Lead Data Engineer
Why This Role Stands Out
This Lead Data Engineer role offers an exciting opportunity to architect and build cutting-edge AI systems on Google Cloud Platform, with a competitive salary of $125,000-$130,000 and a flexible 4-day hybrid work model. You'll thrive here if you are a hands-on individual contributor passionate about full-stack development, AI agent frameworks, and driving engineering excellence, with ample chances to shape the future of organizational intelligence. Don't miss out on this chance to make a significant impact and grow your career!
Quick Overview
Job Description
About US
Texnere is built on the belief that human potential and organizational intelligence can be intentionally architected, scaled, and sustained. We harmonize human intelligence with artificial intelligence to design organizations that think, adapt, and grow with purpose.
Job Tile : Lead Data Engineer
Location Dear born , MI (Hybrid 4 Day)
Position Description:
This is a hands-on individual contributor role focused on building AI/agentic systems for an Enterprise Data Platform, with emphasis on multi-agent orchestration on Google Cloud Platform (Google Cloud Platform) Key expectations include: 1. Architecture: Design multi-agent AI systems, evaluate trade-offs (single vs. multi-agent, RAG vs. fine-tuning), and contribute to Architecture Decision Records. 2. Hands-on coding: Daily production-grade code across agent frameworks, backend/frontend, LLM-powered workflows (NL-to-SQL, semantic search, metadata enrichment), plus guardrails and observability for AI outputs. Familiarity with Agentic coding tools like opencode, Claude code etc is expected. 3. Full-stack work: Backend (Python/FastAPI) and frontend (Angular/React) development, chat and API interfaces, and evaluation/benchmarking tools, with end-to-end feature ownership. 4. Engineering excellence: Maintain high code quality, lead by example in reviews, conduct root-cause analysis on agent failures, and act as the team''s technical anchor for tough problems. 5. Collaboration: Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning, and help onboard new hires. In short, the role combines deep technical architecture responsibility with daily hands-on coding, centered on building robust, scalable multi-agent AI systems and serving as the team''s go-to technical expert.
Skills Required:
Artificial Intelligence & Expert Systems
Skills Preferred:
Google Cloud Platform
Experience Required:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field. - 5+ years of professional software engineering experience with demonstrated hands-on coding proficiency. - Demonstrable experience building AI-powered applications or operating LLM-based systems in production environments. - Proven ability to interpret ambiguous requirements and independently deliver functional, well-tested software.
Experience Preferred:
Experience with the Google Agent Development Kit (ADK) or comparable agent frameworks, such as CrewAI, or LangGraph. Familiarity with data engineering practices and data governance processes. Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics.
Education Required:
Bachelor''s Degree
Education Preferred:
Master''s Degree
Additional Safety Training/Licensing/Personal Protection Requirements:
The pay range for this role is $125k - $130k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
Skills
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