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Description Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for…
Principal Software Engineer at Precisely leads the design and architecture of high-performance Node.js-based SaaS applications, mentors engineers, and ensures alignment with business goals while leveraging AI tools for development.
Lead the design, build, and deployment of production data and AI solutions using Palantir Foundry and AIP, working directly with enterprise clients in a consulting capacity.
Builds and deploys NLP and LLM-based models for financial alpha research, fine-tuning open-source models and integrating internal/external datasets.
Builds NLP and GenAI solutions (LLMs, RAG, agents) to extract trading signals from text data for a quant fund.
Design, develop, and deploy AI agents and multi-agent systems using LLMs, building RAG pipelines and agent workflows with frameworks like LangChain, LangGraph, AutoGen, and CrewAI.
Senior Data & AI Engineer developing and industrializing Python applications for Data Governance, Data Quality, and Generative AI/Agentic AI solutions (RAG, Text-to-SQL, LLM orchestration, MCP) within a corporate Data Office.
Senior AI/ML Ops Engineer in Bangalore designs and deploys scalable AI/ML pipelines, automates CI/CD workflows, and optimizes cloud infrastructure for Smartsheet's global SaaS platform.
This Senior Data Engineer role focuses on designing and delivering AI-ready data pipelines for production-grade RAG and vector search systems. The position involves building batch and streaming workflows, ensuring data quality and governance, and collaborating closely with AI engineers to support client engagements.
Build and maintain Python-based backend services, data integrations with Snowflake, and LLM-powered features using FastAPI/Flask/Django and Node.js/TypeScript.
Data Scientist building production NLP/LLM solutions (RAG, semantic search, NER, summarization) on Databricks with Python for a SaaS platform serving energy and utility infrastructure sectors.
AI/ML DevOps Engineer building and maintaining CI/CD pipelines and production environments for Gen AI and ML solutions at CI Financial, working with Jenkins, Bitbucket, Snowflake, AWS, Docker, and Python.
The Senior Software Engineer will develop Python-based microservices and scalable data pipelines to support an AI-powered platform for P&C insurers. The role involves working with retrieval-augmented generation, cloud infrastructure, and ensuring secure, low-latency API performance.
Build and own production AI agents—the harnesses, tool layers, retrieval/RAG systems, eval/monitoring, and guardrails—for Tessera Labs' multi-agent enterprise transformation platform. Core tech: Python, TypeScript, LLM agent frameworks, RAG, traditional ML.
The AI Engineer will design, develop, and deploy end-to-end AI solutions, including generative AI applications, AI agents, and RAG systems. The role involves integrating these solutions into business processes and analyzing data using Python and SQL.
Designs, builds, and deploys enterprise-scale AI solutions including GenAI agents, RAG pipelines, and LLM-driven workflows using Azure AI services, while ensuring scalability, security, and Responsible AI compliance.
This Senior Data Engineer role involves building scalable data pipelines and lakehouse solutions within the Microsoft Azure and Fabric ecosystem to support generative AI and agent-based applications. The position is an initial three-month contract with the potential to transition into a permanent role.
The Staff Forward Deployed Engineer acts as a builder-consultant, embedding with customers to deploy production-grade agentic AI solutions using Google Cloud's Vertex AI and Gemini models. This role bridges the gap between frontier AI research and enterprise infrastructure by coding, debugging, and providing critical feedback to Google's product teams.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
Senior AI Engineer leads development of LLM-based language and voice technologies for healthcare, focusing on RAG, classification, and fine-tuning to enhance patient-provider interactions via conversational AI systems.
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