Full-Time
Senior Backend Engineer
Analytics
Level AI
201-500 employees
Optimizes call center data with AI
No salary listed
Noida, Uttar Pradesh, India
Hybrid
Some on-site days in Noida required.
 Software Engineering (1) |
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- Data Modelling: Skilled in designing data warehouse schemas (e.g., star and snowflake schemas), with experience in fact and dimension tables, as well as normalization and denormalization techniques.
- Data Warehousing & Storage Solutions: Proficient with platforms such as Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse Analytics.
- ETL/ELT Processes: Expertise in ETL/ELT tools (e.g., Apache NiFi, Apache Airflow, Informatica, Talend, dbt) to facilitate data movement from source systems to the data warehouse.
- SQL Proficiency: Advanced SQL skills for complex queries, indexing, and performance tuning.
- Programming Skills: Strong in Python or Java for building custom data pipelines and handling advanced data transformations.
- Data Integration: Experience with real-time data integration tools like Apache Kafka, Apache Spark, AWS Glue, Fivetran, and Stitch.
- Data Pipeline Management: Familiar with workflow automation tools (e.g., Apache Airflow, Luigi) to orchestrate and monitor data pipelines.
- APIs and Data Feeds: Knowledgeable in API-based integrations, especially for aggregating data from distributed sources.
- Design and implement analytical platforms that provide insightful dashboards to customers.
- Develop and maintain data warehouse schemas, such as star schemas, fact tables, and dimensions, to support efficient querying and data access.
- Oversee data propagation processes from source databases to warehouse-specific databases/tools, ensuring data accuracy, reliability, and timeliness.
- Ensure the architectural design is extensible and scalable to adapt to future needs.
- Experience with Google Cloud, Django, Postgres, Celery, Redis.
- Some experience with AI Infrastructure and Operations.
Level AI provides software for BPO call centers to improve customer experience and operational efficiency by blending human expertise with machine intelligence. It unifies data across silos and uses machine learning to automate tasks, guide decisions, and improve agent–customer interactions, all delivered via a subscription model. The platform stands out by offering end-to-end data integration tailored to the BPO industry and focusing on boosting sales conversions and QA productivity while lowering costs. The goal is to help BPO providers deliver better experiences and operate more efficiently and cost-effectively.
Company Size
201-500
Company Stage
Series C
Total Funding
$74.4M
Headquarters
Mountain View, California
Founded
2018
Simplify's Take
What believers are saying
- Rob Dwyer's Executive in Residence role accelerates enterprise product fit.
- $39.4M Series C funding fuels Naviant expansion to brands like VistaPrint.
- QA-GPT automates 90% of scorecards with near-100% accuracy.
What critics are saying
- OpenAI's sub-1-second voice API obsoletes Naviant in 3-6 months.
- Google Dialogflow free tiers erode SMB market share in 6-12 months.
- NICE CXone displaces VistaPrint renewals with 40% higher compliance.
What makes Level AI unique
- Naviant delivers sub-2-second latency with 50% better resolution rates.
- AgentIQ executes CRM updates and ticket resolutions beyond chat.
- Proprietary voice stack scans 100% interactions for automation discovery.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Remote Work Options
Parental Leave
401(k) Retirement Plan
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 1%2 year growth
↑ 1%Level AI has appointed Rob Dwyer as the customer experience industry's first Executive in Residence. Dwyer, a three-time ICMI Top 25 Thought Leader and host of the "Next in Queue" podcast, joined Level AI's post-sales team as a Senior Technical Account Manager in October 2025. In his expanded role, Dwyer will continue working directly with enterprise customers on AI transformations whilst advising Level AI's product and go-to-market teams. He will also author Grounded, a newsletter covering operational impacts of virtual agents and AI implementation strategies. "Rob is one of the most trusted voices in customer experience, and he's already one of us," said Ashish Nagar, founder and CEO of Level AI. The company created the role to bridge customer needs with technology development, keeping Dwyer embedded in daily customer work to maintain practical perspective.
Level AI, a customer experience AI company, is expanding its agentic CX platform with enhanced AI Virtual Agent capabilities that integrate human and AI agents rather than operating in isolation. The platform uses proprietary customer interaction data to identify optimal automation use cases and creates a continuous intelligence loop where both agent types share real-time learning. Key features include automation discovery that scans 100% of customer interactions, a proprietary voice stack delivering under two-second latency, and unified intelligence that applies human-grade benchmarks to both virtual and human agents. The platform reduces implementation timelines by tenfold compared to traditional solutions. Level AI serves brands including CustomInk, Extra Space Storage and VistaPrint. The company emphasises strategic human-AI balance rather than isolated automation for enterprise contact centres.
MOUNTAIN VIEW, Calif., June 9, 2025 /PRNewswire/ -- Level AI, a leader in customer experience AI, today announced the launch of Naviant, a next-generation AI virtual agent built to deliver truly human-like conversations and transform how organizations engage with customers.Level AI launches Naviant: the first true AI-native virtual agent for CX. Post this Introducing Naviant - The Future of AI Virtual Agents for Customer ExperienceNaviant addresses a growing challenge: balancing human empathy with the efficiency of automation. Level AI has long powered industry-leading Customer Experience Intelligence and Augmentation, including Voice of the Customer (VoC), Automated QA, Screen Monitoring, and Agent Assist. With Naviant, Level AI extends its proven closed-loop CX system to AI virtual agents, ensuring consistent quality and continuous improvement across hybrid contact centers with human and AI virtual agents."Naviant isn't just another chatbot—it's an AI virtual agent purpose-built to drive operational excellence and empathetic conversations," said Ashish Nagar, CEO of Level AI. "Level AI's core until now is deeply understanding human agent conversations, uncovering quality and CX improvement opportunities. With Naviant, we apply the same intelligence to build human-like AI agents that continuously improve through quality monitoring and continuous improvement feedback loop."Key Differentiators:AgentIQ for Actionable Automation: Naviant goes beyond simple dialogues to take real actions—like modifying orders, updating CRM records, and resolving tickets—driving over 50% better customer resolution rates.Naviant goes beyond simple dialogues to take real actions—like modifying orders, updating CRM records, and resolving tickets—driving over 50% better customer resolution rates
Level AI, a provider of conversation intelligence solutions for contact centers, today introduced AgentGPT, a generative artificial intelligence product for customer service teams.