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Project Manager

EXL • Business Process Outsourcing (BPO) • AI Consulting & Integration • Bachelor's Degree • Python • SQL • Tableau • Power BI • Seaborn • Matplotlib • Plotly • ETL/ELT • 3 months ago
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Salary
≈ $10k – $22k per year (Estimated)
Location
In office (New Delhi)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Jul 28, 2026. EXL scores B on the Alion truth index.

Overview
Company
Impact
Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
exlservice.com • HQ: New York, United States • AI Consulting & Integration • Analytics & BI Consulting • Business Process Outsourcing (BPO) • 5000+ employees • Est. 1999
Tech stack of EXL

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

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