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Job Description
Key Responsibilities
- Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases
- Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis)
- Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs)
- Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications
- Integrate LLM solutions with enterprise systems, data platforms, and workflows
- Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage
- Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling
- Contribute to reusable components, documentation, and engineering best practices
Overall Experience
- 6–9 years total experience
- 1–3+ years in hands-on GenAI / LLM application development (production use cases)
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
- Experience with fine-tuning techniques (LoRA, PEFT) or prompt tuning strategies
- Experience with enterprise GenAI security & privacy practices (data masking, access control, compliance)
- Familiarity with Azure AI ecosystem (Azure OpenAI, Azure AI Search, Fabric, etc.)
- Exposure to agentic coding tools (e.g., Claude Code or similar environments)
Skills
PythonData AnalysisData 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.
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