An AI agent that applies to roles like this on employers' own sites. 25 applications free, no card needed.
Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.
Job Description
Key Responsibilities
- Design and develop LLM-based applications using single-agent or simple multi-agent patterns for business use cases
- Build and maintain RAG pipelines: data ingestion → chunking → embeddings → retrieval → response generation
- Implement prompt engineering techniques (prompt templates, chaining, basic tool/function calling)
- Develop backend services/APIs for AI applications using Python frameworks (FastAPI / Flask / Streamlit)
- Integrate AI solutions with enterprise systems, databases, and APIs
- Apply basic guardrails and validation checks to improve response quality and reduce hallucination
- Work with Data Engineering teams to ensure data quality, pipeline efficiency, and proper documentation
- Collaborate with MLOps teams for deployment, monitoring, and iterative improvements
- Document solutions, reusable components, and best practices
Must-Have Skills
Experience
- 4–6 years total experience, with 1+ year hands-on experience in GenAI / LLM-based applications
LLM / GenAI & Agentic Engineering
- Strong hands-on experience with: - LLMs (Claude, OpenAI, etc.)
- RAG pipelines and retrieval optimisation
- GPT + Agentic AI implementation experience
- Experience with: - LangChain, LangGraph, or similar frameworks
- Agent orchestration and tool-calling architectures
- Deep understanding of: - LLM limitations, evaluation, and optimisation strategies
Core Engineering
- Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience
- Deep data analysis experience and handling large volume of data
- Fabric/Azure Databricks/Snowflake data engineering integration skills
- Good exposure to: - Cloud platforms (Azure/AWS/GCP)
- SQL
- Containers, CI/CD, monitoring
Data / AI Foundations (Mandatory)
Prior Experience In One Or More
- Data Engineering (ETL/ELT, pipelines, orchestration)
- Data Science / ML lifecycle (especially NLP)
- Analytics engineering / data products
- Exposure to model fine-tuning (LoRA/PEFT) or prompt optimisation techniques
- Experience with evaluation of LLM outputs (quality, relevance, latency)
- Understanding of enterprise data privacy and security considerations in GenAI
- Exposure to Azure AI / Azure OpenAI / AI Search ecosystems
- Experience working on real client-facing AI solutions or POCs
Skills
PythonData AnalysisData PrivacyData ScienceEtlImplementationSnowflakePrompt EngineeringAnalyticsFlaskAiMlSqlData EngineerIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
EXL, a leading operations management and analytics company, specializes in helping businesses enhance their decision-making and operational efficiencies through data-driven insights. EXL careers offer a variety of opportunities in analytics, business process management, and technology services. These EXL careers appeal to professionals eager to work in a dynamic environment where innovation and strategic problem-solving are key. EXL promotes a culture of growth and learning, encouraging employees to continually develop their skills. For those interested in working at the intersection of technology and business, the EXL careers page provides comprehensive details about current job opportunities, employee experiences, and the supportive, inclusive culture at EXL.
Similar Jobs
View all
New Data Science Analytics & Machine Learning roles in Noida.
One email a day. Unsubscribe any time.
