EXL

Project Manager

EXL  •  Republic of India (Onsite)  •  19 days ago
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AI Success™

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)

  • 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

EXL

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
Website
exlservice.com
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