Project Manager

EXL Talent Acquisition Team
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📍 New Delhi, Delhi, India

About this role

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)

  • OpenAI APIs / Azure OpenAI
  • LangChain / LangGraph / LlamaIndex
  • Transformers (Hugging Face)
  • Prompt engineering and evaluation frameworks

 

Agentic Systems & Orchestration

  • Multi-agent design patterns (MCP, A2A, ReAct etc)
  • 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
  • Docker, Kubernetes
  • Cloud platforms (AWS, Azure, GCP)

Data Handling & Analytics Skills

  • 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

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)

  • OpenAI APIs / Azure OpenAI
  • LangChain / LangGraph / LlamaIndex
  • Transformers (Hugging Face)
  • Prompt engineering and evaluation frameworks

 

Agentic Systems & Orchestration

  • Multi-agent design patterns (MCP, A2A, ReAct etc)
  • 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
  • Docker, Kubernetes
  • Cloud platforms (AWS, Azure, GCP)

Data Handling & Analytics Skills

  • 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)

Minimum Qualification

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

Frequently Asked Questions

Is the salary disclosed for the Project Manager position at EXL Talent Acquisition Team?
The salary for this Project Manager role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Project Manager position at EXL Talent Acquisition Team located?
This Project Manager role at EXL Talent Acquisition Team is based in New Delhi, Delhi, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Project Manager position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Project Manager job at EXL Talent Acquisition Team posted?
This Project Manager position at EXL Talent Acquisition Team was posted on Jul 28, 2026. Apply as soon as possible — early applications are often reviewed first.
Project Manager
EXL Talent Acquisition Team
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