Apply on Kit Job: kitjob.in/job/4618b3

Role Overview

EXL is seeking an AI Engineer with strong techno-functional depth to drive end-to-end delivery across data analytics, AI/ML pipelines, cloud and digital transformation initiatives. This hands-on role operates at the intersection of business and technology, ensuring high-quality execution of both client and internal programs. The individual will be responsible for end-to-end development of cloud-native AI and analytics solutions designing scalable architectures, implementing LLM-driven components, building robust data and ML workflows, and delivering secure, efficient, production-grade systems on AWS that translate business objectives into actionable, high-impact technical outcomes.

Skills / Qualifications Required

Experience & Background

- 5–7 years in AI/ML engineering, analytics engineering, or cloud solution development.

- Experience building LLM-powered applications, preferably Natuaral Language to SQL or semantic search.

- Experience working with data pipelines, BI or data science teams to address business use cases.

Technical Expertise

- Solid proficiency in Python (FastAPI, LangChain, AWS SDK, data processing libraries).

- Advanced SQL capabilities, including query tuning, warehouse optimization, and performance diagnostics.

- Hands-on expertise with AWS AI/ML stack: Amazon Bedrock, SageMaker, Comprehend.

- Expertise with AWS analytics stack: Glue, Athena, Redshift, EMR, Lake Formation, Data Catalog.

- Experience with serverless and distributed architecture: Lambda, Step Functions, S3, API Gateway, ECS/Fargate.

- LLM engineering skills: prompt design, schema grounding, embedding models, constrained decoding.

- MLOps capabilities: CI/CD, model registry,



monitoring (CloudWatch), automated evaluation harnesses.

- Vector search / retrieval tech: OpenSearch vector engine, Aurora pgvector, DynamoDB vector indexes.

Business Skills

- Ability to convert business questions into semantic structures, SQL templates, and metric frameworks.

- Experience partnering with BI, analytics teams, and governance bodies on business logic alignment.

- Strong communication and stakeholder management across technical and business leadership.

Job Responsibilities

AI/ML Solution & Platform Engineering

- Design and develop the SQL engine using AWS-native AI/ML services and scalable architectures.

- Build LLM pipelines leveraging Bedrock/SageMaker, including embeddings, fine-tuning, and inference endpoints.

- Develop schema-grounding components (metadata embeddings, similarity scoring, table/column ranking).

- Implement SQL generation guardrails: security policies, sanitization, role-based access, explain-first logic.

- Build automated evaluation frameworks for accuracy, safety, latency, and cost metrics.

Analytics & Business Alignment

- Work with analytics teams to define semantic layers, KPI frameworks, and SQL standards.

- Develop taxonomies, data dictionaries, and metadata required for accurate LLM grounding.

- Ensure all generated SQL adheres to business-approved logic, governance, and KPI definitions.

- Drive adoption of NL-based analytics across business teams, product teams, and analyst communities.

Cloud Delivery & Governance

- Architect secure AWS solutions following best practices for IAM, VPC, KMS, encryption, and network segmentation.

- Implement robust CI/CD and MLOps workflows for continuous deployment and monitoring

Apply on Kit Job: kitjob.in/job/4618b3

📌 AI Engineer (Nellore)
🏢 EXL
📍 Nellore