Tableau, Power BI)

Responsibilities

Responsibilities

GenAI Application Development

• Develop LLM-powered applications using Python-based frameworks.
• Implement RAG pipelines and vector database integrations.
• Build prompt orchestration workflows and response optimization logic.

Agentic Workflow Implementation

• Develop AI agents with tool integration capabilities.
• Implement reasoning loops, memory modules, and execution controls.
• Integrate AI agents into backend systems and APIs

Deployment & Optimization

• Build REST APIs and microservices for AI applications.
• Optimize inference performance, latency, and cost.
• Support CI/CD pipelines and cloud deployments

Testing & Quality

• Implement evaluation metrics for hallucination control and accuracy.
• Debug and resolve performance bottlenecks.
• Document code, workflows, and solution design.

Experience and Competency Requirements

• 4-8 years of software development experience.
• 2+ years working with AI/ML or GenAI applications.
• Strong proficiency in Python.
• Experience with LLM APIs, embeddings, and vector databases.
• Exposure to cloud-based deployments and containerization.
• Strong analytical and debugging capabilities.
• Should have decent to good experience in data handling and analytics with python

Skills

GenAI & LLM Frameworks (Mandatory)

• Prompt engineering and evaluation frameworks

Agentic Systems & Orchestration

• Tool integrations and API orchestration
• Memory frameworks and contextual reasoning
• Guardrails, observability, and monitoring

Data & Infrastructure

• Vector databases (Pinecone, FAISS, Weaviate or equivalent)
• Python, FastAPI, REST services
• Data preprocessing and ETL for structured and unstructured data
• Data manipulation using Pandas, NumPy, and SQL
• Exploratory data analysis (EDA) and statistical analysis
• Data visualization (Matplotlib, Seaborn, Plotly, Tableau, Power BI)

Qualifications

Bachelor’s degree required
M.Tech/ MS in Computer Science, AI, or related field preferred; Required Experience: 4-6 years